Reactive agent design for intelligent tutoring systems

Cybernetics and Systems

Volumn 31, Issue 1, 2000, Pages 1-47

  Cruces, Ana Lilia Laureano ^a   Arriaga, Fernando De ^b  

^a UNIVERSIDAD AUTÓNOMA METROPOLITANA AZCAPOTZALCO   (Mexico)

^b UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COGNITIVE SYSTEMS; DESIGN; EXPERT SYSTEMS; KNOWLEDGE REPRESENTATION; LEARNING SYSTEMS; MULTI AGENT SYSTEMS;

COGNITIVE MODELS; INTELLIGENT TUTORING SYSTEMS; REACTIVE AGENT; REACTIVE PRINCIPLES;

INTELLIGENT AGENTS;

EID: 0033993139     PISSN: 01969722     EISSN: 10876553     Source Type: Journal    
DOI: 10.1080/019697200124900     Document Type: Article

References (94)

1. Alonso, C., and D. Gallego. 1994. Los Estilos de Aprendizaje. Bilbao, Spain: Ediciones Mensajero.
2. Anderson, J. 1982. Acquisition of cognitive skill. Psychology Rev. 89: 369-406.
3. Anderson, J. 1988. The expert module. In Foundations of intelligent tutoring systems, eds. Martha C. Polson and J. Jeffrey Richardson. London: Lea Hove.
4. Anderson, J., C. F. Boyle, and B. J. Reiser. 1985. Intelligent tutoring systems. Science 228:456-462.
5. Anderson, J., J. G. Greeno, P. J. Kline, and D. M. Neves. 1981. Acquisition of problem solving skill. In Cognitive skills and their acquisition, ed. J. R. Anderson, 191-230. Hillsdale, NJ: Erlbaum.
6. Anderson, J. R., and B. J. Reiser. 1985. The lisp tutor. BYTE 10:159- 175.
7. Arruarte, A., and I. Fernandez. 1995. A two-phased development shell for learning environments: A design proposal. In Proceedings World Conference Computer in Education VI (WCCE’95), eds. J. D. Tinsley and T. J. Van Weert, 53-65. London: Chapman & Hall.
8. Bajo, M. T., and J. Canas. 1991. Ciencia cognitiva. Editorial Debate. Madrid, Spain.
9. Barr, A., M. Beard, and R. C. Atkinson. 1976. The computer as a tutorial laboratory: The Stanford BIP Project. International Journal of Man Machine Studies 8:567-596.
10. Beer, F., and E. Jhonson. 1980. Mecanica Vectorial para Ingenieros TOMO 1. New York: McGraw-Hill.
11. Beer, R. D. 1990. Intelligence as adaptive behavior: An experiment in computational neuroethology. New York: Academic Press.
12. Bermond, J. C. 1993. Theories des Graphes. Le Courrier du CNRS. No. 80, February. Meudon, France.
13. Borillo, M. 1993. De l’informatique a la cognition. Le Courrier du CNRS. No. 80, February. Meudon, France.
14. Bratko, I. 1992. Machine learning and qualitative modelling in medical applications. In artificial intelligence and intelligent tutoring systems, eds. Danny Kopec and R. Brent Thompson. England: Ellis Horwood.
15. Bretch, B., and M. Jones. 1988. Student models: The genetic graph approach. Internat. J. Man Machine Studies 28:483-504.
16. Breuker, J. 1992. Generality watching: ITS caught between science and engineering. In Proceedings Intelligent Tutoring Systems ITS’92. Montreal, Canada, eds. C. Frasson, G. Gauthier, and G. I. McCalla, 11-20. New York: SpringerVerlag.
17. Brooks, R. 1986. A robust layered control system for a mobile robot. IEEE Robotics and Automation RA-2(1):14-23.
18. Brooks, R. 1991a. Intelligence without representation. Artificial Intelligence 47:139-159.
19. Brooks, R. 1991b. Intelligence without reason. Memo 1293, April, MIT Artificial Intelligence Laboratory.
20. Brown, J. S., R. R. Burton, and A. G. Bell. 1975. SOPHIE, a step towards a reactive learning environment. Internat. J. Man Machine Studies 7:675-696.
