Thematische Bibliographien / Artificial intelligence

Auswahl der wissenschaftlichen Literatur zum Thema „Artificial intelligence“

Autor: Grafiati

Veröffentlicht am 4. Juni 2021

Zuletzt aktualisiert am 19. Oktober 2024

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Zeitschriftenartikel zum Thema "Artificial intelligence"

Ahmad, Zubair. „Artificial Intelligence or Augmented Intelligence?“ International Journal of Science and Research (IJSR) 12, Nr. 12 (05.12.2023): 1782–88. http://dx.doi.org/10.21275/sr231212220052.

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Dai, Peng, Mausam und Daniel Weld. „Artificial Intelligence for Artificial Artificial Intelligence“. Proceedings of the AAAI Conference on Artificial Intelligence 25, Nr. 1 (04.08.2011): 1153–60. http://dx.doi.org/10.1609/aaai.v25i1.8096.

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Crowdsourcing platforms such as Amazon Mechanical Turk have become popular for a wide variety of human intelligence tasks; however, quality control continues to be a significant challenge. Recently, we propose TurKontrol, a theoretical model based on POMDPs to optimize iterative, crowd-sourced workflows. However, they neither describe how to learn the model parameters, nor show its effectiveness in a real crowd-sourced setting. Learning is challenging due to the scale of the model and noisy data: there are hundreds of thousands of workers with high-variance abilities. This paper presents an end-to-end system that first learns TurKontrol's POMDP parameters from real Mechanical Turk data, and then applies the model to dynamically optimize live tasks. We validate the model and use it to control a successive-improvement process on Mechanical Turk. By modeling worker accuracy and voting patterns, our system produces significantly superior artifacts compared to those generated through nonadaptive workflows using the same amount of money.

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Kishorekumar, Mr A., Mr E. Ezhilarasan und Mr R. Parthiban. „Intelligent Drone based Personal Assistant using Artificial Intelligence AI“. International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (30.04.2018): 1618–21. http://dx.doi.org/10.31142/ijtsrd11482.

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VASYLKIVSKYI, Mikola, Ganna VARGATYUK und Olga BOLDYREVA. „INTELLIGENT RADIO INTERFACE WITH THE SUPPORT OF ARTIFICIAL INTELLIGENCE“. Herald of Khmelnytskyi National University. Technical sciences 217, Nr. 1 (23.02.2023): 26–32. http://dx.doi.org/10.31891/2307-5732-2023-317-1-26-32.

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The peculiarities of the implementation of the 6G intelligent radio interface infrastructure, which will use an individual configuration for each individual subscriber application and flexible services with lower overhead costs, have been studied. A personalized infrastructure consisting of an AI-enabled intelligent physical layer, an intelligent MAC controller, and an intelligent protocol is considered, followed by a potentially novel AI-based end-to-end (E2E) device. The intelligent controller is investigated, in particular the intelligent functions at the MAC level, which may become key components of the intelligent controller in the future. The joint optimization of these components, which will provide better system performance, is considered. It was determined that instead of using a complex mathematical method of optimization, it is possible to use machine learning, which has less complexity and can adapt to network conditions. A 6G radio interface design based on a combination of model-driven and data-driven artificial intelligence is investigated and is expected to provide customized radio interface optimization from pre-configuration to self-learning. The specifics of configuring the network scheme and transmission parameters at the level of subscriber equipment and services using a personalized radio interface to maximize the individual user experience without compromising the throughput of the system as a whole are determined. Artificial intelligence is considered, which will be a built-in function of the radio interface that creates an intelligent physical layer and is responsible for MAC access control, network management optimization (such as load balancing and power saving), replacing some non-linear or non-convex algorithms in receiver modules or compensation of shortcomings in non-linear models. Built-in intelligence has been studied, which will make the 6G physical layer more advanced and efficient, facilitate the optimization of structural elements of the physical layer and procedural design, including the possible change of the receiver architecture, will help implement new detection and positioning capabilities, which, in turn, will significantly affect the design of radio interface components. The requirements for the 6G network are defined, which provide for the creation of a single network with scanning and communication functions, which must be integrated into a single structure at the stage of radio interface design. The specifics of carefully designing a communication and scanning network that will offer full scanning capabilities and more fully meet all key performance indicators in the communications industry are explored.

