Relevant bibliographies by topics / Cognitive Planning

Academic literature on the topic 'Cognitive Planning'

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Published: 22 June 2023

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Journal articles on the topic "Cognitive Planning"

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Audi, Robert. "Intention, cognitive commitment, and planning." Synthese 86, no. 3 (March 1991): 361–78. http://dx.doi.org/10.1007/bf00485266.

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Shi, Xiaowei. "Cognitive Responses in Advice Planning." Journal of Language and Social Psychology 32, no. 3 (December 26, 2012): 311–34. http://dx.doi.org/10.1177/0261927x12470112.

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Hanssen, Gro Sandkjaer, and Inger-Lise Saglie. "Cognitive Closure in Urban Planning." Planning Theory & Practice 11, no. 4 (December 2010): 499–521. http://dx.doi.org/10.1080/14649357.2010.525373.

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Fernandez Davila, Jorge Luis, Dominique Longin, Emiliano Lorini, and Frédéric Maris. "A Simple Framework for Cognitive Planning." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 7 (May 18, 2021): 6331–39. http://dx.doi.org/10.1609/aaai.v35i7.16786.

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We present a novel approach to cognitive planning, i.e., an agent's planning aimed at changing the cognitive attitudes of another agent including her beliefs and intentions. We encode the cognitive planning problem in an epistemic logic with a semantics exploiting belief bases. We study a NP-fragment of the logic whose satisfiability problem is reduced to SAT. We provide complexity results for the cognitive planning problem. Moreover, we illustrate its potential for applications in human-machine interaction in which an artificial agent is expected to interact with a human agent through dialogue and to persuade the human to behave in a certain way.
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Chown, Eric, Lashon B. Booker, and Stephen Kaplan. "Perception, action planning, and cognitive maps." Behavioral and Brain Sciences 24, no. 5 (October 2001): 882. http://dx.doi.org/10.1017/s0140525x01240102.

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Perceptual learning mechanisms derived from Hebb's theory of cell assemblies can generate prototypic representations capable of extending the representational power of TEC (Theory of Event Coding) event codes. The extended capability includes categorization that accommodates “family resemblances” and problem solving that uses cognitive maps.
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Butcher, Stephen. "Embodied cognitive geographies." Progress in Human Geography 36, no. 1 (July 13, 2011): 90–110. http://dx.doi.org/10.1177/0309132511412997.

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Recent articles in this journal advocated a cognitive poststructuralism as progress for human geography. This research has two flaws. The first is in the epistemological differences between poststructuralism and cognitive semantics, the field from which the authors were informed on embodied cognition. The second problem arises from the contradictions a cognitive poststructuralism would have to other embodied geographies espousing non-representational theory (NRT). This article details and then resolves these two problems in several discussions and relevant examples involving cognitive semantics, embodied realism, embodiment. The product is a non-contradictory poststructural cognitive semantic perspective that provides a possible future path for NRT.
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Oettinger, A., J. H. Smith-Spark, F. D. Castillo, V. E. L. Monaghan, J. Fox, and D. W. Glasspool. "Supporting Medical Planning by Mitigating Cognitive Load." Methods of Information in Medicine 46, no. 06 (2007): 636–40. http://dx.doi.org/10.3414/me0441.

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Summary Objectives : Developing a care plan for a patient is a complex task, requiring an understanding of interactions and dependencies between procedures and of their possible outcomes for an individual patient. Decision support for planning has broader requirements than are typically considered in medical informatics applications. We consider the appropriate design of software to assist medical planning. Methods : The likely cognitive loads imposed by planning tasks were assessed with a view to directly supporting these via software. Results : Five types of cognitive load are likely to be important. A planning support system, REACT, was designed to ameliorate these cognitive loads by providing targeted dynamic feedback during planning. An initial evaluation study in genetic counselling indicates that the approach is successful in that role. Conclusions : The approach provides the basis of a general aid for visualizing, customizing and evaluating care plans.
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Ulengin, F., and I. Topcu. "Cognitive Map: KBDSS Integration in Transportation Planning." Journal of the Operational Research Society 48, no. 11 (November 1997): 1065. http://dx.doi.org/10.2307/3010302.

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Ratwani, R., L. Lartigue, L. Chung, D. Pepple, K. Todd, J. Zanol, E. Freedy, and D. Horvath. "Improving Cognitive Effectiveness in Counterinsurgency Operational Planning." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 55, no. 1 (September 1, 2011): 419–23. http://dx.doi.org/10.1177/1071181311551086.

