Relevant bibliographies by topics / Intelligence economica

Academic literature on the topic 'Intelligence economica'

Author: Grafiati
Published: 11 March 2023

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Journal articles on the topic "Intelligence economica"

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HM, Muhdar. "The Effects of Spiritual Intelligence and Organizational Citizenship Behavior to Employees Performance: Study at Sharia Banks in Gorontalo Province." Economica: Jurnal Ekonomi Islam 9, no. 2 (December 1, 2018): 179. http://dx.doi.org/10.21580/economica.2018.9.2.2806.

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<p>The employees’ existence as an organizational locomotive need to get attention for management because, it is employees who make the organization perform well. Spiritual intelligence and organizational citizenship behaviour (OCB) are known to have effect for improving employee performance. To see this effect, then research was conducted at Sharia Bank in Gorontalo Province with the aim of analyzing and describing the effect of: spiritual intelligence on OCB, spiritual intelligence on employee performance, OCB on employee performance, and spiritual intelligence on employee performance through OCB. The findings of this study are spiritual intelligence had positive and significant effect on OCB. OCB has positive and significant effect on employee performance. Spiritual intelligence has positive and insignificant effect on employee’s performance, but spiritual intelligence has positive and significant effect for employee performance through OCB.</p><p>Keberadaan karyawan sebagai lokomotif organisasi perlu mendapat perhatian oleh manajemen karena karyawan yang membuat organisasi berkinerja baik. Kecerdasan spiritual dan perilaku kewargaan organisasional (OCB) diketahui memiliki implikasi untuk meningkatkan kinerja karyawan. Untuk melihat implikasi ini, maka dilakukan penelitian pada Bank Syariah di Provinsi Gorontalo dengan tujuan menganalisis dan menggambarkan implikasi dari: kecerdasan spiritual terhadap OCB, kecerdasan spiritual terhadap kinerja karyawan, OCB terhadap kinerja karyawan, dan kecerdasan spiritual terhadap kinerja karyawan melalui OCB. Hasil penelitian menunjukkan bahwa kecerdasan spiritual memiliki implikasi positif dan signifikan terhadap OCB. OCB berimplikasi positif dan signifikan terhadap kinerja karyawan. Kecerdasan spiritual berimplikasi positif dan tidak signifikan terhadap kinerja karyawan, tetapi kecerdasan spiritual berimplikasi positif dan signifikan terhadap kinerja karyawan melalui OCB</p>
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Fataron, Zuhdan Ady. "Kualitas Kehidupan Kerja pada Wanita Pekerja: Studi pada Pekerja Wanita di Lingkup Bank BRI Syariah Cabang Semarang." Economica: Jurnal Ekonomi Islam 8, no. 2 (October 31, 2017): 285. http://dx.doi.org/10.21580/economica.2017.8.2.1546.

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<p>The double burden on women’s work as schedules and work demands can make it difficult for women to fulfill family demands to have an unfavorable impact on both their working lives and on family life. It is necessary for a positive work-family interaction built through spiritual intelligence and work engagement. The focus of this study is to examine the effect of spiritual intelligence and work engagement in explaining the positive work-family interaction in order to build quality work life. Research data related to these variables obtained through interviews using questionnaires answered by the respondents working women, have a family and have children. The data obtained were analyzed by Structural Equation Modeling (SEM) approach. The results of data analysis showed that spiritual intelligence and work engagement were statistically proved to have a significant positive effect on family-positive work interaction. Similarly, a positive work-family interaction is evidently able to explain the quality of work life.</p><p>Beban ganda pada pekerjaan perempuan seperti jadwal dan tuntutan kerja dapat menyulitkan perempuan untuk memenuhi tuntutan keluarga, memiliki dampak yang tidak menguntungkan baik pada kehidupan kerja maupun kehidupan keluarga mereka. Hal ini memerlukan adanya interaksi positif pekerjaan-keluarga yang dibangun melalui kecerdasan spiritual dan work engagement. Fokus dari penelitian ini adalah untuk menguji pengaruh kecerdasan spiritual dan work engagement dalam menjelaskan interaksi positif keluarga-kerja untuk membangun kehidupan kerja yang berkualitas. Data penelitian yang berkaitan dengan variabel-variabel ini diperoleh melalui wawancara dengan menggunakan kuesioner yang dijawab oleh responden wanita pekerja, memiliki keluarga dan memiliki anak. Data yang diperoleh dianalisis dengan pendekatan Structural Equation Modeling (SEM). Hasil analisis data menunjukkan bahwa kecerdasan spiritual dan work engagement secara statistik terbukti memiliki efek positif yang signifikan terhadap interaksi positif pekerjaan-keluarga. Demikian pula, interaksi positif pekerjaan-keluarga ternyata mampu menjelaskan kualitas kehidupan kerja.</p>
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Istiariani, Irma. "Pentingnya Kecerdasan Emosi dan Spiritual terkait Isu Sensitivitas Etika Auditor (Studi Kasus pada Internal Auditor BNI Syariah)." Economica: Jurnal Ekonomi Islam 9, no. 2 (December 1, 2018): 263. http://dx.doi.org/10.21580/economica.2018.9.2.2720.

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<p>Auditing and ethical sensitivity research in the academic area has often done, but these research is seldom done on the syaria banking sector, like Syaria BNI with the respondence is internal auditor. The central issue in this research is the author want to show empirically how matter important the EQ and ESQ toward ethical sensitivity and whether an inconsistence with the previous research. The method used literature research to explore the data. The results indicated that ethical sensitivity the internal auditor in Syaria BNI had linked with emotional and spiritual intelligence. Practical implications indicate the importance of emotional and spiritual intelligence that is closely related to the ethical sensitivity auditor conducted by internal auditor Syaria BNI.</p><p>Penelitian audit dan sensitivitas etika di bidang akademik sudah sering dilakukan, tetapi penelitian ini jarang dilakukan pada sektor perbankan syariah, seperti syariah BNI dengan responden adalah auditor internal. Isu sentral yang terdapat di dalam riset ini adalah penulis ingin menunjukkan secara empiris seberapa penting kualitas kecerdasan emosional dan spiritual terhadap sensitivitas etika. Metode yang digunakan di dalam penelitian ini studi literatur sebagai alat untuk memperoleh sumber data. Hasil dari penelitian ini adalah tingkat sensitivitas etika internal di BNI syariah memiliki hubungan yang kuat dengan kualitas kecerdasan emosional dan spiritual. Implikasi praktis dari penelitian ini menunjukkan pentingnya kualitas kecerdasan emosional dan spiritual yang erat kaitannya dengan tingkat sensitivitas etika auditor internal BNI syariah.</p>
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Kuregyan, S. "ELECTRONIC ECONOMICS, ARTIFICIAL INTELLIGENCE AND ECONOMIC THEORY." Экономическая наука сегодня, no. 10 (December 11, 2019): 41–46. http://dx.doi.org/10.21122/2309-6667-2019-10-41-46.