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Kambur, Emine. „Emotional Intelligence or Artificial Intelligence?: Emotional Artificial Intelligence“. Florya Chronicles of Political Economy 7, Nr. 2 (2015): 147–68. http://dx.doi.org/10.17932/iau.fcpe.2015.010/fcpe_v07i2004.

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Floridi, Luciano. „Artificial artificial intelligence“. Philosophers' Magazine, Nr. 64 (2014): 22–23. http://dx.doi.org/10.5840/tpm2014647.

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Singhal, Ankur, und Komal Gupta. „Artificial Intelligence: Transforming Ayurveda“. Indian Journal of Ancient Medicine and Yoga 15, Nr. 4 (27.12.2022): 151–58. http://dx.doi.org/10.21088/ijamy.0974.6986.15422.3.

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As we know technology is at its boom in 21st century and it has touched our every aspect of life including The Ayurveda: ‘The science of life’. So for upgrading this ancient and 5000 yrs old system of medicine there must be full fledged inclusion of technology that allows computers and machines to function in an intelligent manner. This change with the help of technology is called as Artificial intelligence. It is the simulation of human intelligence processes by machines, especially computer systems. By adopting and adapting this digital world in the field of Ayurveda we can create a revolutionary change. The development of artificial intelligence (AI) in the medical field has been growing rapidly. The majority of the studies utilized AI models to predict certain patterns and find reliable computerized models to assist physicians. The objective of this article is to categorize and seek the current and further usage of AI in Ayurveda. A systematic scoping review has been conducted. The entire database, articles, and news have been used to find studies regarding AI and Ayurveda. A broad-range search strategy was applied to locate all relevant studies. Although the results from this review have shown the potential use of AI models in Ayurveda, future research ought to focus on verifying and validating the models by performing a large-scale clinical trial to better promote AI in Ayurveda in the era of digital health.

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Senthil Kumar, R. „Artificial Intelligence in Education“. International Journal of Science and Research (IJSR) 12, Nr. 8 (05.08.2023): 424–25. http://dx.doi.org/10.21275/sr23802113939.

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Das, Subhashis. „Artificial Intelligence in Diagnosis“. JOURNAL OF CLINICAL AND BIOMEDICAL SCIENCES 13, Nr. 4 (28.12.2023): 100–101. http://dx.doi.org/10.58739/jcbs/v13i4.editorial.

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Youm, Jung-seop. „Commercialization of Artificial Intelligence and Artificial Intelligence“. Journal of Korean Association for Buddhist Studies 85 (31.03.2018): 65–94. http://dx.doi.org/10.22255/jkabs.85.3.

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Dissertationen zum Thema "Artificial intelligence"

Shapovalenko, A. „Artificial intelligence“. Thesis, Сумський державний університет, 2013. http://essuir.sumdu.edu.ua/handle/123456789/33830.

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Technology of artificial intelligence will soon be able to help ensure the safety of your family, protecting it from the threat of international and domestic burglaries. In the USA the Department of Security also implements special software in its monitoring system, which scans phone calls and other messages. These programs can rapidly process large volumes of data and are even able to distinguish between a normal conversation from a potential threat. The old security system simply relied on sensors that reacted to a movement. Modern systems are directly related to artificial intelligence, which helps detect the presence of a stranger in the house. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/33830

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Башлак, Ірина Анатоліївна, Ирина Анатольевна Башлак, Iryna Anatoliivna Bashlak und I. Kurinnyy. „Artificial intelligence“. Thesis, Видавництво СумДУ, 2011. http://essuir.sumdu.edu.ua/handle/123456789/13517.

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Дядечко, Алла Миколаївна, Алла Николаевна Дядечко, Alla Mykolaivna Diadechko und M. Chernyakova. „Artificial intelligence“. Thesis, Вид-во СумДУ, 2009. http://essuir.sumdu.edu.ua/handle/123456789/16890.

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Bekeniova. „ARTIFICIAL INTELLIGENCE“. Thesis, Київ 2018, 2018. http://er.nau.edu.ua/handle/NAU/33666.