21. Brown, J. S., R. R. Burton, and J. deKleer. 1982. Pedagogical, natural language, and knowledge engineering techniques in SOPHIE I, II, and III. In Intelligent tutoring systems, eds. D. Sleeman and J. S. Brown, 227-282. New York: Academic Press.
22. Burton, R., and J. Brown. 1982. An investigation of computer coaching for informal learning activities. In Intelligent Tutoring Systems, eds. D. Sleeman and J. S. Brown, 79-98. New York: Academic Press.
23. Cameron, D., and B. Rosenblatt. 1992. Learning GNU EMACS. O’Reilly & Associates (A NutshellBook).
24. Carbonell, J. 1970. AI in CAI: An artificial intelligence approach to computer assisted instruction. IEEE Transactions on Man Machine Systems 11 (4):190- 202, December.
25. Castañeda, S. 1993. Procesos Cognitivos y Educación Medica. Serie Seminarios No. 1. Facultad de Medicina/Universidad Nacional Autónoma de México. Mexico, D. F.
26. Castañeda, S. 1994. Catedra Jose Gomez Robleda, UNIDAD 3 y UNIDAD 4. Faculad de Psicología/Universidad Nacional Autónoma de Me'xico. Me'xico, D. F.
27. Choquet, Ch., T. Mengelle, G. Gouarderes, and B. Malsallez. 1992. L’Assistance a l’Usager dans DIGITEF: un Me'camsme Reutilisable. In Proceedings Intelligent Tutoring Systems ITS’92. Montreal, Canada. eds. C. Frasson, G. Gauthier, G. I. McCalla, 148- 155. New York: Springer-Verlag.
28. Chouraqui, E., and C. Inghilterra 1992. Resolution par Analogie de Problemes Geometriques dans une Perspective Tutorielle. In Proceedings Intelligent Tutoring Systems ITS’92. Montreal, Canada. eds. C. Frasson, G. Gauthier, and G. I. McCalla, 156-163. New York: Springer-Verlag.
29. Chu, R., and C. Mitchell. 1992. A pedagogical and architecture for intelligent tutoring and aiding in supervisory control of complex systems. In Proceedings Intelligent Tutoring Systems ITS’92. Montreal, Canada. eds. C. Frasson, G. Gauthier, and G. I. McCalla, 164- 171. New York: Springer-Verlag.
30. Clancy, W. J. 1982. Guidon. In the handbook of artificial intelligence. ed. A. Barr and E. A. Fegenbaum, 267-278. Los Altos, CA: William Kaufamann.
31. Clancy, W. J., and R. Letsinger. 1984. NEOMYCIN: Re configuring a Rule-based Expert System for Application to Teaching. Massachusetts: Addison-Wesley.
32. Dion, P., and R. Lelouche. 1992. Application de la méthodologie du traçage de modele a un environment d’apprentissage utilisant une strategie pedagogique non directive. In Proceedings Intelligent Tutoring Systems ITS’92. Montreal, Canada, eds. C. Frasson, G. Gauthier, and G. I. McCalla, 421-434. New York: Springer-Verlag.
33. El Alami, M., F. de Arriaga, and A. Ugena. 1997. SIMUL: Intelligent simulation environment for interdisciplinary project work. In Proceedings Jubilee International Conference II: 53-60. Denmark: Roskilde University.
34. El Alami, M., F. de Arriaga, and A. Ugena. 1998. Multi-agent simulation as an aid for decision making and learning. In Proceedings 2nd KFUPM Workshop on Information & Computer Science (WICCS’98), 121- 130. Dhahran, Saudi Arabia.
35. Elio, R., and P. Scharf. 1990. Modeling novice-to-expert shifts in problem-solving strategy and knowledge organization. Cognitive Science 14:579-639.
36. Elorriaga, J., I. Fernandez, and J. Gutierrez. 1995. Sistemas Tutores Inteligentes y Aprendizaje Automatico. Revisita Informática y Automática 28(4):3-18. Madrid, Spain.