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The article is devoted to the study of electronic economy and artificial intelligence from the point of view of their influence on economic theory. Economic theory is still a science that studies the world of things and the economic relations between people and their economic behavior. At the same time, special importance is attached to the effective use of limited material resources in order to create more wealth. All this is becoming unattainable in the age of information technology, the digital economy, which strengthen the intangible forms of capital and its impact on human life. Therefore, the task is to show how the electronic economy can affect economic science, and how economic science can contribute to the development of this economy.
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Maune, Alexander. "Human capital intelligence and economic development." Problems and Perspectives in Management 14, no. 3 (September 27, 2016): 564–74. http://dx.doi.org/10.21511/ppm.14(3-2).2016.13.

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This article explored human capital intelligence and economic development in Zimbabwe with some examples adopted from Israel and many other countries. A qualitative-exploratory literature review methodology was used for the purpose of this study because of its suitability. The primary concern of the author was to have and provide an in-depth analysis and understanding of the multiple realities and truths pertaining to human capital intelligence and economic development in Zimbabwe. An inductive approach was adopted for the purpose of this study. The findings of this article will make it possible to generalise the role of human capital intelligence towards economic development of a country and to develop some valuable propositions for future studies. The findings showed that human capital intelligence plays a critical role in economic development, through laying a foundation for economic development, attracting foreign direct investment, personal remittances, as well as attracting venture capitalists. Empirical evidence from countries such as Israel shows the criticality of human capital intelligence development to economic development of a nation. This article will assist business managers, societal leaders, policymakers, as well as governments to understand the criticality of human capital intelligence towards the development of a company, society and nation at large. This article has, therefore, academic, societal and business value. Keywords: Zimbabwe, economic development, human capital, intelligence, intellectual capital. JEL Classification: O1, J41, O34
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LUȚAI, Raluca, and Adina MIHĂIESCU. "COMPETITIVE INTELLIGENCE ȘI OPEN SOURCE INTELLIGENCE – INSTRUMENTE UTILE PENTRU AFACERI COMPETITIVE." Buletinul Universității Naționale de Apărare „Carol I” 11, no. 4 (January 12, 2023): 57–64. http://dx.doi.org/10.53477/2065-8281-22-88.

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Conform principiilor securității economice, în era globalizării și a interdependențelor, agenții economici lucrează într-un mediu competitiv pe piețe incerte. În actualul mediu economic internațional, nu putem găsi nici un echilibru perfect, nici condiții de securitate pe termen lung. Cu toate acestea, o astfel de insecuritate are capacitatea de a stimula domeniul concurenţial, de a încuraja inovaţia şi competenţele adaptative. Anticiparea evoluțiilor și transformărilor rapide care au loc în cadrul piețelor sau al diferitelor industrii reprezintă o provocare căreia managerii companiilor îi fac față din ce în ce mai greu. Chiar dacă se acordă multă atenție academică elementelor conceptuale ale intelligence-ului competitiv și beneficiilor acestuia, se știe puțin despre modul în care sursele deschise pot acționa ca un instrument la scară largă în obținerea unui avantaj strategic. Lucrarea de față abordează această lacună în literatură și analizează modul în care sursele deschise (Open-source intelligence) pot oferi suport domeniului competitive intelligence.
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Lugachev, Mihail. "Information Revolutions, Economics and Economic Education." Moscow University Economics Bulletin 2017, no. 4 (August 31, 2017): 142–60. http://dx.doi.org/10.38050/01300105201747.

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The concept of permanent revolution was formulated in the XIX century became a subject of constant debate in humanities circle. In contrast-scientific and technological revolutions are natural components at all steps of human development. Their permanence is commonly recognized imperative, followed by numerous confirmations with a convincing inevitability. Information and industrial revolutions taking place now in the world are such evidences. Experts declare today the fourth industrial revolution. Peter Drucker fairly predicted the fourth information revolution. It is interesting that the most important trait of both revolutions is the artificial intelligence which functions in the sphere of Big Data and Internet of Things. The application field (not the only) is the economy-its structure and content. Experts state the emergence of information capitalism and the information economy — innovations obtaining special and revolutional traits. The article is devoted to analysis of main components of the innovations and offers the ways how they should be reflected in the curriculum for modern economists and managers.
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Bickley, Steve J., Ho Fai Chan, and Benno Torgler. "Artificial intelligence in the field of economics." Scientometrics 127, no. 4 (March 5, 2022): 2055–84. http://dx.doi.org/10.1007/s11192-022-04294-w.

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AbstractThe history of AI in economics is long and winding, much the same as the evolving field of AI itself. Economists have engaged with AI since its beginnings, albeit in varying degrees and with changing focus across time and places. In this study, we have explored the diffusion of AI and different AI methods (e.g., machine learning, deep learning, neural networks, expert systems, knowledge-based systems) through and within economic subfields, taking a scientometrics approach. In particular, we centre our accompanying discussion of AI in economics around the problems of economic calculation and social planning as proposed by Hayek. To map the history of AI within and between economic sub-fields, we construct two datasets containing bibliometrics information of economics papers based on search query results from the Scopus database and the EconPapers (and IDEAs/RePEc) repository. We present descriptive results that map the use and discussion of AI in economics over time, place, and subfield. In doing so, we also characterise the authors and affiliations of those engaging with AI in economics. Additionally, we find positive correlations between quality of institutional affiliation and engagement with or focus on AI in economics and negative correlations between the Human Development Index and share of learning-based AI papers.
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Yidana, Mumuni Baba, Francis Arthur, and Bethel Tawiah Ababio. "Teachers’ Application of Multiple Intelligences Approach in Teaching Economics." Education Research International 2022 (March 25, 2022): 1–16. http://dx.doi.org/10.1155/2022/2875555.