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Yakushchenko, I. V., und L. M. Chuchilina. „The artificial intelligence“. Thesis, Видавництво СумДУ, 2008. http://essuir.sumdu.edu.ua/handle/123456789/16003.

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Malmborn, Albin, und Linus Sjöberg. „Implementing Artificial intelligence“. Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20942.

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Den här uppsatsen har som syfte att undersöka huruvida det är möjligt att ta fram riktlinjer för vad privata verksamheter behöver ta i beaktande inför en planerad implementering av artificiell intelligens. Studien kommer belysa faktorer som hjälper företag att förstå vad som krävs inför en sådan omställning, men även de hinder som måste övervinnas för att lyckas. Studiens datainsamling har genomförts med två metoder, först en litteraturstudie sedan kvalitativa, semistrukturerade forskningsintervjuer. Dessa har sedan analyserats med vars en analysmetod som kompletterar varandra och därefter tolkats för att se mönster som kan besvara studiens frågeställning: Vad måste svenska organisationer inom den privata sektorn beakta för att lyckas implementera Artificiell intelligens i sin verksamhet? Resultatet har tagits fram genom att jämföra vetenskapliga texter och intervjuer, för att undersöka om den akademiska och praktiska synen skiljer sig åt. Studien resulterade i åtta faktorer som företag borde ta i beaktning inför en implementering av artificiell intelligens. Författarna hoppas att med den här studien kunna främja svensk utveckling inom artificiell intelligens och på så vis generera ett större nationellt mervärde och en starkare konkurrenskraft internationell.
The purpose of this paper is to investigate the possibilities to develop guidelines for businesses to take into account before an implementation of artificial intelligence. The study will highlight different factors that will help companies to understand what is required to make this kind of digital transition, it will also highlight the obstacles companies have to overcome in order to succeed. The data collection was conducted in two parts, first a literature study and then qualitative, semi-structured interviews. These were analyzed with their own analysis which supplement each other, and interpreted to identify patterns that could answer the study's main question: What must Swedish organizations in the private sector consider in order to successfully implement Artificial Intelligence in their operations?The result of the study has been produced by comparing scientific texts and interviews, to investigate whether the academic and practical views differ. The study resulted in eight factors that companies should consider before implementing artificial intelligence. The authors hope that the study will promote Swedish development in artificial intelligence and thus generate a greater national value and international competitiveness.

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Suliman, Hussam. „Artificial intelligence for cognitive agents and intelligent environments“. Thesis, University of Wolverhampton, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.440235.

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The objective ofthis research is to create intelligent and cognitive agents that resemble animal or human characters and provide an architecture in which to do so. This requires computational models and the formulation of ontology for agents and their environments that is well structured for software and efficient computer simulation. This research concludes by presenting GOY A - an integrated cognitive agent architecture for the specification of cognitive agents simulated in virtual environments. Cognitive features modelled for GOYA include sensory and spatial perception, attention, and human memory are among the most important. The cognitive systems modelled aim to be practical, plausible, and contribute to produce believable and intelligent agents in virtual environments such as computer games.

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Tennenbaum, Christopher D. „Intentionality in Artificial Intelligence“. Scholarship @ Claremont, 2011. http://scholarship.claremont.edu/cmc_theses/269.

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This paper addresses the question of whether Artificial Intelligence can have intentionality. This question is part of a larger discussion of whether or not Artificial Intelligence can ever be 'conscious'. Ultimately, I come to the conclusion that while we can see how intentionality can be transferred, it has yet to be shown that intentionality can be created within Artificial Intelligence. To begin, I define intentionality. I then discuss the Turing Test (Alan Turing, "Computing Machinery and Intelligence" and the Chinese Room (John R. Searle, "Minds, Brains, and Programs"). I conclude by expressing my own opinions and where I believe Artificial Intelligence will be in the near future.

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Chaus, Oleksandr. „Artificial intelligence and robotics“. Thesis, Дніпровський національний університет залізничного транспорту імені академіка В. Лазаряна, 2019. https://er.knutd.edu.ua/handle/123456789/14698.