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Biedenweg, Kelly, David Trimbach, Jackie Delie, and Bessie Schwarz. "Using cognitive mapping to understand conservation planning." Conservation Biology 34, no. 6 (November 27, 2020): 1364–72. http://dx.doi.org/10.1111/cobi.13627.

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Dissertations / Theses on the topic "Cognitive Planning"

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Dean, Janet Blevins. "Cognitive dysorganization, prospective memory, and planning." Columbus, Ohio : Ohio State University, 2003. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1059929529.

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Thesis (Ph. D.)--Ohio State University, 2003.
Title from first page of PDF file. Document formatted into pages; contains xiv, 146 p.; also includes graphics. Includes abstract and vita. Advisor: Herbert Mirels, Dept. of Psychology. Includes bibliographical references (p. 106-118).
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Morales, Alcaide Fernando. "Towards cognitive in-operation network planning." Doctoral thesis, Universitat Politècnica de Catalunya, 2018. http://hdl.handle.net/10803/620635.

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Next-generation internet services such as live TV and video on demand require high bandwidth and ultra-low latency. The ever-increasing volume, dynamicity and stringent requirements of these services’ demands are generating new challenges to nowadays telecom networks. To decrease expenses, service-layer content providers are delivering their content near the end users, thus allowing a low latency and tailored content delivery. As a consequence of this, unseen metro and even core traffic dynamicity is arising with changes in the volume and direction of the traffic along the day. A tremendous effort to efficiently manage networks is currently ongoing towards the realisation of 5G networks. This translates in looking for network architectures supporting dynamic resource allocation, fulfilling strict service requirements and minimising the total cost of ownership (TCO). In this regard, in-operation network planning was recently proven to successfully support various network reconfiguration use cases in prospective scenarios. Nevertheless, additional research to extend in-operation planning capabilities from typical reactive optimization schemes to proactive and predictive schemes based on the analysis of network monitoring data is required. A hot topic raising increasing attention is cognitive networking, where an elevated knowledge about the network could be obtained as a result of introducing data analytics in the telecom operator’s infrastructure. By using predictive knowledge about the network traffic, in-operation network planning mechanisms could be enhanced to efficiently adapt the network by means of future traffic prediction, thus achieving cognitive in-operation network planning. In this thesis, we focus on studying mechanisms to enable cognitive in-operation network planning in core networks. In particular, we focus on dynamically reconfiguring virtual network topologies (VNT) at the MPLS layer, covering a number of detailed objectives. First, we start studying mechanisms to allow network traffic flow modelling, from monitoring and data transformation to the estimation of predictive traffic model based on this data. By means of these traffic models, then we tackle a cognitive approach to periodically adapt the core VNT to current and future traffic, using predicted traffic matrices based on origin-destination (OD) predictive models. This optimization approach, named VENTURE, is efficiently solved using dedicated heuristic algorithms and its feasibility is demonstrated in an experimental in-operation network planning environment. Finally, we extend VENTURE to consider core flows dynamicity as a result of metro flows re-routing, which represents a meaningful dynamic traffic scenario. This extension, which entails enhancements to coordinate metro and core network controllers with the aim of allowing fast adaption of core OD traffic models, is evaluated and validated in terms of traffic models accuracy and experimental feasibility.
Els serveis d’internet de nova generació tals com la televisió en viu o el vídeo sota demanda requereixen d’un gran ample de banda i d’ultra-baixa latència. L’increment continu del volum, dinamicitat i requeriments d’aquests serveis està generant nous reptes pels teleoperadors de xarxa. Per reduir costs, els proveïdors de contingut estan disposant aquests més a prop dels usuaris finals, aconseguint així una entrega de contingut feta a mida. Conseqüentment, estem presenciant una dinamicitat mai vista en el tràfic de xarxes de metro amb canvis en la direcció i el volum del tràfic al llarg del dia. Actualment, s’està duent a terme un gran esforç cap a la realització de xarxes 5G. Aquest esforç es tradueix en cercar noves arquitectures de xarxa que suportin l’assignació dinàmica de recursos, complint requeriments de servei estrictes i minimitzant el cost total de la propietat. En aquest sentit, recentment s’ha demostrat com l’aplicació de “in-operation network planning” permet exitosament suportar diversos casos d’ús de reconfiguració de xarxa en escenaris prospectius. No obstant, és necessari dur a terme més recerca per tal d’estendre “in-operation network planning” des d’un esquema reactiu d’optimització cap a un nou esquema proactiu basat en l’analítica de dades provinents del monitoritzat de la xarxa. El concepte de xarxes cognitives es també troba al centre d’atenció, on un elevat coneixement de la xarxa s’obtindria com a resultat d’introduir analítica de dades en la infraestructura del teleoperador. Mitjançant un coneixement predictiu sobre el tràfic de xarxa, els mecanismes de in-operation network planning es podrien millorar per adaptar la xarxa eficientment basant-se en predicció de tràfic, assolint així el que anomenem com a “cognitive in-operation network Planning”. En aquesta tesi ens centrem en l’estudi de mecanismes que permetin establir “el cognitive in-operation network Planning” en xarxes de core. En particular, ens centrem en reconfigurar dinàmicament topologies de xarxa virtual (VNT) a la capa MPLS, cobrint una sèrie d’objectius detallats. Primer comencem estudiant mecanismes pel modelat de fluxos de tràfic de xarxa, des del seu monitoritzat i transformació fins a l’estimació de models predictius de tràfic. Posteriorment, i mitjançant aquests models predictius, tractem un esquema cognitiu per adaptar periòdicament la VNT utilitzant matrius de tràfic basades en predicció de parells origen-destí (OD). Aquesta optimització, anomenada VENTURE, és resolta eficientment fent servir heurístiques dedicades i és posteriorment avaluada sota escenaris de tràfic de xarxa dinàmics. A continuació, estenem VENTURE considerant la dinamicitat dels fluxos de tràfic de xarxes de metro, el qual representa un escenari rellevant de dinamicitat de tràfic. Aquesta extensió involucra millores per coordinar els operadors de metro i core amb l’objectiu d’aconseguir una ràpida adaptació de models de tràfic OD. Finalment, proposem dues arquitectures de xarxa necessàries per aplicar els mecanismes anteriors en entorns experimentals, emprant protocols estat-de-l’art com són OpenFlow i IPFIX. La metodologia emprada per avaluar el treball anterior consisteix en una primera avaluació numèrica fent servir un simulador de xarxes íntegrament dissenyat i desenvolupat per a aquesta tesi. Després d’aquesta validació basada en simulació, la factibilitat experimental de les arquitectures de xarxa proposades és avaluada en un entorn de proves distribuït.
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Combrink, Aneri. "Cognitive development in planning theory / A. Combrink." Thesis, North-West University, 2010. http://hdl.handle.net/10394/4564.