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The use of Gardner’s multiple intelligences (MI) theory is touted as one of the ideal ways of teaching students with diverse intelligences. However, there appears to be paucity of research in this area of knowledge. This study, therefore, explored the application of multiple intelligences approach in the teaching of Economics. The study was a quantitative research that adopted the descriptive cross-sectional survey design. In total, 100 senior high school teachers were selected for the study. Data were collected by the use of a 5-point Likert scale questionnaire, ranging from “never” to “very frequently.” Descriptive (mean and standard deviation) and inferential statistics (MANOVA) were used to analyse the data. The study revealed that Economics teachers frequently used interpersonal intelligences in teaching Economics. Additionally, it was found out that there was a statistically significant difference in the application of bodily-kinesthetic intelligence approach in the teaching of Economics based on Economics teachers’ teaching experience. However, the findings of the study showed no statistically significant difference in the Economics teachers’ application of MI approach in the teaching of Economics based on their gender. It was, thus, recommended that Ghana Education Service, Ministry of Education, and Non-Governmental Organisations should organise seminars and conferences for teachers to deepen their understanding of the application of the MI approach in the teaching of Economics. In addition, heads of senior high schools should organise professional development programmes and conferences to enable teachers acquire information on the following domains of MI: logical-mathematical, spatial, bodily-kinesthetic, musical, and naturalistic intelligences.
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MAHMUD, MUHAMMAD DAUD. "PENGARUH KECERDASAN INTELEKTUAL, EMOSIONAL, DAN SPIRITUAL TERHADAP PEMAHAMAN AKUNTANSI." Jurnal Bisnis dan Akuntansi 22, no. 1 (June 26, 2020): 47–56. http://dx.doi.org/10.34208/jba.v22i1.608.

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This study aims to examining the effects of intellectual, emotional, and spiritual intelligence on students' understanding of accounting both partially and simultaneously. The objects of this study are 58 final-year students who have taken 136 of academic credits (SKS) and passed the compulsory courses in Accounting Program at the Faculty of Economics, Universitas Muhammadiyah Maluku Utara. This study used quantitative methodology with multiple linear regression as an analysis tool. The data used consists of primary and secondary data. The primary data on this sudy were tabulation results of respondent’s answers obtained through questionnaires, while secondary data were obtained from student’s scores in the Accounting Program’s archives at the Faculty of Economics, Universitas Muhammadiyah Maluku Utara. The results of this study are as follows. (1) The intellectual intelligence and spiritual intelligence do not have any influence in students' understanding of accounting partially while emotional intelligence does. (2) Those three intelligences do not effect the students' understanding of accounting by simultaneously.
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Dissertations / Theses on the topic "Intelligence economica"

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Ciani, Gabriele <1993&gt. "Portfolio Selection with Swarm Intelligence." Master's Degree Thesis, Università Ca' Foscari Venezia, 2018. http://hdl.handle.net/10579/12769.

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The introduction of budget, cardinality and composition constraints to the portfolio selection problem implies the utilization of modern techniques for the achievement of the solution. In particular, this thesis will analyse Particle Swarm Optimization, a bio-inspired metaheuristic algorithm that aims to explore the search space in order to find optimal solutions. The problem considered consists in the minimization of a coherent risk measure, the expected shortfall, subject to risk adjusted performance constraints, budget, cardinality and fractions constraints. In practice, a chosen number of particles are exploring the set of feasible solutions. To the position of each particle is assigned a value of the objective function which accounts for the risk measure and for penalties associated to the constraints. Particles move according to signals given by their neighbors, by the particle with the best result and by their own memory. The implementation of the PSO algorithm is used to find a feasible and well diversified portfolio composed by Exchange Traded Funds sold on the Italian market, Borsa Italiana.
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Lattanzi, Giovanni <1990&gt. "La Business Intelligence nell'era dei Big Data." Master's Degree Thesis, Università Ca' Foscari Venezia, 2019. http://hdl.handle.net/10579/14615.

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"Nel giro di due giorni produciamo la stessa quantità di dati generati dagli albori della civiltà sino al 2003", sostiene nel 2010 Eric Schmidt. Secondo IBM, entro il 2020 il mondo avrà generato una massa di dati dell'ordine dei 40 zettabyte (1021 Byte). Queste dichiarazioni danno, un’idea sulla mole di dati con cui un’azienda, organizzazione deve fare i conti. Il mondo odierno è sommerso dai Big Data, provenienti dalle più svariate fonti. A partire da questa constatazione, il seguente lavoro si interroga su come si sia evoluta l’attività di Business Intelligence, e in che modo tale evoluzione possa portare enormi contributi al business. Nella prima parte dell’elaborato verrà proposta una esaustiva descrizione del perché le società necessitano di informazioni e di come il Sistema Informativo (e la Business Intelligence) creano informazioni utili. L’elaborato proseguirà cercando di definire che cosa sono i Big Data, e di arrivare a definire una metodologia che un’azienda deve seguire per implementare un sistema di Business Intelligence. Infine si andranno a descrivere gli strumenti preposti alla gestione e analisi dei Big Data, e alla luce di tali strumenti, verrà effettuata un’analisi sui dati provenienti dal Social Network: Twitter. Evidenziando in che modo i Big Data possono essere un’enorme opportunità per le aziende che decidono di investire su di essi.
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Dall'Anese, Davide <1994&gt. "The impact of Artificial Intelligence on unemployment: a systematic literature review." Master's Degree Thesis, Università Ca' Foscari Venezia, 2020. http://hdl.handle.net/10579/17930.

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The world is currently witnessing the effects of that period of fast technological advancements which has become known as the “Fourth industrial revolution”. Featuring it, there is the introduction of a broad set of new technologies, like big data and analytics, 3-D printing, the internet of things, and autonomous robots. If, on the one hand, the introduction of Artificial Intelligence allows firms to perform a wide range of tasks more efficiently, on the other hand, there are bad consequences its implementation may lead to. The focus of this thesis is the relationship between employment and Artificial Intelligence. Experts in the AI field and part of the literature warn about the massive technological unemployment that might occur in the near future. The common thinking is that thanks to AI, practically all jobs might be done by machines. In order to find out if the implementation of AI machines leads to unemployment, a systematic literature review is undertaken. The findings show the actual scenario is more complicated, with many factors to be taken into consideration.
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Scapolo, Marco <1988&gt. "L'applicazione della Business Intelligence e delle tecniche di CRM nella pianificazione strategica di marketing: il caso CEEI Srl." Master's Degree Thesis, Università Ca' Foscari Venezia, 2014. http://hdl.handle.net/10579/4855.

