Motivación cognitiva y afectiva en el modelado conceptual

Se presenta una propuesta hacia la extensión de modelos conceptuales de sistemas de información, en para permitir la especificación y simulación del comportamiento de los agentes con un grado adecuado de realismo. Nuestro método se basa principalmente en reglas para inferir los objetivos de los agen...

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Autores:: Furtado, Antonio L.
M. Ciarlini, Angelo E.

Tipo de recurso:: Trabajo de grado de pregrado

Fecha de publicación:: 2002

Institución:: Universidad Autónoma de Bucaramanga - UNAB

Repositorio:: Repositorio UNAB

Idioma:: spa

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dc.title.spa.fl_str_mv	Motivación cognitiva y afectiva en el modelado conceptual
dc.title.translated.eng.fl_str_mv	Cognitive and affective motivation in conceptual modelling
title	Motivación cognitiva y afectiva en el modelado conceptual
spellingShingle	Motivación cognitiva y afectiva en el modelado conceptual Innovaciones tecnológicas Ciencia de los computadores Desarrollo de tecnología Ingeniería de sistemas Investigaciones Tecnologías de la información y las comunicaciones TIC´s Technological innovations Computer science Technology development Systems engineering Investigations Information and communication technologies ICT's Conceptual modelling Simulation Multi-agents Affective motivation Goal interferences Innovaciones tecnológicas Ciencias de la computación Desarrollo tecnológico Ingeniería de sistemas Investigación Modelado conceptual Simulación Multi-agentes Motivación afectiva Interferencias de gol
title_short	Motivación cognitiva y afectiva en el modelado conceptual
title_full	Motivación cognitiva y afectiva en el modelado conceptual
title_fullStr	Motivación cognitiva y afectiva en el modelado conceptual
title_full_unstemmed	Motivación cognitiva y afectiva en el modelado conceptual
title_sort	Motivación cognitiva y afectiva en el modelado conceptual
dc.creator.fl_str_mv	Furtado, Antonio L. M. Ciarlini, Angelo E.
dc.contributor.author.spa.fl_str_mv	Furtado, Antonio L. M. Ciarlini, Angelo E.
dc.contributor.googlescholar.spa.fl_str_mv	Furtado, Antonio L. [axkOp4QAAAAJ] Furtado, Antonio L. [Antonio-Furtado-2]
dc.subject.none.fl_str_mv	Innovaciones tecnológicas Ciencia de los computadores Desarrollo de tecnología Ingeniería de sistemas Investigaciones Tecnologías de la información y las comunicaciones TIC´s
topic	Innovaciones tecnológicas Ciencia de los computadores Desarrollo de tecnología Ingeniería de sistemas Investigaciones Tecnologías de la información y las comunicaciones TIC´s Technological innovations Computer science Technology development Systems engineering Investigations Information and communication technologies ICT's Conceptual modelling Simulation Multi-agents Affective motivation Goal interferences Innovaciones tecnológicas Ciencias de la computación Desarrollo tecnológico Ingeniería de sistemas Investigación Modelado conceptual Simulación Multi-agentes Motivación afectiva Interferencias de gol
dc.subject.keywords.eng.fl_str_mv	Technological innovations Computer science Technology development Systems engineering Investigations Information and communication technologies ICT's Conceptual modelling Simulation Multi-agents Affective motivation Goal interferences
dc.subject.lemb.spa.fl_str_mv	Innovaciones tecnológicas Ciencias de la computación Desarrollo tecnológico Ingeniería de sistemas Investigación
dc.subject.proposal.spa.fl_str_mv	Modelado conceptual Simulación Multi-agentes Motivación afectiva Interferencias de gol
description	Se presenta una propuesta hacia la extensión de modelos conceptuales de sistemas de información, en para permitir la especificación y simulación del comportamiento de los agentes con un grado adecuado de realismo. Nuestro método se basa principalmente en reglas para inferir los objetivos de los agentes a partir de situaciones que tienen en estados dados. En este artículo, argumentamos que las reglas deberían tener en cuenta tanto las funciones cognitivas como las características afectivas, como se puede transmitir, para los distintos agentes, por sus perfiles individuales y estados internos actuales. Tales características también deberían influir en la elección de estrategias para manejar las interferencias de objetivos en entornos de múltiples objetivos/multiagente.