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This study reconsiders cognitive development in planning theory, in order to expose the underlying cognitive framework through which academics communicate in planning literature. A cognitive framework develops over time and through experience within the minds of theorists and readers of planning theory. This framework forms the basis for orientation and interpretation of planning literature by the reader. This is illustrated by describing the various perspectives within planning theory and the connotations they have with different levels of theorising. The different perspectives involve the nature thereof, the history and its political conviction, underpinned by ideology. The different levels of theorising involve a framework which descends from thinking through to implementation and consists of a philosophical–, meta–theoretical– and a technical (tools) level. The problem is that the concept of a developed cognitive framework is rarely discussed in a constructive manner in planning literature. This proves to be the cause of confusion for students and other readers whom have not yet developed their own cognitive framework. An incomplete framework causes misconceptions from existing literature for example: the purpose of Faludi's book Planning Theory (1973). A discussion of this framework by academics could explain unresolved debates such as the substance and procedural debate and the normative theory versus the positive theory debate. The application of this framework proves that the political conflict in planning theory literature such as the more rational perspectives versus the more socio–political perspectives could be more constructive. Therefore this study argues that a cognitive framework could be determined by the general perspectives in planning literature together with different levels of theorising, and should become a constructive part of planning theory (debate) and education. Furthermore this study argues that if all perspectives are allowed to develop fully (non–competitive and attaining all different levels of theorising), connotations could be made on a meta–theoretical level to provide a proper cross range description of planning and provide a proper basis for comparison and would lead to more relevant and constructive debate(s).
Thesis (M.Art. et Scien. (Town and Regional Planning))--North-West University, Potchefstroom Campus, 2011.
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Tosello, Elisa. "Cognitive Task Planning for Smart Industrial Robots." Doctoral thesis, Università degli studi di Padova, 2016. http://hdl.handle.net/11577/3421918.