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Il progetto prevede un'analisi completa dell'azienda padovana CEEI Srl e tramite le informazioni sui clienti ottenuti in azienda, mediante lo studio dei database e dei dati disponibili, procedere ad una profilazione dei clienti mediante tecniche di Business Intelligence e CRM in modo da poter poi sviluppare e proporre un piano di marketing congruente con le informazioni ottenute dalle analisi.
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STAFFINI, ALESSIO. "ESSAYS ON COMPLEX ECONOMIC SYSTEMS AND ARTIFICIAL INTELLIGENCE." Doctoral thesis, Università Cattolica del Sacro Cuore, 2022. http://hdl.handle.net/10280/131851.

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Questa tesi mira a modellare alcuni aspetti dell'ambiente economico come sistemi complessi e ad analizzare le dipendenze di tali sistemi utilizzando in particolare la Modellazione ad Agenti (ABM) e l'Intelligenza Artificiale. Nel primo capitolo ci proponiamo di modellare le dinamiche del mercato del lavoro con un ABM, prestando particolare attenzione agli effetti che l'istruzione produce nella competizione tra individui in cerca di lavoro e sulla formazione del loro salario. Creiamo due tipi di agenti che interagiscono tra loro e con l'ambiente circostante: i lavoratori e le imprese. La caratteristica principale del modello è che le competenze dei lavoratori sono assegnate casualmente e l'ottenimento di un titolo di studio avviene all'interno del modello in modo endogeno. Anche il livello tecnologico delle imprese è assegnato casualmente, e queste condizioni portano ad ottenere risultati molto simili ad ogni run. Mostriamo che, modificando le condizioni di partenza, in qualsiasi scenario analizzato i lavoratori poco qualificati sono quelli maggiormente penalizzati sia nel tasso di occupazione che nel livello salariale, e sottolineiamo quanto sia importante l'investimento in capitale umano. Controlli di robustezza hanno confermato l'affidabilità dei risultati ottenuti. Nel secondo capitolo presentiamo una Convolutional Neural Network combinata con una Bidirectional Long Short-Term Memory Network (CNN-BiLSTM) per la previsione di variabili macroeconomiche, analizzando 18 serie storiche dell'economia degli Stati Uniti d'America. Nel terzo capitolo, sviluppiamo una Deep Convolutional Generative Adversarial Network (DCGAN) per la previsione del prezzo delle azioni. Considerando sia le previsioni single-step che multi-step, i risultati ottenuti dalle nostre architetture proposte sono promettenti e forniscono risultati migliori rispetto ai modelli econometrici di base considerati, sia nel contesto economico che finanziario. Suggeriamo che l'Intelligenza Artificiale (ed in particolare, il Deep Learning) dovrebbe essere studiata e incorporata maggiormente dagli economisti, poiché riteniamo che possa fornire risultati eccellenti, soprattutto in un'era in cui la disponibilità di dati sta crescendo sempre di più.
This thesis aims to model some aspects of the economic environment as complex systems, and to analyze the dependencies of such systems using in particular Agent-Based Modeling (ABM) and Artificial Intelligence. In the first chapter, we aim to model the dynamics of the labor market with an ABM, paying particular attention to the effects that education produces in the competition between individuals looking for a job and on wage’s formation. We create two types of agents that interact with each other and with the surrounding environment: workers and firms. The main feature of the model is that the workers' skills are randomly assigned and obtaining an educational qualification takes place within the model endogenously. Even the technological level of the firms is randomly assigned, and these conditions lead to obtain very similar results at each run. We show that, by modifying the starting conditions, in any analyzed scenario the low-skilled workers are the ones penalized the most both in the employment rate and in the wage amount, and we stress how important the investment in human capital is. Robustness checks confirmed the reliability of the obtained results. In the second chapter, we propose a Convolutional Neural Network combined with a Bidirectional Long Short-Term Memory Network (CNN-BiLSTM) for the forecasting of macroeconomic variables, analyzing 18 time series about the economy of the United States of America. In the third chapter, we develop a Deep Convolutional Generative Adversarial Network (DCGAN) for stock price forecasting. Considering both single-step and multi-step forecasts, the results obtained by our proposed architectures are promising and improve upon the considered baseline econometric models, both in the economic and financial context. We suggest that Artificial Intelligence (and in particular, Deep Learning) should be investigated and incorporated more by the economists, as we believe it can deliver excellent results, especially in an era where big data availability is growing more and more.
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Andreoli, Silvia <1990&gt. "Città intelligenti per un turismo intelligente." Master's Degree Thesis, Università Ca' Foscari Venezia, 2014. http://hdl.handle.net/10579/5181.

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In un periodo come questo di crisi economica, di crisi ambientale e di crisi delle risorse, le soluzioni “smart” possono consentire il passaggio da una crescita lineare, la quale implica il continuo consumo di risorse sempre meno disponibili, a uno sviluppo circolare che, al contrario, minimizzi il consumo di energia, acqua e minerali. Perché questo sia possibile, è necessario trasformare il sistema primitivo delle nostre tecnostrutture in una rete maggiormente sofisticata in grado di gestire segnali multidirezionali. Questa trasformazione è iniziata con la trasformazione delle reti elettriche, ma coinvolge anche i sistemi di trasporto, le abitazioni e le stesse attività produttive. La domanda che ci si pone attualmente riguarda il salto di qualità che verrà consentito in un prossimo futuro grazie all’impiego di soluzioni informatiche: possiamo infatti immaginare una “smart city cloud” che darà l’avvio a quel salto gestionale necessario per contenere l’utilizzo delle materie prime e di ridurre l’impatto ambientale. “Fare meglio con meno” grazie all’ausilio delle tecnologie informatiche e all’attivazione di processi partecipativi permette lo sviluppo di città sempre più intelligenti: stiamo, infatti, vivendo una fase di transizione che durerà un paio di decenni, trascorsi i quali non si parlerà più di smart cities, perché questa sarà la connotazione usuale degli agglomerati urbani. Tuttavia, la riprogettazione di una città richiede di sincronizzarsi sui tempi lunghi dell’urbanistica e dell’architettura, delle infrastrutture e del’economia reale e implica il ridisegno delle condizioni nelle quali evolvono la cultura, la società e l’ambiente. In sintesi, la rimodulazione della città é un’occasione per ripensare in profondità le dinamiche della convivenza civile. In particolar modo, i campi che potrebbero essere investiti attraverso l’applicazione delle tecnologie digitali riguardano la sanità, l’istruzione, i trasporti, la gestione dell’energia, la pubblica amministrazione, i mercati internazionali e anche il turismo. Ciononostante, la città intelligente non é un obiettivo da raggiungere, ma un processo costante di cambiamento; la smart city non viene definita dalla quantità di tecnologia da introdurre, ma al contrario, essa deve mettere al proprio centro le persone che consapevolmente fanno uso delle tecnologie. L’interrelazione tra lo sviluppo di Internet of Things, la diffusione del social networking come strumento di comunicazione tra le persone, l’uso delle piattaforme di cloud computing per assemblare dati provenienti da fonti diverse, la pervasività dei device mobili che ci consentono di essere sempre connessi al web, l’insieme di questi fattori é davvero in grado di cambiare lo scenario della città. La città intelligente é dunque un programma di governo perché si pone come obiettivo quello della gestione consapevole dei processi di innovazione e perché obbliga le amministrazioni, gli stakeholders e i cittadini a compiere un salto culturale epocale. Nella prima parte di questo elaborato ho dunque illustrato le politiche che hanno portato allo sviluppo di una sensibilità ambientale, la caratteristiche di una città intelligente e alcuni esempi di best practice. Nella seconda parte dell’elaborato ho scelto di approfondire la tematica del turismo urbano in rapporto alle città intelligenti, e ho indagato sulla connessione tra città intelligenti e turismo intelligente, ovvero sull’importanza che l’approccio smart riveste nelle politiche turistiche di una città.
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Levytskyi, Valentyn. "Economic intelligence of the modern state." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2001. http://handle.dtic.mil/100.2/ADA389697.