publishDate	2002
dc.date.issued.none.fl_str_mv	2002-12-01
dc.date.accessioned.none.fl_str_mv	2020-10-27T00:21:28Z
dc.date.available.none.fl_str_mv	2020-10-27T00:21:28Z
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dc.relation.none.fl_str_mv	https://revistas.unab.edu.co/index.php/rcc/article/view/1099/1071
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dc.relation.references.none.fl_str_mv	M. A. Alberti, D. Maggiorin, P. Trapani. NARTOO: a tool based on semiotics to support the manipulation of a narrative. In Proc. of Computational Semiotics for Games and New Media (COSIGN02). Augsburg , 2002. J. Bates. The role of emotion in believable agents. Communications of the ACM, 7, 37 122-125, 1994. C. Breazeal. A motivational system for regulating human-robot interaction. In Proc. of the Fifteenth National Conference on Artificial Intelligence, Madison, 54-61, 1998. J. Carroll. The deep structure of literary representations. Evolution and Human Behavior, 20, 159-173, 1999. A. E. M. Ciarlini and A. L. Furtado. Understanding and Simulating Narratives in the Context of Information Systems. In Proc. of the 21th International Conference on Conceptual Modeling, 2002. P. R. Cohen, H. J. Levesque. Intention is Choice with Commitment. Artificial Intelligence, 42 (2-3) 213-261, 1990. P. R. Cohen and C. R. Perrault. Elements of a plan-based theory of speech acts. In Readings in Natural Language Processing. B. J. Grosz, K. S. Jones and B. L. Webber (eds.). Morgan Kaufmann, 423-440, 1986. A. E. M. Ciarlini, P. A. S. Veloso and A. L. Furtado. A Formal Framework for Modelling at the Behavioural Level. In Proc. of the European-Japanese Conference on Information Modeling and Knowledge Bases, 67-81, 2000. M. Carlsson and J. Widen. Sicstus Prolog Users Manual, Release 3.0. Swedish Institute of Computer Science, 1995. G. Davenport, S. Agamanolis, B. Barry, B. Bradley and K. Brooks. Synergistic storyscapes and constructionist cinematic sharing. IBM System Journal, 39 (3-4) 456-469, 2000. G. Donato, M. S. Bartlett, J. C. Hager, P. Ekman and T. J. Sejnowski. Classifying facial actions. IEEE Trans. on Pattern Analysis and Machine Intelligence, 21 (10) 974-989, 1999. A. Dardenne, A. v. Lamsweerde and S. Fickas. Goal-directed requirements acquisition. Science of Computer Programming 20, 3-50, 1993. W. Durant - The Story of Philosophy. Simon and Schuster, 1961. C. Elliott: Using the Affective Reasoner to Support Social Simulations. In Proc. of the 13th International Joint Conference on Artificial Intelligence, 194-201, 1993. A. L. Furtado and A. E. M. Ciarlini: Constructing libraries of typical plans. In Proc. of the 13th International Conference on Advanced Information Systems Engineering (CAiSE), Interlaken, 124-139, 2001. T. Finin, R. Fritzson, D. McKay and R. McEntire. KQML as an agent communication language. In Proc. of the Third International Conference on Information and Knowledge Management,1994. P. C. Kanelakis, G. M. Kuper and P. Z. Revesz. Constraint query languages. Journal of Computer and System Sciences, 51, 26-52, 1995. S. Kaiser and T. Wehrle. Emotion research and AI: some theoretical and technical issues. Geneva Studies in Emotion and Communication, 8 (2), 1-16, 1994. H. J. Levesque and G. Lakemeyer. The logic of knowledge bases. MIT Press, 2000. G. Mantovani - Social context in HCL: a new framework for mental models, cooperation and communication. Cognitive Science, 20, 2, 237-269, 1996. J. Mylopoulos, L. Chung and E. Yu. From object-oriented to goal-oriented requirements analysis. Communications of the ACM, 42 (1), 31-37, 1999. G. Morgan. Images of Organization: the Executive Edition. Berrett-Koehler Publishers, 1998. A. Ortony, G. L. Clore and M. A. Foss. The referential structure of the affective lexicon. Cognitive Science,11 (3) 341-364, 1987. P. O'Rorke and A. Ortony. Explaining Emotions. Cognitive Science, 18 (2) 283-323, 1994. C. Pelachaud, N. I. Badler and M. Steedman. Generating facial expressions for speech. Cognitive