37. Faletti, J. 1982. PANDORA: A program for doing commonsense planning in complex situations. In Proceedings of the National Conference on Artificial Intelligence, 185- 188, AAAI Press.
38. Fernandez, I. 1989. Estrategias de Ensenanza en un Sistema Inteligente de Ensen anza Asistida por Ordenador. Doctoral thesis (3rd Cycle), Universidad del País Vasco, San Sebastian, Spain.
39. Ferber, J. 1993. L’intelligence Artificielle Distribue. Le Courrier du CNRS. No. 80, February. Meudon, France.
40. Ferber, J., and A. Drogoul. 1992. Using reactive multi-agent system simulation and problem solving. In Distributed Artificial Intelligence Theory and Praxis. Computer and information science 5. eds. Nicholas M. Avouris and Les Gasser. Norwell, MA: Kluwer Academic Publishers.
41. Gagne, E. 1985. The cognitive psychology of school learning. Boston, MA: Little Brown & Company.
42. García, A. 1993. Agentes Computacionales Cognitivos Reactivos en la Modelación de la Conducta Visuomotora de la Rana. M. Sc. Thesis, IIMAS-UNAM. Mexico, D.F.
43. García-Alegre, M. C., P. Bustos, and D. Guinea. 1995. Complex behavior generation on autonomous robots: A case study. In Proceedings of the IEEE International Conference on Systems, Man & Cybernetics, Vol. II, 1729- 1734 October. Vancouver, BC, Canada.
44. García-Alegre, M. C., and F. Recio. 1998. Basic and motor agents for increasingly complex behavior generation on a mobile robot. Autonomous Robots 5:19-28. Norwell, MA: Kluwer Academic Publishers.
45. Gegg-Harrison, T. 1992. ADAPT: Automated debugging in an adaptive prolog tutor. In Proceedings Intelligent Tutoring Systems ITS’92. Montreal, Canada. eds. C. Frasson, G. Gauthier, and G. I. McCalla, 111-115. New York: Springer-Verlag.
46. Geneseieth, M. 1978. An automated user consultant for MACSYMA. Ph.D. Thesis, Harvard University.
47. Ghallab, M. Le Robot Qui Decide Seul. 1993. Le Courrier du CNRS, No. 80, February. Meudon, France.
48. Ginsburg H., and S. Opper. 1986. Piaget y la Teoría del Desarrollo Intelectual. Englewood Cliffs, NJ: Prentice-Hall.
49. Girard, J., G. Gauthier, and S. Levesque. 1992. Une architecture multiagent. In Proceedings Intelligent Tutoring Systems ITS’92. Montreal, Canada. Eds. C. Frasson, G. Gauthier, and G. I. McCalla, 172-182. New York: SpringerVerlag.
50. Goldstein, I. 1976. The computer as a coach: An athletic paradigm for intellectual education, Memo 389, December. MIT Artificial Intelligence Laboratory.
51. Goldstein, I. 1977. The genetic graph: A representation for the evolution of procedural knowledge. In Man Machine Studies 11:51-77.
52. Gutierrez, J. 1994. INTZA: Un Sistema Tutor Inteligente para Entrenamiento en Entornos Industriales. Doctoral Thesis (3rd Cycle), Universidad del País Vasco, San Sebastian, Spain.
53. Halff, H. 1988. Curriculum and instruction in automated tutors. In Foundations of Intelligent Tutoring Systems. Eds. Martha C. Polson and J. Jeffrey Richardson. Lea Hove & London.
54. Hayes-Roth, B. 1997. Introducción. In Proceedings of First International Conference on Autonomous Agents. Marina del Rey California: ACM Press.
55. Hexmoor, H. 1995. Learning routines. In Proceedings International Conference on Intelligent Agents II. Ed. Wooldridge, 178- 186. Montreal, Canada.
56. Huang, T. C. 1980. Mecánica para Ingenieros-TOMO I. Editorial Representation y Servicios de Ingeniería S.A.
57. Kaelbling, L. P. 1987. An architecture for intelligent reactive systems. In Reasoning about actions and plans. Eds. Michael P. Georgeff and Amy L. Lansky, 395-410. Morgan Kauffmann.