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Thesis (M.A. in International Security and Civil-Military Relations) Naval Postgraduate School, March 2001.
Thesis advisors, Robert Looney, Thomas Bruneau. Includes bibliographical references. Also available online.
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Falconer, Nick. "An Examination of the Accuracy of Economic Country Forecasts produced by the Economist Intelligence Unit (EIU)." Master's thesis, University of Cape Town, 2018. http://hdl.handle.net/11427/29631.

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This paper investigates the accuracy of Country-Level Forecasts for six variables: Real GDP Growth, Inflation (Consumer Price Index), Short-Term Interbank Rate, Budget Deficit (as % of GDP), Current Account Balance (as % of GDP) and the Unemployment rate. The data used in this analysis is produced by the Economist Intelligence Unit (EIU) and covers the period 1996-2013. The two forecast horizons of primary interest are Current-Year (t) and One-Year-Ahead (t+1) forecasts. A range of statistical methods are used to ascertain the accuracy of the EIU forecasts in 103 countries for most of the variables, while the accuracy of the Unemployment rate forecasts used data for 68 countries. Generally, the results confirm this paper’s four primary hypotheses: (1) EIU forecasts are more accurate than No-Change-Forecasts; (2) EIU forecasts for higher income countries have smaller errors than forecasts for lower income countries; (3) The accuracy of EIU forecasts decreases as forecast horizon increases; and (4) The accuracy of EIU forecasts was relatively weaker during the period of the Global Financial Crisis (2008-2009) than in other periods.
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Davies, Peter. "Dark matter : economic intelligence in Whitehall, 1928-1980." Thesis, Queen Mary, University of London, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.552732.

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British economic intelligence has a longer pedigree than the Joint Intelligence Committee (JIC) and is the precursor of inter-departmental intelligence coordination in Whitehall. Notwithstanding its ancestry, importance and the extensive resources committed to it, economic intelligence remains a missing field of intelligence history. This thesis is a history of a core intelligence capability from its emergence as a discrete field in the 1930s to the end of detente. For the postwar period Britain's economic intelligence expertise was located in the Ministry of Defence (MoD). The thesis explains how this anomalous situation arose, flourished and was eventually overthrown. It examines the organisations collating, analysing and assessing economic intelligence, placing special emphasis on the roles of the MoD's Joint Intelligence Bureau and Defence Intelligence Staff - two vital organisations almost entirely missing from intelligence historiography - and which together with economic intelligence constitute the 'Dark Matter' of Whitehall's intelligence machine. While most intelligence histories acknowledge the uniqueness of the intelligence process this study questions the reality of an intelligence 'community', proposing that the identification of intelligence assessment with the JIC has been at the expense of deeper knowledge of how the intelligence machine functions. Instead it emphasises the compartmentalisation and rivalries within and between departments, and their determination to resist central encroachment on their authority. Treating economic intelligence holistically presented special difficulties for Whitehall. The economic Departments resented the MoD as the locus of economic intelligence but were not prepared to undertake the work themselves or accept a central Cabinet Office capability. The result was a net loss of economic intelligence capability in Whitehall at the very moment when it was required to assess emerging global economic issues.
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Dylan, Huw. "The Joint Intelligence Bureau : economic, topographic, and scientific intelligence for Britain's Cold War, 1946-1964." Thesis, Aberystwyth University, 2010. http://hdl.handle.net/2160/6338ec52-6154-47ca-ba92-c6bf092281bf.

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This thesis examines the British Joint Intelligence Bureau (JIB), which, between its creation in 1946 and its end in 1964, gathered, collated and processed topographic, economic, scientific, and atomic intelligence. It did so on an inter-service, national level. The thesis examines the creation of the organisation, in the aftermath of the Second World War, exploring what factors and which people supported the creation of the new agency. It then moves on to examine the work of the JIB in several of its key fields of work, namely topography, economics and monitoring the threat from Soviet nuclear forces, before examining some of the JIB’s international connections and how these contributed to its work. It concludes with an examination of how the JIB begat the Defence Intelligence Staff (DIS). It argues that the creation of the JIB was an appropriate response to the need to centralise and retrench in the intelligence machinery after the War, but that the organisation, in essence, represented a compromise between those who wanted to fully centralise military (and military-relevant) intelligence and those who wished to preserve service independence. Over the course of its existence it made important contributions to several key areas of policy – including mapping the Soviet Union for nuclear strike planning, the economic containment of the USSR, as well as China and North Korea during the Korean War, and in monitoring the production of Soviet bombers and missiles – before becoming a central component of the new DIS.
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Books on the topic "Intelligence economica"

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Gagliano, Giuseppe. Guerra economica e intelligence: Il contributo della riflessione strategica francese. [Rome]: Fuoco edizioni, 2013.

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H, Potter Evan, and Centre for Trade Policy and Law., eds. Economic intelligence & national security. Ottawa: Carleton University Press, 1998.

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W, Cook Curtis, ed. Competitive intelligence: Create an intelligent organization and compete to win. London: Kogan Page, 2000.

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Ein-Dor, Phillip, ed. Artificial Intelligence in Economics and Managment. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1427-1.

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Chen, Shu-Heng, and Paul P. Wang, eds. Computational Intelligence in Economics and Finance. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-06373-6.