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This research work presents a novel Cognitive Task Planning framework for Smart Industrial Robots. The framework makes an industrial mobile manipulator robot Cognitive by applying Semantic Web Technologies. It also introduces a novel Navigation Among Movable Obstacles algorithm for robots navigating and manipulating inside a firm. The objective of Industrie 4.0 is the creation of Smart Factories: modular firms provided with cyber-physical systems able to strong customize products under the condition of highly flexible mass-production. Such systems should real-time communicate and cooperate with each other and with humans via the Internet of Things. They should intelligently adapt to the changing surroundings and autonomously navigate inside a firm while moving obstacles that occlude free paths, even if seen for the first time. At the end, in order to accomplish all these tasks while being efficient, they should learn from their actions and from that of other agents. Most of existing industrial mobile robots navigate along pre-generated trajectories. They follow ectrified wires embedded in the ground or lines painted on th efloor. When there is no expectation of environment changes and cycle times are critical, this planning is functional. When workspaces and tasks change frequently, it is better to plan dynamically: robots should autonomously navigate without relying on modifications of their environments. Consider the human behavior: humans reason about the environment and consider the possibility of moving obstacles if a certain goal cannot be reached or if moving objects may significantly shorten the path to it. This problem is named Navigation Among Movable Obstacles and is mostly known in rescue robotics. This work transposes the problem on an industrial scenario and tries to deal with its two challenges: the high dimensionality of the state space and the treatment of uncertainty. The proposed NAMO algorithm aims to focus exploration on less explored areas. For this reason it extends the Kinodynamic Motion Planning by Interior-Exterior Cell Exploration algorithm. The extension does not impose obstacles avoidance: it assigns an importance to each cell by combining the efforts necessary to reach it and that needed to free it from obstacles. The obtained algorithm is scalable because of its independence from the size of the map and from the number, shape, and pose of obstacles. It does not impose restrictions on actions to be performed: the robot can both push and grasp every object. Currently, the algorithm assumes full world knowledge but the environment is reconfigurable and the algorithm can be easily extended in order to solve NAMO problems in unknown environments. The algorithm handles sensor feedbacks and corrects uncertainties. Usually Robotics separates Motion Planning and Manipulation problems. NAMO forces their combined processing by introducing the need of manipulating multiple objects, often unknown, while navigating. Adopting standard precomputed grasps is not sufficient to deal with the big amount of existing different objects. A Semantic Knowledge Framework is proposed in support of the proposed algorithm by giving robots the ability to learn to manipulate objects and disseminate the information gained during the fulfillment of tasks. The Framework is composed by an Ontology and an Engine. The Ontology extends the IEEE Standard Ontologies for Robotics and Automation and contains descriptions of learned manipulation tasks and detected objects. It is accessible from any robot connected to the Cloud. It can be considered a data store for the efficient and reliable execution of repetitive tasks; and a Web-based repository for the exchange of information between robots and for the speed up of the learning phase. No other manipulation ontology exists respecting the IEEE Standard and, regardless the standard, the proposed ontology differs from the existing ones because of the type of features saved and the efficient way in which they can be accessed: through a super fast Cascade Hashing algorithm. The Engine lets compute and store the manipulation actions when not present in the Ontology. It is based on Reinforcement Learning techniques that avoid massive trainings on large-scale databases and favors human-robot interactions. The overall system is flexible and easily adaptable to different robots operating in different industrial environments. It is characterized by a modular structure where each software block is completely reusable. Every block is based on the open-source Robot Operating System. Not all industrial robot controllers are designed to be ROS-compliant. This thesis presents the method adopted during this research in order to Open Industrial Robot Controllers and create a ROS-Industrial interface for them.