58. Kaelbling, L. P., and S. J. Rosenschein. 1993. Action and planning in embedded actions. In Designing autonomous agents: Theory and practice from biology to engineering and back. Cambridge, MA: MIT Press.
59. Kono, Y., M. Ikeda, and R. Mizoguchi. 1992. To contradict is human. In Proceedings Intelligent Tutoring Systems ITS’92. Montreal, Canada. Eds. C. Frasson, G. Gauthier, and G. I. McCalla, 451-458. New York: SpringerVerlag.
60. Laureano, A. 1992. Introduccion a la Mecanica Estructural por Medio de la Animacion por Comuptadora. Reporte Interno No. 286. Introduccion a la Mecánica Estructural por Medio de la Animación por Computadora. Departamento de sistemas. Universidad Autónoma Metropolitana-Azcapotzalco. Mexico, D.F.
61. Laureano, A. 1993a. Tecnologías Orientadas a Ojetos. Revista EN LINEA Universidad Autonoma Metrolitana-Azcapotzalco 1(2):26- 30, July. Mexico, D.F.
62. Laureano, A. 1993b. Multimedios v Cognicion. Revista Perfiles Educativos. No. 62, 38- 41. CISE-UNAM. México, D.F.
63. Laureano, A. 1994. Inteligencia Artificial e Induction Revista EN LINEA Universidad Autonoma Metrolitana-Azcapotzalco 1 (4):7-12, March. Mexico, D.F.
64. Laureano, A. 1995. Herramientas para la Representation del Conocimiento en Sistemas con Inteligencia Artificial. Revista EN LINEA Universidad Autonoma Metrolitana-Azcapotzalco 1(5):14-22, May. Me'xico, D.F.
65. Laureano, A. 1997. Multiagentes en el Diseüo de un Sistema de Enseüanza Inteligente. Revista Perfiles Educativos XIX(75):23- 33. CISE-UNAM, Me'xico, D.F.
66. Laureano, A., and F. de Arriaga. 1996. Diseíio del Domino en Sistemas de Ensehanza Inteligentes: basado en la reactividad de los agentes. In Proceedings II Jornadas Nacionales de Innovacion en las Ensenanzas de las Ingenierías II: 987-999. ICE-UPM, Madrid, Spain.
67. Laureano, A., and F. de Arriaga. 1997. Un Sistema MultiAgente Reactivo en los Sistemas de Ensefíanza Inteligentes. Revista Informatica y Automatica 30(4):71-84. Spain.
68. Laureano, A., and F. de Arriaga. 1998. An intelligent tutoring system to teach an integrated skill. In Proceedings 2nd KFUPM Workshop on Information & Computer Science (WICCS’98), 71-84. Daharam, Saudi Arabia.
69. Laureano, A., and J. Negrete. 1996. Una Arquitectura Reactiva en Sistemas de Ensenanza Inteligentes. In Proceedings Informatica Educativa ‘96, UNED. Madrid, Spain.
70. Laureano, A., and T. Ortiz. 1996. Introduccion a la Programacion Orientada a Objetos: Un Enfoque con Tipos Abstractos de Datos y Estructuras de Datos. Ed. Universidad Autonoma Metropolitana-Azcapotzalco. Me'xico, D.F.
71. Maes, P. 1993a. Designing autonomous agents. In Designing autonomous agents: Theory and practice from biology to engineering and back. Cambridge, MA: MIT Press.
72. Maes, P. 1993b. Situated agents can have goals. In Designing autonomous agents: Theory and practice from biology to engineering and back. Cambridge, MA: MIT Press.
73. Michie, D., and M. Bain. 1992. Machine acquisition of concepts from sample data. In Artificial intelligence and intelligent tutoring systems. Eds. Danny Kopec and R. Brent Thompson. England: Ellis Horwood.
74. Minsky, M. 1987a. La Sociedad de la Mente. Editorial, Galapagos, Spain.
75. Moore, J. 1992. Winch simulation: Multiple, linked representations of linear functions. In Proceedings Intelligent Tutoring Systems ITS’92. Montreal, Canada. Eds. C. Frasson, G. Gauthier, and G. I. McCalla, 111-115. New York: Springer-Verlag.