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Chen, Shu-Heng, Paul P. Wang, and Tzu-Wen Kuo, eds. Computational Intelligence in Economics and Finance. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72821-4.

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Zekos, Georgios I. Economics and Law of Artificial Intelligence. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64254-9.

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Chen, Shu-Heng. Computational Intelligence in Economics and Finance. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004.

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1948-, Pau L. F., International Federation of Automatic Control., and International Workshop on Artificial Intelligence in Economics and Management (1985 : Zurich, Switzerland), eds. Artificial intelligence in economics and management. Amsterdam: North-Holland, 1986.

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Marwala, Tshilidzi. Economic Modeling Using Artificial Intelligence Methods. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5010-7.

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Book chapters on the topic "Intelligence economica"

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Taillard, Michael. "Economic Intelligence." In Economics and Modern Warfare, 169–77. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92693-3_20.

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Taillard, Michael. "Economic Intelligence." In Economics and Modern Warfare, 139–46. New York: Palgrave Macmillan US, 2012. http://dx.doi.org/10.1057/9781137282255_21.

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Uchegbu, Ijeoma, Yael Rodriguez-Guadarrama, Tiago Rua, Muralikrishnan R. Kartha, Musa Abdulkareem, and Steffen E. Petersen. "Health Economics, Economic Evaluation and Artificial Intelligence Technology." In Artificial Intelligence in Cardiothoracic Imaging, 535–47. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92087-6_50.

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Gintis, Herbert. "Intelligence." In The New Palgrave Dictionary of Economics, 6639–40. London: Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-349-95189-5_871.

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Gintis, Herbert. "Intelligence." In The New Palgrave Dictionary of Economics, 1–2. London: Palgrave Macmillan UK, 1987. http://dx.doi.org/10.1057/978-1-349-95121-5_871-1.

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Kahraman, Cengiz, İrem Uçal Sarı, Sezi Cevik Onar, and Basar Oztaysi. "Fuzzy Economic Analysis Methods for Environmental Economics." In Intelligent Systems Reference Library, 315–46. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42993-9_14.

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Shamin, Roman V., and Natalia B. Brazhnikova. "Machine Learning and Artificial Intelligence: The Basis of Intelligent Machines in the Cyber Economy." In Contributions to Economics, 117–23. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31566-5_12.

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Kinoshita, Eizo, and Takafumi Mizuno. "Economic Rationalities and Governmental Actions on the Thetical Economics and the Antithetical Economics." In Intelligent Decision Technologies 2016, 389–95. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39627-9_34.

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Deinichenko, V., G. Bikesheva, and A. Borisov. "Fuzzy Approach in Economic Modelling of Economics of Growth." In Artificial Intelligence in Economics and Managment, 155–73. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1427-1_11.

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Zekos, Georgios I. "Legalizing Artificial Intelligence." In Economics and Law of Artificial Intelligence, 361–400. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64254-9_9.

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Conference papers on the topic "Intelligence economica"

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Monteiro, Juarez, Roger Granada, Rafael C. Pinto, and Rodrigo C. Barros. "Beating Bomberman with Artificial Intelligence." In XV Encontro Nacional de Inteligência Artificial e Computacional. Sociedade Brasileira de Computação - SBC, 2018. http://dx.doi.org/10.5753/eniac.2018.4430.

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Artificial Intelligence (AI) seeks to bring intelligent behavior for machines by using specific techniques. These techniques can be employed in order to solve tasks, such as planning paths or controlling intelligent agents. Some tasks that use AI techniques are not trivially testable, since it can handle a high number of variables depending on their complexity. As digital games can provide a wide range of variables, they become an efficient and economical means for testing artificial intelligence techniques. In this paper, we propose a combination of a behavior tree and a Pathfinding algorithm to solve a maze-based problem using the digital game Bomberman of the Nintendo Entertainment System (NES) platform. We perform an analysis of the AI techniques in order to verify the feasibility of future experiments in similar complex environments. Our experiments show that our intelligent agent can be successfully implemented using the proposed approach.
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Matić, Mirjana. "THE IMPORTANCE OF EMOTIONAL INTELLIGENCE OF LEADERS IN CRISIS SITUATIONS." In Sixth International Scientific-Business Conference LIMEN Leadership, Innovation, Management and Economics: Integrated Politics of Research. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2020. http://dx.doi.org/10.31410/limen.s.p.2020.77.

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In the modern world, today, due to rapid changes, development of technology, market demands, we can conclude that more than ever there is a danger of various types of crises. In this regard, more than ever before, it is necessary to understand what resources companies need to be more resilient to crises. This paper provides an overview of the theoretical framework, as well as research conducted in the field of emotional intelligence and crisis management. Many studies show that the importance of emotional intelligence of leaders in a crisis is great. Leaders who have a higher level of emotional intelligence possess certain skills that can be crucial to the organization in crisis situations. This paper aims to present the correlation that exists between emotionally intelligent leaders and crisis situations, taking into account several studies conducted in this area. All studies conducted have shown that there is a positive relationship between the emotional intelligence of leaders and crisis management. The conclusion is that examining the impact of the relationship between the emotional intelligence of leaders and the crisis is an exceptional framework that provides an opportunity for human resources to operate within organizations, as management of organizations themselves, seeking and shaping leaders with emotional intelligence skills.
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Slavić, Agneš, Maja Strugar Jelača, Nemanja Berber, and Radmila Bjekić. "The Relationship between Managers’ Emotional Competencies and Organizations’ Financial Performances." In Seventh International Scientific-Business Conference LIMEN Leadership, Innovation, Management and Economics: Integrated Politics of Research. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2021. http://dx.doi.org/10.31410/limen.s.p.2021.59.

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The topic of emotional intelligence has attracted considerable in­terest from both academics and practitioners. Emotionally intelligent lead­ers have the ability to express, understand and regulate their own as well as others’ emotions. Previous evidence suggests that emotionally intelligent leaders play a crucial role in encouraging employees to perform at their best at work, which in turn can improve the financial performance of the organi­zation. Still, there is little empirical evidence to support these claims from de­veloping countries. Therefore, the research question of this paper is: Which of the leaders’ emotional competencies are required for outstanding financial performance of the organization? In this study, emotional competencies are analyzed through the self-awareness and self-management clusters. This study proposed and tested the relationship between managers’ emotional competencies and an organization’s financial performances, such as growth in profits, profitability, return on assets (ROA) and return on equity (ROE). Em­pirical data were obtained via a questionnaire survey involving 300 employ­ees from 80 organizations in the Republic of Serbia. The methodology used in the study is a well-known ESCI questionnaire. The findings revealed a weak positive correlation among emotional self-awareness, aspiration for success and adaptability as emotional intelligence competencies and financial per­formances, whereas emotional self-control and optimism did not have any statistically significant relationship with financial performances. The results provide implications regarding the development of emotionally intelligent leaders, supporting emotional competence at the organizations.
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Ding, Wei, and Zhaoyi Li. "Analysis of Intelligent Design of Service Robot Based on Intelligent Transformation." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002317.