Questa ricerca presenta una nuova struttura di Pianificazione Cognitiva delle Attività ideata per Robot Industriali Intelligenti. La struttura rende Cognitivo un manipolatore industriale mobile applicando le tecnologie offerte dal Web Semantico. Viene inoltre introdotto un nuovo algoritmo di Navigazione tra Oggetti Removibili per robot che navigano e manipolano all’interno di una fabbrica. L’obiettivo di Industria 4.0 è quello di creare Fabbriche Intelligenti: fabbriche modulari dotate di sistemi cyber-fisici in grado di customizzare i prodotti pur mantenendo una produzione di massa altamente flessibile. Tali sistemi devono essere in grado di comunicare e cooperare tra loro e con gli agenti umani in tempo reale, attraverso l’Internet delle Cose. Devono sapersi autonomamente ed intelligentemente adattare ai costanti cambiamenti dell’ambiente che li circonda. Devono saper navigare autonomamente all’interno della fabbrica, anche spostando ostacoli che occludono percorsi liberi, ed essere in grado di manipolare questi oggetti anche se visti per la prima volta. Devono essere in grado di imparare dalle loro azioni e da quelle eseguite da altri agenti. La maggior parte dei robot industriali mobili naviga secondo traiettorie generate a priori. Seguono filielettrificatiincorporatinelterrenoolineedipintesulpavimento. Pianificareapriorièfunzionale se l’ambiente è immutevole e i cicli produttivi sono caratterizzati da criticità temporali. E’ preferibile adottare una pianificazione dinamica se, invece, l’area di lavoro ed i compiti assegnati cambiano frequentemente: i robot devono saper navigare autonomamente senza tener conto dei cambiamenti circostanti. Si consideri il comportamento umano: l’uomo ragiona sulla possibilità di spostare ostacolise unaposizione obiettivo nonè raggiungibileose talespostamento puòaccorciare la traiettoria da percorrere. Questo problema viene detto Navigazione tra Oggetti Removibili ed è noto alla robotica di soccorso. Questo lavoro traspone il problema in uno scenario industriale e prova ad affrontare i suoi due obiettivi principali: l’elevata dimensione dello spazio di ricerca ed il trattamento dell’incertezza. L’algoritmo proposto vuole dare priorità di esplorazione alle aree meno esplorate, per questo estende l’algoritmo noto come Kinodynamic Motion Planning by Interior-Exterior Cell Exploration. L’estensione non impone l’elusione degli ostacoli. Assegna ad ogni cella un’importanza che combina lo sforzo necessario per raggiungerla con quello necessario per liberarla da eventuali ostacoli. L’algoritmo risultante è scalabile grazie alla sua indipendenza dalla dimensione della mappa e dal numero, forma e posizione degli ostacoli. Non impone restrizioni sulle azioni da eseguire: ogni oggetto può venir spinto o afferrato. Allo stato attuale, l’algoritmo assume una completa conoscenza del mondo circonstante. L’ambiente è però riconfigurabile di modo che l’algoritmo possa venir facilmente esteso alla risoluzione di problemi di Navigazione tra Oggetti Removibili in ambienti ignoti. L’algoritmo gestisce i feedback dati dai sensori per correggere le incertezze. Solitamente la Robotica separa la risoluzione dei problemi di pianificazione del movimento da quelli di manipolazione. La Navigazione tra Ostacoli Removibili forza il loro trattamento combinato introducendo la necessità di manipolare oggetti diversi, spesso ignoti, durante la navigazione. Adottare prese pre calcolate non fa fronte alla grande quantità e diversità di oggetti esistenti. Questa tesi propone un Framework di Conoscenza Semantica a supporto dell’algoritmo sopra esposto. Essodàairobotlacapacitàdiimparareamanipolareoggettiedisseminareleinformazioni acquisite durante il compimento dei compiti assegnati. Il Framework si compone di un’Ontologia e di un Engine. L’Ontologia estende lo Standard IEEE formulato per Ontologie per la Robotica e l’Automazione andando a definire le manipolazioni apprese e gli oggetti rilevati. È accessibile a qualsiasi robot connesso al Cloud. Può venir considerato I) una raccolta di dati per l’esecuzione efficiente ed affidabile di azioni ripetute; II) un archivio Web per lo scambio di informazioni tra robot e la velocizzazione della fase di apprendimento. Ad ora, non esistono altre ontologie sulla manipolazione che rispettino lo Standard IEEE. Indipendentemente dallo standard, l’Ontologia propostadifferiscedaquelleesistentiperiltipodiinformazionisalvateeperilmodoefficienteincui un agente può accedere a queste informazioni: attraverso un algoritmo di Cascade Hashing molto veloce. L’Engine consente il calcolo e il salvataggio delle manipolazioni non ancora in Ontologia. Si basa su tecniche di Reinforcement Learning che evitano il training massivo su basi di dati a larga scala, favorendo l’interazione uomo-robot. Infatti, viene data ai robot la possibilità di imparare dagli umani attraverso un framework di Apprendimento Robotico da Dimostrazioni. Il sistema finale è flessibile ed adattabile a robot diversi operanti in diversi ambienti industriali. È caratterizzato da una struttura modulare in cui ogni blocco è completamente riutilizzabile. Ogni blocco si basa sul sistema open-source denominato Robot Operating System. Non tutti i controllori industriali sono disegnati per essere compatibili con questa piattaforma. Viene quindi presentato il metodo che è stato adottato per aprire i controllori dei robot industriali e crearne un’interfaccia ROS.
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Nitschke, Kai [Verfasser], Christoph [Akademischer Betreuer] Kaller, and Markus [Akademischer Betreuer] Heinrichs. "The neural and cognitive foundations of human planning." Freiburg : Universität, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:25-freidok-132951.