Science, 20, 1-46, 1996. J. J. Perez Alcazar, A. L. Furtado and A. E. M. Ciarlini. Cooperative interfaces based on plan recognition and generation. In Proc. XXVII Conferencia Latinoamericana de Informática (CLEI), Mérida, 2001. P. Persson, J. Laaksolahti and P. Lönnqvist. Proc. of Stereotyping characters: a way of triggering anthropomorphism? In Proc. Socially Intelligent Agents - The Human in the Loop - AAAI Fall Symposium, 2000. R. W. Picard, E. Vyzas and J. Healey. Toward machine emotional intelligence: analysis of affective physiological state. IEEE Trans. on Pattern Analysis and Machine Intelligence 23 (10) 1175-1191, 2001. A. S. Rao and M. P. Georgeff. Modeling rational agents within a BDI-architecture. In Proc. of the International Conference on Principles of Knowledge Representation and Reasoning, 473-484, 1991. D. Rousseau, B. Hayes-Roth. A social-psychological model for synthetic actors. Knowledge Systems Laboratory of the Department of Computer Science, Report KSL 97- 07, Stanford University,1997. E. Rich. User modeling via stereotypes. Cognitive Science 3, 329-354, 1979. S. Russell and P. Norvig. Artificial Intelligence - a Modern Approach. Prentice-Hall, 1995. N. M. Sgouros. Dynamic generation, management and resolution of interactive plots. Artificial Intelligence, 107, 29-62, 1999. Special issue on digital entertainment. Scientific American, 283 (5), November 2000. A. Sloman and B. Logan. Architectures and tools for human-like agents. Communications of the ACM, 42 (3) 71-77, 1999. A. Tversky and D. Kahneman. Extensional versus intuitive reasoning: the conjunction fallacy in probability judgement. Psychological Review, 90, 293-315, 1983. J. D. Velásquez. Modeling emotions and other motivations in synthetic agents. In Proc. of the Fourteenth National Conference on Artificial Intelligence, Providence, 10-15, 1997 R. Willensky. Planning and Understanding - a Computational Approach to Human Reasoning. Addison-Wesley, 1983. M. Wooldridge and N. R. Jennings. Intelligent agents: theory and practice. Knowledge Engineering Review 10 (2), 1995. M. Wooldridge. Reasoning about Rational Agents. MIT Press, 2000.
dc.rights.none.fl_str_mv	Derechos de autor 2002 Revista Colombiana de Computación
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publisher.none.fl_str_mv	Universidad Autónoma de Bucaramanga UNAB
dc.source.none.fl_str_mv	Revista Colombiana de Computación; Vol. 3 Núm. 2 (2002): Revista Colombiana de Computación; 1-13
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spelling	Furtado, Antonio L.4c6eb189-b410-41ad-bc6c-3db9ef77bc5cM. Ciarlini, Angelo E.f2671625-a5fd-4a6a-a3de-24d66baf1041Furtado, Antonio L. [axkOp4QAAAAJ]Furtado, Antonio L. [Antonio-Furtado-2]2020-10-27T00:21:28Z2020-10-27T00:21:28Z2002-12-012539-21151657-2831http://hdl.handle.net/20.500.12749/9059instname:Universidad Autónoma de Bucaramanga UNABrepourl:https://repository.unab.edu.coSe presenta una propuesta hacia la extensión de modelos conceptuales de sistemas de información, en para permitir la especificación y simulación del comportamiento de los agentes con un grado adecuado de realismo. Nuestro método se basa principalmente en reglas para inferir los objetivos de los agentes a partir de situaciones que tienen en estados dados. En este artículo, argumentamos que las reglas deberían tener en cuenta tanto las funciones cognitivas como las características afectivas, como se puede transmitir, para los distintos agentes, por sus perfiles individuales y estados internos actuales. Tales características también deberían influir en la elección de estrategias para manejar las interferencias de objetivos en entornos de múltiples objetivos/multiagente.A proposal is presented towards the extension of conceptual models of information systems, in order to allow specification and simulation of the behaviour of agents with an adequate degree of realism. Our method is mainly based on rules to infer the goals of agents from situations holding at given states. In this paper, we argue that the rules should take into account both cognitive and affective characteristics, as can be conveyed, for the various agents, by their individual profiles and current