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Over the past 30 years from the end of the 20th century to the present, service robotics technology has made great progress, and many important results have been achieved in the broad interdisciplinary fields of robot mechanical structure, information transmission and interaction, material science, automation control, sensor technology, etc. . Every breakthrough in key technologies has enabled service robots to develop rapidly in the direction that people expect. With the in-depth development of Internet technology, the comprehensive popularization and promotion of the Internet of Things technology led by 5G. Coupled with the continuous breakthrough of new developments in the field of artificial intelligence, the development of service robots has encountered an unprecedented technological dividend period, and will surely usher in considerable development, becoming an important driving force for the promotion of human civilization and economic development.The rapid development of many advanced technologies such as artificial intelligence, big data, and 5G communications has directly promoted the rapid development of the robotics industry. Under the impetus of new technologies, service robots closely related to humans are developing rapidly. Service robots are becoming more and more intelligent. In this context, the design principles of service robots, interaction design, service mode design and other related fields are in urgent need of intelligent transformation, and the concept of intelligent design with artificial intelligence as the core has begun to be paid attention to by the academic community.The research on intelligent design in academia is currently mainly in the review stage, and the field of discussion is mainly focused on graphic design. This article hopes to broaden the research field of intelligent design by studying the intelligent design of service robots. At the same time, it provides new ideas and new paradigms for the innovative design of service robots to improve the user experience and service quality of service robots. This research mainly studies the design principles, design goals, interaction design, service mode and design process of existing service robots based on the perspective of intelligent design. This article mainly uses the literature analysis method and the desktop survey method to sort out related theories and design methods and combines specific practical case analysis to make a bold outlook on the intelligent design of service robots to help the intelligent transformation of service robots.In the era of intelligent design, the design principles of service robots are also changing and iterating. First of all, service robots must adapt to their service scenarios. Different service scenarios have different requirements for the function and existence of the product; secondly, Secondly, the interaction design of service robots should be carried out based on user experience, and technology serves as a tool to enhance users’ experience ; the last is the discussion of appearance design principles of service robots. This article takes the LeoBots Scrub Singapore sweeping robot as an example to propose that the appearance design of service robots needs to be developed around safety, emotion and bionics. Intelligent design is guided by traditional design thinking and methods, and conducts big data analysis and intelligent research on the essence, process, thinking and other aspects of industrial design through related design methodology, as the basis for intelligent design to simulate artificial design. The core technical means of intelligent design is artificial intelligence, which is based on big data analysis, combined with artificial intelligence technologies such as machine learning, artificial neural networks, genetic algorithms, and deep learning to achieve the intelligent development of the entire process design.The change of service robot design principles and the addition of intelligent design have changed the design process of service robots. Based on the practical cases of Haier U-BOT robots, this article actively explores the service robot design process under the development trend of intelligent transformation based on intelligent design in order to provide new ideas for the intelligent design of service robots. The intelligent transformation of service robots promotes the development of intelligent design, and intelligent design drives the intelligent transformation of service robots.
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Whalen, Thomas. "Economic value of intelligence." In NAFIPS 2009 - 2009 Annual Meeting of the North American Fuzzy Information Processing Society. IEEE, 2009. http://dx.doi.org/10.1109/nafips.2009.5156467.

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Hansen, Samuel, and Amin Mirkouei. "Past Infrastructures and Future Machine Intelligence (MI) for Biofuel Production: A Review and MI-Based Framework." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-86150.

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Recent interest in alternative energy sources, particularly biofuels from biomass, is becoming increasingly evident due to energy security and environmental sustainability concerns, such as depletion of conventional energy reserves and carbon footprint effects, respectively. Existing fuels (e.g., biodiesel and ethanol) are neither sustainable nor cost-competitive. There is a need to integrate the recent advanced manufacturing approaches and machine intelligence (MI) techniques (e.g., machine learning and artificial intelligence), targeted on the midstream segment (i.e., pre-/post-conversion processes) of biomass-to-biofuel supply chains (B2BSC). Thus, a comparative review of the existing MI approaches developed in prior studies is performed herein. This review article, additionally, proposes an MI-based framework to enhance productivity and profitability of existing biofuel production processes through intelligent monitoring and control, optimization, and data-driven decision support tools. It is further concluded that a modernized conversion process utilizing MI techniques is essential to seamlessly capture process-level intricacies and enhance techno-economic resilience and socio-ecological integrity of B2BSC.
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Villata, Serena. "Artificial Argumentation for Humans." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/818.

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The latest years have seen an increasing interest in the topic of Artificial Intelligence (AI), the challenges it is facing, and the recent advances it has achieved, e.g., intelligent personal assistants. Differently from the past, where research on AI was mainly confined in research labs, the topic is now attracting interest from a wider audience, including policy-makers, information technology companies, and philosophers. Alas, these advances have also raised a number of concerns on AI’s social, economic, and legal impact. Hence, the definition of design principles and automated methods to support transparent intelligent machine deliberation is highly desirable. Argumentation is important for handling conflicting beliefs, assumptions, opinions, goals, and many other mental attitudes. Argumentation pervades human intelligent behavior, and I believe that it is a mandatory element to conceive autonomous artificial machines that can exploit argumentation models and tools in the cognitive tasks they are required to carry out. Results in this area will allow reducing the gap between humans and machines towards a good AI hybrid society.
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Su, Shi, Ralf Schulze-Riegert, Hussein Mustapha, Philipp Lang, and Chakib Kada Kloucha. "Artificial Intelligence for Infill Well Placement and Design Optimization in Multi-layered/stacked Reservoirs Under Subsurface Uncertainty." In Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/207899-ms.