76. Negrete, J. 1992. De la Filosofía a la Inteligencia Artificial. Ed. Grupo Noriega Editores. Mexico.
77. Nehemie, P. 1992. A systematic approach for student modeling in a multi-agent aided learning environment. In Proceedings Intelligent Tutoring Systems ITS’92. Montreal, Canada. Eds. C. Frasson, G. Gauthier, and G. I. McCalla. 475-482. New York: Springer-Verlag.
78. Nigay, L., and J. Coutaz. 1991. Building user interfaces: Organizing software agents. A cookbook for organizing software agents. ESPIRIT Basic Research Action 3066 AMODEUS (Assimilating Models of Designers, Users, and Systems).
79. Oktaba, H. 1993. Disen o Orientado a Objetos: Metodo de Booch. Notas de la Maestría en Ciencias de la Computacion de la UACP y P del CCH, con sede en el IIMAS-UNAM, March. Ciudad Universitaria, Mexico.
80. Rasmussen, J. 1986. Information processing human-machine interaction. An approach to cognitive engineering. Amsterdam: North Holland.
81. Redding, R. E. 1989. Perspectives on cognitive task analysis: The state of the state of the art. In 33rd Annual Proceedings of the Human Factors Society. Ed. Human Factors, 1348-1352. Santa Monica, CA.
82. Redding, R. E. 1992. A standard procedure for conducting cognitive task analysis. ERIC Documentation Reproduction Service. No. DE 340-847.
83. Rickel, J. 1989. Intelligent computer aided instruction: A survey organized around systems components. IEEE Transactions on Systems, Man, and Cybernetics 19(1):40-57.
84. Ryder, J. M., and R. E. Redding. 1993. Integrating cognitive task analysis into instructional systems development. Educational Technology Research & Development. (ETR&D) 41 (2):75-96.
85. Shortliffe, E. H. 1976. Computer-based medical consultations: MYCIN. New York: American Elsevier.
86. Sime, J., and R. Leitch. 1992. A learning environment based on multiple qualitative models. In Proceedings Intelligent Tutoring Systems ITS’92. Montreal, Canada. Eds. C. Frasson, G. Gauthier, and G. I. McCalla, 116-123. New York: Springer-Verlag.
87. Sleeman, D., and J. S. Brown. 1982. Intelligent tutoring systems: An overview, 1-11. New York: Academic Press.
88. Sombe, L. 1993. Informations Incompletes, Informations Contradictoires. Le Courrier du CNRS No. 80, February. Meudon, France.
89. Urretavizcaya, M. 1991. Sistema para la Detección, Diagnostico y Corrección de Errores en un Sistema Tutor Inteligente. Doctoral thesis (3rd Cycle), Universidad del Pas Vasco, San Sebastian, Spain.
90. VanLehn, K. 1988. Student modeling. In Foundations of intelligent tutoring systems, eds. Martha C. Poison and J. Jeffrey Richardson. Lea Hove & London.
91. Wang, H., and A. Kushniruk, 1992. The UNIX Tutor. In Proceedings Intelligent Tutoring Systems ITS’92. Montreal, Canada. Eds. C. Frasson, G. Gauthier, and G. I. McCalla, 317-324. New York: Springer-Verlag.
92. Wild, M. 1996. Mental model and computer modelling. J. Computer Assisted Learning (12): 10-21.
93. Woods, P. M., and J. R. Hartley. 1971. Some learning models for arithmetic task and their use in computer-based learning. British J. Education Psychology 41:35-48.
94. Yibin M., and L. Jianxiang. 1992. Intelligent tutoring system for symbolic calculation. In Proceedings Intelligent Tutoring Systems ITS’92. Montreal, Canada. Eds. C. Frasson, G. Gauthier, and G. I. McCalla, 111-115. New York: Springer-Verlag.