internal states. Such characteristics should also influence the choice of strategies to handle goal interferences in multi-goal/multi-agent environments.application/pdfspaUniversidad Autónoma de Bucaramanga UNABhttps://revistas.unab.edu.co/index.php/rcc/article/view/1099/1071https://revistas.unab.edu.co/index.php/rcc/article/view/1099M. A. Alberti, D. Maggiorin, P. Trapani. NARTOO: a tool based on semiotics to support the manipulation of a narrative. In Proc. of Computational Semiotics for Games and New Media (COSIGN02). Augsburg , 2002.J. Bates. The role of emotion in believable agents. Communications of the ACM, 7, 37 122-125, 1994.C. Breazeal. A motivational system for regulating human-robot interaction. In Proc. of the Fifteenth National Conference on Artificial Intelligence, Madison, 54-61, 1998.J. Carroll. The deep structure of literary representations. Evolution and Human Behavior, 20, 159-173, 1999.A. E. M. Ciarlini and A. L. Furtado. Understanding and Simulating Narratives in the Context of Information Systems. In Proc. of the 21th International Conference on Conceptual Modeling, 2002.P. R. Cohen, H. J. Levesque. Intention is Choice with Commitment. Artificial Intelligence, 42 (2-3) 213-261, 1990.P. R. Cohen and C. R. Perrault. Elements of a plan-based theory of speech acts. In Readings in Natural Language Processing. B. J. Grosz, K. S. Jones and B. L. Webber (eds.). Morgan Kaufmann, 423-440, 1986.A. E. M. Ciarlini, P. A. S. Veloso and A. L. Furtado. A Formal Framework for Modelling at the Behavioural Level. In Proc. of the European-Japanese Conference on Information Modeling and Knowledge Bases, 67-81, 2000.M. Carlsson and J. Widen. Sicstus Prolog Users Manual, Release 3.0. Swedish Institute of Computer Science, 1995.G. Davenport, S. Agamanolis, B. Barry, B. Bradley and K. Brooks. Synergistic storyscapes and constructionist cinematic sharing. IBM System Journal, 39 (3-4) 456-469, 2000.G. Donato, M. S. Bartlett, J. C. Hager, P. Ekman and T. J. Sejnowski. Classifying facial actions. IEEE Trans. on Pattern Analysis and Machine Intelligence, 21 (10) 974-989, 1999.A. Dardenne, A. v. Lamsweerde and S. Fickas. Goal-directed requirements acquisition. Science of Computer Programming 20, 3-50, 1993.W. Durant - The Story of Philosophy. Simon and Schuster, 1961.C. Elliott: Using the Affective Reasoner to Support Social Simulations. In Proc. of the 13th International Joint Conference on Artificial Intelligence, 194-201, 1993.A. L. Furtado and A. E. M. Ciarlini: Constructing libraries of typical plans. In Proc. of the 13th International Conference on Advanced Information Systems Engineering (CAiSE), Interlaken, 124-139, 2001.T. Finin, R. Fritzson, D. McKay and R. McEntire. KQML as an agent communication language. In Proc. of the Third International Conference on Information and Knowledge Management,1994.P. C. Kanelakis, G. M. Kuper and P. Z. Revesz. Constraint query languages. Journal of Computer and System Sciences, 51, 26-52, 1995.S. Kaiser and T. Wehrle. Emotion research and AI: some theoretical and technical issues. Geneva Studies in Emotion and Communication, 8 (2), 1-16, 1994.H. J. Levesque and G. Lakemeyer. The logic of knowledge bases. MIT Press, 2000.G. Mantovani - Social context in HCL: a new framework for mental models, cooperation and communication. Cognitive Science, 20, 2, 237-269, 1996.J. Mylopoulos, L. Chung and E. Yu. From object-oriented to goal-oriented requirements analysis. Communications of the ACM, 42 (1), 31-37, 1999.G. Morgan. Images of Organization: the Executive Edition. Berrett-Koehler Publishers, 1998.A. Ortony, G. L. Clore and M. A. Foss. The referential structure of the affective lexicon. Cognitive Science,11 (3) 341-364, 1987.P. O'Rorke and A. Ortony. Explaining Emotions. Cognitive Science, 18 (2) 283-323, 1994.C. Pelachaud, N. I. Badler and M. Steedman. Generating facial expressions for speech. Cognitive Science, 20, 1-46, 1996.J. J. Perez Alcazar, A. L. Furtado and A. E. M. Ciarlini. Cooperative interfaces based on plan recognition and generation. In Proc. XXVII Conferencia Latinoamericana de Informática (CLEI), Mérida, 2001.P. Persson, J. Laaksolahti and P. Lönnqvist. Proc. of