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Abstract Effective well placement and design planning accounts for subsurface uncertainties to estimate production and economic outcomes. Reservoir modelling and simulation workflows build on ensemble approaches to manage uncertainties for production forecasting. Ensemble generation and interpretation requires a higher degree of automation analytics and artificial intelligence for fast value extraction and decision support. This work develops practical intelligent workflow steps for a robust infill well placement and design scenario in multi-layered/stacked reservoirs under uncertainty. Potential well targets are classified by an opportunity index defined by a combination of rock and hydrocarbon flow properties as well as connected volumes above a minimum economic volume. Unsupervised learning techniques are applied to automate the search for alternative target areas, so-called hotspot regions. Supervised machine/learning models are used to predict infill well performance based on simulated and/or past production experience. A stochastic evaluation including all ensemble cases is used to capture uncertainty. Vertical, deviated, horizontal and multilateral wells are proposed to optimally target single or connect to multiple hotspot regions under technical and economic constraints. A structured workflow design is applied to a multi-layered/stacked reservoir model. Subsurface uncertainties are described and captured by multiple model realizations, which are constrained in areas of historical wells. An infill well program for a multi-layered/stacked reservoir is defined for incremental production increase under economic constraints. This work shows how robust well location and design builds on the full ensemble of cases with a high degree of automation using analytics and machine-learning techniques. Both production and economic targets are calculated and compared to a reference case for robust solution verification and probability of success. In conclusion, an overall reservoir-driven field development strategy is required for efficient execution. However, automation is well applicable to repetitive workflow steps which includes hotspot search in an ensemble of validated reservoir models. This work presents an integrated, intelligent solution for informed decision making on infill drilling locations and refined well design. Higher degree of automation with embedded intelligence are discussed from case generation to hotspot identification. Aspects of model calibration in a producing field environment are addressed.
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Chen, Mengli. "Application Status of Intelligent Investment Consultant Based on Artificial Intelligence in China." In 2022 7th International Conference on Financial Innovation and Economic Development (ICFIED 2022). Paris, France: Atlantis Press, 2022. http://dx.doi.org/10.2991/aebmr.k.220307.127.

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Marković, Suzana, and Matina Gjurašić. "CREATING PERSONALIZED GUEST EXPERIENCE JOURNEY IN LEISURE HOTEL." In Fourth International Scientific Conference ITEMA Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2020. http://dx.doi.org/10.31410/itema.s.p.2020.31.

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With advancements in technology, the use of Virtual Reality (VR) and Artificial Intelligence (AI) in the hospitality industry has become common. New technologies have changed the guests expectations and their journey. Therefore, the purpose of this paper is to provide a comprehensive conceptualization of the personalized guest experience journey in leisure hotel i.e. the way front-line employees creates personalized and pro-active guest experience that the intelligent use of data and technology support. The paper provides systematic literature review of VR and AI as support tool for front-line employees while creating personalized guest experience during each of the five stages of the guest cycle: pre-arrival, arrival, stay, departure, post-stay. This paper is theoretical, so empirical studies are necessary to validate or reject the proposed concept.
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Reports on the topic "Intelligence economica"

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Aghion, Philippe, Benjamin Jones, and Charles Jones. Artificial Intelligence and Economic Growth. Cambridge, MA: National Bureau of Economic Research, October 2017. http://dx.doi.org/10.3386/w23928.

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Agrawal, Ajay, Joshua Gans, and Avi Goldfarb. Economic Policy for Artificial Intelligence. Cambridge, MA: National Bureau of Economic Research, June 2018. http://dx.doi.org/10.3386/w24690.

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Varian, Hal. Artificial Intelligence, Economics, and Industrial Organization. Cambridge, MA: National Bureau of Economic Research, July 2018. http://dx.doi.org/10.3386/w24839.

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Korinek, Anton, and Joseph Stiglitz. Artificial Intelligence, Globalization, and Strategies for Economic Development. Cambridge, MA: National Bureau of Economic Research, February 2021. http://dx.doi.org/10.3386/w28453.

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Murray, Jr, and Clay D. Adding Economic Analysis to Intelligence Preparation of the Battlefield. Fort Belvoir, VA: Defense Technical Information Center, March 2008. http://dx.doi.org/10.21236/ada494837.

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Korinek, Anton. Integrating Ethical Values and Economic Value to Steer Progress in Artificial Intelligence. Cambridge, MA: National Bureau of Economic Research, August 2019. http://dx.doi.org/10.3386/w26130.

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Hwang, Tim, and Emily Weinstein. Decoupling in Strategic Technologies: From Satellites to Artificial Intelligence. Center for Security and Emerging Technology, July 2022. http://dx.doi.org/10.51593/20200085.

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Geopolitical tensions between the United States and China have sparked an ongoing dialogue in Washington about the phenomenon of “decoupling”—the use of public policy tools to separate the multifaceted economic ties that connect the two powers. This issue brief provides a historical lens on the efficacy of one specific aspect of this broader decoupling phenomenon: using export controls and related trade policies to prevent a rival from acquiring the equipment and know-how to catch up to the United States in cutting-edge, strategically important technologies.
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Goode, Kayla, and Heeu Millie Kim. Indonesia’s AI Promise in Perspective. Center for Security and Emerging Technology, August 2021. http://dx.doi.org/10.51593/2021ca001.

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The United States and China are keeping an eye on Indonesia’s artificial intelligence potential given the country’s innovation-driven national strategy and flourishing AI industry. China views Indonesia as an anchor for its economic, digital, and political inroads in Southeast Asia and has invested aggressively in new partnerships. The United States, with robust political and economic relations rooted in shared democratic ideals, has an opportunity to leverage its comparative advantages and tap into Indonesia’s AI potential through high-level agreements.
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Khan, Saif M., Alexander Mann, and Dahlia Peterson. The Semiconductor Supply Chain: Assessing National Competitiveness. Center for Security and Emerging Technology, January 2021. http://dx.doi.org/10.51593/20190016.

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Semiconductors are a key component in fueling scientific progress, promoting economic advancement, and ensuring national security. This issue brief summarizes each component of the semiconductor supply chain and where the United States and its allies possess the greatest leverage. A related policy brief, “Securing Semiconductor Supply Chains,” recommends policy actions to ensure the United States maintains this leverage and uses it to promote the beneficial use of emerging technologies, such as artificial intelligence.
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Murdick, Dewey, James Dunham, and Jennifer Melot. AI Definitions Affect Policymaking. Center for Security and Emerging Technology, June 2020. http://dx.doi.org/10.51593/20200004.

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The task of artificial intelligence policymaking is complex and challenging, made all the more difficult by such a rapidly evolving technology. In order to address the security and economic implications of AI, policymakers must be able to viably define, categorize and assess AI research and technology. In this issue brief, CSET puts forward a functional definition of AI, based on three core principles, that significantly outperforms methods developed over the last decade.
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