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Nitschke, Kai Verfasser], Christoph [Akademischer Betreuer] [Kaller, and Markus [Akademischer Betreuer] Heinrichs. "The neural and cognitive foundations of human planning." Freiburg : Universität, 2017. http://d-nb.info/1143154479/34.

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Timmer, Peter Robin. "Expression of operator planning horizons : a cognitive engineering approach." Thesis, University College London (University of London), 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.325012.

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Donnici, Margherita. "Weekend in Rome: A Cognitive Training Exercise based on Planning." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/16198/.

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Negli ultimi anni è cresciuto l'interesse per l'utilizzo dell'informatica nell'ambito della riabilitazione cognitiva, fino ad ora eseguita tramite sessioni condotte in ospedale dove i pazienti svolgono esercizi con carta e penna, supervisionati da un operatore. Di conseguenza sono nati diversi software riabilitativi computerizzati, in cui i tradizionali esercizi sono stati trasposti in versione elettronica. Il gruppo di ricerca del Prof. Gaspari del DISI in collaborazione con l'ospedale Bellaria di Bologna, per ovviare alla mancanza di software riabilitativi specifici per il trattamento della sclerosi multipla, ha realizzato la piattaforma MS-rehab, un sistema avanzato per le strutture sanitarie che fornisce un programma completo per la riabilitazione cognitiva dei pazienti affetti da tale patologia, dando la possibilità di continuare la riabilitazione anche da casa. Lo scopo di questa tesi è stata la progettazione e l'implementazione di un esercizio realistico per la riabilitazione delle funzioni esecutive, denominato "Weekend in Rome", e la sua successiva integrazione nella piattaforma MS-Rehab. L'esercizio, basato su pianificazione automatica, prevede che il paziente pianifichi un fine settimana a Roma, dovendo far fronte a tutte le difficoltà che si presenterebbero in tale scenario nella vita di tutti i giorni (prenotazione dei treni e dell'albergo, spostamenti in città con i mezzi pubblici, ecc.)
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Razavian, Adam A. "Cognitive Based Adaptive Path Planning Algorithm for Autonomous Robotic Vehicles." NSUWorks, 2004. http://nsuworks.nova.edu/gscis_etd/793.

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Processing requirement of a complex autonomous robotic vehicle demands high efficiency in algorithmic and software execution. Today's advanced computer hardware technology provides processing capabilities that were not available a decade ago. There are still major space and time limitations on these technologies for autonomous robotic applications. Increasingly, small to miniature mobile robots are required for reconnaissance, surveillance, and hazardous material detections for military and industrial applications. The small sized autonomous mobile robotic applications have limited power capacity as well as memory and processing resources. A number of algorithms exist for producing optimal traverses given changing arc costs. One algorithm stands out as the most used algorithm in simple path finding applications such as games, named the A * algorithm. This dissertation investigated the hypothesis that cognitive based adaptive path planning algorithms are efficient. This assumption is based on the observed capability of biological systems, which ignore irrelevant information and quickly process non-optimum but efficient paths. Path planning function for all organisms from insects to humans is a critical function of survival, and living organisms perform it with graceful accuracy and efficiency. This hypothesis was tested by developing a Cognitive Based Adaptive Path Planning Algorithm (CBAPPA) and a limited simulation program to test the theory of the algorithm, and comparing the result with other known approaches. This dissertation presented a new cognitive based approach in solving the path planning problems for autonomous robotic applications. The goal of this paper was to show that adaptive cognitive based techniques are more efficient by comparing this paper's path planning approach to analytical and heuristic algorithms. This study presented a two-step methodology of Primary Path and Refined Path. Each step was implemented by a number of heuristic algorithms. This paper illustrated that the CBAPPA’s path-finding efficiency exceeds the efficiency of some popular analytical and heuristic approaches. This research paper concluded that the hypothesis was verified and cognitive based path planning algorithm is efficient and is a viable approach for autonomous robotic applications.
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Price, Philip Sidney. "Validity of planning, attention, simultaneous, and successive cognitive processing tasks /." The Ohio State University, 1987. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487585645577074.

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Books on the topic "Cognitive Planning"

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Hoc, J. M. Cognitive psychology of planning. London: Academic, 1988.

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Hoc, Jean-Michel. Cognitive psychology of planning. London: Academic Press, 1988.

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1958-, Morris Robin, and Ward Geoff 1968-, eds. The cognitive psychology of planning. Hove, UK: Psychology Press, 2004.

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Schneider, Justine. Planning for elderly people with cognitive impairment. Canterbury: University of Kent, Personal Social Services Research Unit, 1993.