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The work deals with artificial intelligence as one of the most exciting field in robotics. AI has penetrated almost every industry, from construction, transport and manufacturing to business intelligence, education and healthcare.
Робота стосується штучного інтелекту як однієї з найбільш захоплюючих галузей робототехніки. Штучний інтелект проник майже в усі галузі, від будівництва, транспорту та виробництва до бізнес-розвідки, освіти та охорони здоров'я.
Работа посвящена искусственному интеллекту как одной из самых захватывающих областей робототехники. Искусственный интеллект проник почти во все отрасли, от строительства, транспорта и производства до бизнес-аналитики, образования и здравоохранения.

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Matorina. „ARTIFICIAL INTELLIGENCE IN MEDICINE“. Thesis, Київ 2018, 2018. http://er.nau.edu.ua/handle/NAU/33813.

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Bücher zum Thema "Artificial intelligence"

A, Boden Margaret, Hrsg. Artificial intelligence. San Diego: Academic Press, 1996.

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Rich, Elaine. Artificial intelligence. 2. Aufl. New York: McGraw-Hill, 1991.

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Winston, Patrick Henry. Artificial intelligence. 3. Aufl. Reading, MA: Addison-Wesley, 1993.

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Berlatsky, Noah. Artificial intelligence. Detroit: Greenhaven Press, 2011.

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Harris, Michael C. Artificial intelligence. Tarrytown, N.Y: Marshall Cavendish Benchmark, 2011.

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Karam, P. Andrew. Artificial intelligence. New York: Chelsea House, 2011.

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Thomas, Peggy. Artificial intelligence. Farmington Hills, Mich: Lucent Books, 2005.

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Bhargava, Cherry, und Pardeep Kumar Sharma. Artificial Intelligence. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003095910.

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Aggarwal, Charu C. Artificial Intelligence. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72357-6.

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Kovalev, Sergei M., Sergei O. Kuznetsov und Aleksandr I. Panov, Hrsg. Artificial Intelligence. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86855-0.

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Buchteile zum Thema "Artificial intelligence"

Paaß, Gerhard, und Dirk Hecker. „What Is Intelligent About Artificial Intelligence?“ In Artificial Intelligence, 1–13. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-50605-5_1.

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Santaella, Lucia. „Is Artificial Intelligence Intelligent?“ In Challenges of the Technological Mind, 9–28. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-55333-2_2.

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Chen, Robert H., und Chelsea Chen. „Intelligence“. In Artificial Intelligence, 278–85. 2. Aufl. Boca Raton: Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003463542-32.

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Lexcellent, Christian. „Artificial Intelligence“. In Artificial Intelligence versus Human Intelligence, 5–21. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21445-6_2.

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Engelberger, Joseph F. „Artificial Intelligence“. In Robotics in Service, 99–123. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-1099-7_5.

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Monostori, Laszlo. „Artificial Intelligence“. In CIRP Encyclopedia of Production Engineering, 1–4. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-642-35950-7_16703-4.

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Dreyfus, Hubert. „Artificial Intelligence“. In Contributions to Phenomenology, 34–39. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-017-5344-9_7.

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Birrer, Frans A. J. „Artificial Intelligence“. In Emerging Technologies and Military Doctrine, 44–52. London: Palgrave Macmillan UK, 1986. http://dx.doi.org/10.1007/978-1-349-08505-7_4.

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Corsini, Piergiulio, und Violeta Leoreanu. „Artificial Intelligence“. In Applications of Hyperstructure Theory, 275–82. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4757-3714-1_11.

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Spanke, Matthias. „Artificial Intelligence“. In Retail Isn't Dead, 55–62. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36650-6_7.

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Konferenzberichte zum Thema "Artificial intelligence"

Ahmad, Adang Suwandi, und Arwin Datumaya Wahyudi Sumari. „Cognitive artificial intelligence: Brain-inspired intelligent computation in artificial intelligence“. In 2017 Computing Conference. IEEE, 2017. http://dx.doi.org/10.1109/sai.2017.8252094.

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Chan, Lok, Kenzie Doyle, Duncan McElfresh, Vincent Conitzer, John P. Dickerson, Jana Schaich Borg und Walter Sinnott-Armstrong. „Artificial Artificial Intelligence“. In AIES '20: AAAI/ACM Conference on AI, Ethics, and Society. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3375627.3375870.

