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Disciplina asociada:Computación Básica |
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Escuela:
Por definir
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Departamento Académico:
Por definir
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Programas académicos: |
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Requisitos:(Haber Aprobado CB00853 o Haber Aprobado CB95853) |
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Equivalencia:TC2011 |
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Intención del curso en el contexto general del plan de estudios: |
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Es un curso de nivel intermedio en el campo de estudio de la computación y básico para la concentración de Sistemas Inteligentes y Computación Visual. Se considera que el estudiante tiene conocimientos básicos de Lógica Matemática y que es capaz de programar a nivel intermedio en los diferentes paradigmas de programación. Como resultado de aprendizaje de este curso se espera que los estudiantes desarrollen aplicaciones que utilicen las técnicas fundamentales de Sistemas Inteligentes. |
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Objetivo general de la Unidad de Formación: |
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| Que el estudiante se capaz de: Conocer las principales tecnologías de la Inteligencia Artificial que puedan aplicarse a problemas reales utilizando el enfoque de los agentes inteligentes. Identificar situaciones reales donde dichas tecnologías puedan ser aplicadas exitósamente justificando su uso.Aplicar las tecnologías a problemas reales donde técnicas convencionales no ofrecen soluciones adecuadas. Valorar los límites de las técnicas convencionales en la solución de problemas. | |||||
Técnica didáctica sugerida: |
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| No especificado | |||||
Bibliografía sugerida: |
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LIBROS DE TEXTO: * Stuart Russell, Peter Norvig, Artificial Intelligence: a modern approach, Prentice-Hall, 1995, eng, * Nils J. Nilsson, Artificial Intelligence: A New Synthesis, Morgan Kaufman, 1998, eng, * David Poole, Alan Mackworth, Randy Goebel, Computational Intelligence: A Logical Approach, Oxford University Press, 1998, eng, LIBROS DE CONSULTA: * Wooldridge, Michael J., 1966-, An introduction to multiagent systems, Chichester, England : J. Wiley, c2002., 047149691X * Weiss, Gerhard, Multiagent systems : a modern approach to distributed artificial intelligence, Cambridge, Mass. : MIT Press, c1999., 0262232030 (hardcover : alk. paper) * Rich, Elaine, Artificial intelligence, 007Y665087 * Schalkoff, Robert J, Artificial intelligence : an engineering approach, * Luger, George F., Artificial intelligence : structures and strategies for complex problems solving, 3th ed., Reading, MA. : Addison Wesley Longman, 1998., * Haddadi, Afsaneh,, Communication and cooperation in agent systems : a pragmatic theory, * Australian Workshop on DAI, Distributed artificial intelligence : architecture and modelling : First Australian Workshop on DAI, Canberra, ACT, Australia, November 13, 1995 : proceedings, * Weib, Gerhard,, Distributed artificial intelligence meets machine learning : learning in multi-agent environments : ECAI'96 Workshop LDAIS, Budapest, Hungary, August 13, 1996, ICMAS'96 Workshop LIOME, Kyoto, Japan, December 10, 1996, selected papers, * WINSTON, PATRICK HENRY., Inteligencia artificial, 3 Ed., Wilmington, Delaware : Addison-Wesley , 1994., spa, * Singh, Munidar Paul,, Multiagent systems : a theoretical framework for intentions, know-how, and communications, * González, Avelino J., The engineering of knowledge-based systems : theory and practice, Englewood Cliffs, NJ : Prentice Hall, 1993., |
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Perfil del Profesor: |
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(110102)Maestría en Inteligencia Artificial /Robótica ; (110102)Doctorado en Inteligencia Artificial /Robótica ; (110701)Maestría en Ciencias Computacionales ; (110103)Maestría en Tecnología de la Información/Informática/Sistemas Computacionales ; (110701)Doctorado en Ciencias Computacionales ; (110103)Doctorado en Tecnología de la Información/Informática/Sistemas Computacionales CIP: 110102, 110701, 110103 |
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Discipline:Basic Computer Studies |
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School:
Undefined
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Academic Department:
Undefined
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Programs: |
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Prerequisites:( CB00853 or CB95853) |
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Equivalences:TC2011 |
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Course intention within the general study plan context: |
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This is an intermediate level course in the field of computer studies and fundamental for Intelligent Systems and Visual Computing Concentration. The course requires students to have basic knowledge of mathematical logic and be able to program at an intermediate level using the different programming paradigms. Learning outcome: students will develop applications using the basic techniques of Intelligent Systems. |
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Course objective: |
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| "The student will be able to know the artificial intelligence main technologies that can be applied to real problems, using the intelligent agents approach. Also, he/she will identify real situations in which such technologies could be successfully applied and justify their use. To apply technologies to real problems in which conventional techniques do not offer adequate solutions. To value the limits of conventional techniques in solving problems." | |||||
Teaching and learning tecniques: |
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| Not Specified | |||||
Suggested Bibliography: |
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TEXT BOOKS: * Stuart Russell, Peter Norvig, Artificial Intelligence: a modern approach, Prentice-Hall, 1995, eng, * Nils J. Nilsson, Artificial Intelligence: A New Synthesis, Morgan Kaufman, 1998, eng, * David Poole, Alan Mackworth, Randy Goebel, Computational Intelligence: A Logical Approach, Oxford University Press, 1998, eng, BOOKS FOR CONSULTATION: * Wooldridge, Michael J., 1966-, An introduction to multiagent systems, Chichester, England : J. Wiley, c2002., 047149691X * Weiss, Gerhard, Multiagent systems : a modern approach to distributed artificial intelligence, Cambridge, Mass. : MIT Press, c1999., 0262232030 (hardcover : alk. paper) * Rich, Elaine, Artificial intelligence, 007Y665087 * Schalkoff, Robert J, Artificial intelligence : an engineering approach, * Luger, George F., Artificial intelligence : structures and strategies for complex problems solving, 3th ed., Reading, MA. : Addison Wesley Longman, 1998., * Haddadi, Afsaneh,, Communication and cooperation in agent systems : a pragmatic theory, * Australian Workshop on DAI, Distributed artificial intelligence : architecture and modelling : First Australian Workshop on DAI, Canberra, ACT, Australia, November 13, 1995 : proceedings, * Weib, Gerhard,, Distributed artificial intelligence meets machine learning : learning in multi-agent environments : ECAI'96 Workshop LDAIS, Budapest, Hungary, August 13, 1996, ICMAS'96 Workshop LIOME, Kyoto, Japan, December 10, 1996, selected papers, * WINSTON, PATRICK HENRY., Inteligencia artificial, 3 Ed., Wilmington, Delaware : Addison-Wesley , 1994., spa, * Singh, Munidar Paul,, Multiagent systems : a theoretical framework for intentions, know-how, and communications, * González, Avelino J., The engineering of knowledge-based systems : theory and practice, Englewood Cliffs, NJ : Prentice Hall, 1993., |
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Academic credentials required to teach the course: |
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(110102)Master Degree in Artificial Intelligence/Robotics and (110102)Doctoral Degree in Artificial Intelligence/Robotics and (110701)Master Degree in Computational Sciences and (110103)Master Degree in Information Technology. and (110701)Doctoral Degree in Computational Sciences and (110103)Doctoral Degree in Information Technology. CIP: 110102, 110701, 110103 |
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