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1942-, Kar Binod C., and Parrila Rauno K. 1961-, eds. Cognitive planning: The psychological basis of intelligent behavior. New Delhi: Sage Publications, 1996.

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Hoc, Jean-Michel. Psychologie cognitive de la planification. Grenoble: Presses universitaires de Grenoble, 1987.

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L, Friedman Sarah, Scholnick Ellin Kofsky, and Cocking Rodney R, eds. Blueprints for thinking: The role of planning in cognitive development. Cambridge [Cambridgeshire]: Cambridge University Press, 1987.

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Menon, Anoop Ramachandran. Essays on cognition in strategy. Ann Arbor, MI: ProQuest, UMI Dissertation Publishing, 2013.

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Laster, Janet F. Toward excellence in vocational education: Using cognitive psychology in curriculum planning. Columbus, Ohio: The National Center for Research in Vocational Education, The Ohio State University, 1985.

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Stubbart, Charles I. Designing strategic planning systems: Cognitive elaboration, cognitive reduction, and the quality of strategic thinking under conditions of uncertainty, complexity, conflicting interests, and emotional involvement. [Urbana]: College of Commerce and Business Administration,University of Illinois at Urbana-Champaign, 1986.

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Book chapters on the topic "Cognitive Planning"

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Bercher, Pascal, Daniel Höller, Gregor Behnke, and Susanne Biundo. "User-Centered Planning." In Cognitive Technologies, 79–100. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-43665-4_5.

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Boles, David B. "Tools and planning." In Cognitive Evolution, 168–89. 1 Edition. | New York, NY : Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.4324/9780429028038-12.

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Boles, David B. "Tools and planning." In Cognitive Evolution, 180–205. 2nd ed. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003137863-14.

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Haken, Hermann, and Juval Portugali. "Cognitive Planning and Professional Planning." In Springer Series in Synergetics, 235–48. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63457-5_15.

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Zacharias, Franziska. "Application in Planning." In Cognitive Systems Monographs, 93–123. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25182-5_6.

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Brenner, Michael, Christian Plagemann, Bernhard Nebel, Wolfram Burgard, and Nick Hawes. "Planning and Failure Detection." In Cognitive Systems Monographs, 223–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11694-0_6.

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Kucner, Tomasz Piotr, Achim J. Lilienthal, Martin Magnusson, Luigi Palmieri, and Chittaranjan Srinivas Swaminathan. "Motion Planning Using MoDs." In Cognitive Systems Monographs, 115–41. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41808-3_5.

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Roth, Emilie M., Elizabeth P. DePass, Ronald Scott, Robert Truxler, Stephen F. Smith, and Jeffrey L. Wampler. "Designing Collaborative Planning Systems." In Cognitive Systems Engineering, 247–68. Boca Raton : Taylor & Francis, CRC Press, 2017. | Series:: CRC Press, 2017. http://dx.doi.org/10.1201/9781315572529-14.

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Werner, Perla, and Silke Schicktanz. "Competence and cognitive deterioration." In Planning Later Life, 89–103. Milton Park, Abingdon, Oxon ; New York, NY: Routledge, 2017.: Routledge, 2017. http://dx.doi.org/10.4324/9781315600772-7.

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Richter, Felix, and Susanne Biundo. "Addressing Uncertainty in Hierarchical User-Centered Planning." In Cognitive Technologies, 101–21. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-43665-4_6.

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Conference papers on the topic "Cognitive Planning"

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Lorini, Emiliano, Nicolas Sabouret, Brian Ravenet, Jorge Fernandez, and Céline Clavel. "Cognitive Planning in Motivational Interviewing." In 14th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2022. http://dx.doi.org/10.5220/0010895400003116.

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Huang, Ying, Yingxu Wang, and Omar Zatarain. "Dynamic Path Optimization for Robot Route Planning." In 2019 IEEE 18th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC). IEEE, 2019. http://dx.doi.org/10.1109/iccicc46617.2019.9146050.

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Ohwada, Hayato, Masato Okada, and Katsutoshi Kanamori. "Flexible route planning for amusement parks navigation." In 2013 12th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC). IEEE, 2013. http://dx.doi.org/10.1109/icci-cc.2013.6622277.

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Lopez, Sonia, Jose-Antonio Cervantes, Felix Ramos, and Yingxu Wang. "A cognitive model of motor planning for virtual creatures." In 2015 IEEE 14th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC). IEEE, 2015. http://dx.doi.org/10.1109/icci-cc.2015.7259415.

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Jiang, Xiao, Pingyuan Cui, Rui Xu, Ai Gao, and Shengying Zhu. "An action guided constraint satisfaction technique for planning problem." In 2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC). IEEE, 2016. http://dx.doi.org/10.1109/icci-cc.2016.7862031.