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Shweta A.S. „Intelligent refrigerator using ARTIFICIAL INTELLIGENCE“. In 2017 11th International Conference on Intelligent Systems and Control (ISCO). IEEE, 2017. http://dx.doi.org/10.1109/isco.2017.7856036.

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Monteiro, Juarez, Roger Granada, Rafael C. Pinto und 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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Huang Ling-fang. „Artificial Intelligence“. In 2nd International Conference on Computer and Automation Engineering (ICCAE 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccae.2010.5451578.

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„Artificial intelligence“. In 2016 19th International Multi-Topic Conference (INMIC). IEEE, 2016. http://dx.doi.org/10.1109/inmic.2016.7840071.

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Prosper, Harrison B. „Artificial intelligence“. In ADVANCED COMPUTING AND ANALYSIS TECHNIQUES IN PHYSICS RESEARCH: VII International Workshop; ACAT 2000. AIP, 2001. http://dx.doi.org/10.1063/1.1405342.

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Suleimenov, Ibragim E., Yelizaveta S. Vitulyova, Akhat S. Bakirov und Oleg A. Gabrielyan. „Artificial Intelligence“. In ICCTA '20: 2020 6th International Conference on Computer and Technology Applications. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3397125.3397141.

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Susar, Deniz, und Vincenzo Aquaro. „Artificial Intelligence“. In ICEGOV2019: 12th International Conference on Theory and Practice of Electronic Governance. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3326365.3326420.

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„Artificial intelligence“. In Education (ICCSE). IEEE, 2009. http://dx.doi.org/10.1109/iccse.2009.5228556.

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Berichte der Organisationen zum Thema "Artificial intelligence"

Kaiser, Gail E., und Peter H. Feller. Intelligent Assistance without Artificial Intelligence. Fort Belvoir, VA: Defense Technical Information Center, September 1986. http://dx.doi.org/10.21236/ada182094.

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anis, sehab. Artificial Intelligence. ResearchHub Technologies, Inc., August 2023. http://dx.doi.org/10.55277/researchhub.agwfnyrw.

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Roberts, Kamie. Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile. Gaithersburg, MD: National Institute of Standards and Technology, 2024. http://dx.doi.org/10.6028/nist.ai.600-1.

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Novak, Jr, Simmons Gordon S., Porter Robert F., Kumar Bruce W., Causey Vipin und Robert L. Artificial Intelligence Project. Fort Belvoir, VA: Defense Technical Information Center, Januar 1990. http://dx.doi.org/10.21236/ada230793.

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Guerreiro, Joao, Sergio Rebelo und Pedro Teles. Regulating Artificial Intelligence. Cambridge, MA: National Bureau of Economic Research, November 2023. http://dx.doi.org/10.3386/w31921.

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Cwik, Cynthia, Paul Grimm, Maura Grossman und Toby Walsh. Artificial Intelligence and the Courts: Artificial Intelligence Trustworthiness, and Litigation. American Association for the Advancement of Science, September 2022. http://dx.doi.org/10.1126/aaas.adf0786.

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Karanicolas, Michael, und Mallory Knodel. Artificial Intelligence and the Courts: Artificial Intelligence and Bias - An Evaluation. American Association for the Advancement of Science, September 2022. http://dx.doi.org/10.1126/aaas.adf0788.

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Firth-Butterfield, Kay, und Karen Silverman. Artificial Intelligence and the Courts: Artificial Intelligence - Foundational Issues and Glossary. American Association for the Advancement of Science, September 2022. http://dx.doi.org/10.1126/aaas.adf0782.

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Lesser, Victor R., Paul Cohen und Wendy Lehnert. Center for Artificial Intelligence. Fort Belvoir, VA: Defense Technical Information Center, März 1992. http://dx.doi.org/10.21236/ada282272.

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Boros, E., P. L. Hammer und F. S. Roberts. Optimization and Artificial Intelligence. Fort Belvoir, VA: Defense Technical Information Center, Juli 1996. http://dx.doi.org/10.21236/ada311365.

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