Stereotyping characters: a way of triggering anthropomorphism? In Proc. Socially Intelligent Agents - The Human in the Loop - AAAI Fall Symposium, 2000.R. W. Picard, E. Vyzas and J. Healey. Toward machine emotional intelligence: analysis of affective physiological state. IEEE Trans. on Pattern Analysis and Machine Intelligence 23 (10) 1175-1191, 2001.A. S. Rao and M. P. Georgeff. Modeling rational agents within a BDI-architecture. In Proc. of the International Conference on Principles of Knowledge Representation and Reasoning, 473-484, 1991.D. Rousseau, B. Hayes-Roth. A social-psychological model for synthetic actors. Knowledge Systems Laboratory of the Department of Computer Science, Report KSL 97- 07, Stanford University,1997.E. Rich. User modeling via stereotypes. Cognitive Science 3, 329-354, 1979.S. Russell and P. Norvig. Artificial Intelligence - a Modern Approach. Prentice-Hall, 1995.N. M. Sgouros. Dynamic generation, management and resolution of interactive plots. Artificial Intelligence, 107, 29-62, 1999.Special issue on digital entertainment. Scientific American, 283 (5), November 2000.A. Sloman and B. Logan. Architectures and tools for human-like agents. Communications of the ACM, 42 (3) 71-77, 1999.A. Tversky and D. Kahneman. Extensional versus intuitive reasoning: the conjunction fallacy in probability judgement. Psychological Review, 90, 293-315, 1983.J. D. Velásquez. Modeling emotions and other motivations in synthetic agents. In Proc. of the Fourteenth National Conference on Artificial Intelligence, Providence, 10-15, 1997R. Willensky. Planning and Understanding - a Computational Approach to Human Reasoning. Addison-Wesley, 1983.M. Wooldridge and N. R. Jennings. Intelligent agents: theory and practice. Knowledge Engineering Review 10 (2), 1995.M. Wooldridge. Reasoning about Rational Agents. MIT Press, 2000.Derechos de autor 2002 Revista Colombiana de Computaciónhttp://creativecommons.org/licenses/by-nc-sa/4.0/http://creativecommons.org/licenses/by-nc-nd/2.5/co/Atribución-NoComercial-SinDerivadas 2.5 Colombiahttp://purl.org/coar/access_right/c_abf2Revista Colombiana de Computación; Vol. 3 Núm. 2 (2002): Revista Colombiana de Computación; 1-13Innovaciones tecnológicasCiencia de los computadoresDesarrollo de tecnologíaIngeniería de sistemasInvestigacionesTecnologías de la información y las comunicacionesTIC´sTechnological innovationsComputer scienceTechnology developmentSystems engineeringInvestigationsInformation and communication technologiesICT'sConceptual modellingSimulationMulti-agentsAffective motivationGoal interferencesInnovaciones tecnológicasCiencias de la computaciónDesarrollo tecnológicoIngeniería de sistemasInvestigaciónModelado conceptualSimulaciónMulti-agentesMotivación afectivaInterferencias de golMotivación cognitiva y afectiva en el modelado conceptualCognitive and affective motivation in conceptual modellinginfo:eu-repo/semantics/articleArtículohttp://purl.org/coar/resource_type/c_7a1fhttp://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/redcol/resource_type/CJournalArticlehttp://purl.org/coar/version/c_970fb48d4fbd8a85ORIGINAL200_Articulo_Motivación cognitiva y afectiva en el modelado conceptual.pdf200_Articulo_Motivación cognitiva y afectiva en el modelado conceptual.pdfArtículoapplication/pdf255484https://repository.unab.edu.co/bitstream/20.500.12749/9059/1/200_Articulo_Motivaci%c3%b3n%20cognitiva%20y%20afectiva%20en%20el%20modelado%20conceptual.pdf4aa8240c8aa6e014dd2643337f1b54deMD51open accessTHUMBNAIL200_Articulo_Motivación cognitiva y afectiva en el modelado conceptual.pdf.jpg200_Articulo_Motivación cognitiva y afectiva en el modelado conceptual.pdf.jpgIM Thumbnailimage/jpeg7871https://repository.unab.edu.co/bitstream/20.500.12749/9059/2/200_Articulo_Motivaci%c3%b3n%20cognitiva%20y%20afectiva%20en%20el%20modelado%20conceptual.pdf.jpg419dd6fd56e72d6914534586c72265e4MD52open access20.500.12749/9059oai:repository.unab.edu.co:20.500.12749/90592022-12-14 16:01:37.786open accessRepositorio Institucional \| Universidad Autónoma de Bucaramanga - UNABrepositorio@unab.edu.co

Motivación cognitiva y afectiva en el modelado conceptual

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