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Rahmes, Mark, Richard Clouse, Jay Virts, George Yakimovicz, Bernard Rees, and Wade Talbert. "Cognitive mission planning and system orchestration." In 2017 International Conference on Computing, Networking and Communications (ICNC). IEEE, 2017. http://dx.doi.org/10.1109/iccnc.2017.7876223.

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Doulamis, Nikolaos. "Evacuation Planning through Cognitive Crowd Tracking." In 2009 16th International Conference on Systems, Signals and Image Processing. IEEE, 2009. http://dx.doi.org/10.1109/iwssip.2009.5367704.

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Cavdar, Derya, H. Birkan Yilmaz, Tuna Tugcu, and Fatih Alagoz. "Resource planning in cognitive radio networks." In 2009 6th International Symposium on Wireless Communication Systems (ISWCS 2009). IEEE, 2009. http://dx.doi.org/10.1109/iswcs.2009.5285240.

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Fernandez, Jorge, Dominique Longin, Emiliano Lorini, and Frédéric Maris. "An Implemented System for Cognitive Planning." In 14th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2022. http://dx.doi.org/10.5220/0010846300003116.

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Ho, Mark, Jonathan Cohen, and Thomas Griffiths. "Construal Set Selection and Rigidity in Planning." In 2022 Conference on Cognitive Computational Neuroscience. San Francisco, California, USA: Cognitive Computational Neuroscience, 2022. http://dx.doi.org/10.32470/ccn.2022.1146-0.

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Reports on the topic "Cognitive Planning"

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Camilo, Cláudia, Andréia Salmazo, Margari da Vaz Garrido, and Maria Manuela Calheiros. Parents’ executive functioning in parenting outcomes: A meta-analytic review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, March 2023. http://dx.doi.org/10.37766/inplasy2023.3.0067.

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Review question / Objective: Guided by the PRISMA guidelines, this study aims to systematically review and meta-analyze the literature exploring the association between parents’ basic and higher-order executive functions in adulthood (working memory, inhibitory control, cognitive flexibility, planning, reasoning, problem-solving) and positive and negative parenting outcomes (parenting practices, behaviors, styles). Eligibility criteria: his meta-analysis will include: 1) Studies that analyze the association of mothers’/ fathers’ basic and higher-order executive functions in adulthood and parenting outcomes (e.g., parental styles, behaviors, quality of interaction, abusive or violent practices); 2) Quantitative empirical studies (correlational, longitudinal, and group comparison designs); 3) Peer-reviewed articles or dissertations, published in English, Spanish, or Portuguese. The exclusion criteria are: 1) Studies analyzing children’s executive functions; 2) Studies analyzing children’s developmental outcomes; 3) Studies not focusing on parenting outcomes; 4) Qualitative studies, and non-empirical studies such as theoretical reviews, systematic reviews, or meta-analyses.
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Flower, Linda, John R. Hayes, Karen A. Schriver, Christina Haas, and Linda Carey. Planning in Writing: The Cognition of a Constructive Process. Fort Belvoir, VA: Defense Technical Information Center, May 1989. http://dx.doi.org/10.21236/ada210434.

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Lytvynova, Svitlana H. Хмаро орієнтоване навчальне середовище загальноосвітнього навчального закладу. [б. в.], August 2018. http://dx.doi.org/10.31812/0564/2451.

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Research goals: to outline the state of secondary education to implement a cloud-oriented learning environment (COLE), establishing research objectives: to determine the readiness of students to the introduction of COLE, to develop a conceptual framework of cooperation in COLE at the level of the institution, identify the actors interact COLE. The object of research supports the learning environment secondary schools; subject – a cloud-oriented learning environment of secondary schools. Research methods used: analysis of statistics and publications. Experimental research and conducted in secondary schools Obolon district of Kyiv. Intermediate results: the architecture of COLE 44 secondary schools of the district, introduced more than 10 thousand accounts established electronic interaction between teachers and students by e-mail Outlook. Currently under development cloud storage (SkyDrive) training materials teachers practiced the skills of teamwork and planning tools calendars. The main conclusions and recommendations. Implementation of COLE at secondary schools provides endless opportunities both teacher and student, in fact created conditions for innovation and learning. Without a doubt we can say that for the future of Honshu, for full use must have a quality Internet, motivated teachers. For subjects of the educational process, the conditions of access to learning materials anywhere, anytime, and it activates the cognitive and creative activity of students that will improve key indicators of learning.
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