A model for combination of external and internal stimuli in the action selection of an autonomous agent

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1793 LNAI, Issue , 2000, Pages 621-633

  González Pérez, Pedro Pablo ^a,b   Negrete Martínez, José ^a,c   Barreiro García, Ariel ^d   Gershenson García, Carlos ^b  

^a INSTITUTO DE INVESTIGACIONES BIOMÉDICAS   (Mexico)

^b UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO   (Mexico)

^c ISCM H ^*  (Mexico)

^d ISCM H   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION SELECTION; ACTION SELECTION MECHANISM; COMBINATION MODELS; INTERNAL STATE;

ARTIFICIAL INTELLIGENCE;

AUTONOMOUS AGENTS;

EID: 84897804637     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/10720076_56     Document Type: Conference Paper

References (22)

1. Baerends, G. (1976) The functional organization of behaviour. Animal Behaviour, 24, 726-735.
2. Beer, R. (1990) Intelligence as Adaptive Behaviour: an Experiment in Computational Neuroethology. Academic Press.
3. Beer, R., Chiel, H. and Sterling, L. (1990) A biological perspective on autonomous agent design. Robotics and Autonomous Systems, 6, 169-186.
4. Brooks, R. A. (1986) A robust layered control system for a mobile robot. IEEE Journal of Robotics and Automation. RA-2, April, pp. 14-23.
5. Brooks, R. A. (1989) A robot that walks: Emergent behaviour from a carefully evolved network. Neural Computation, 1, 253-262.
6. Goetz, P. and D. Walters (1997) The dynamics of recurrent behaviour networks. Adaptive Behaviour, 6(2), 245-282.
7. González, P.P. (1999) Redes de Conductas Internas como Nodos-Pizarrón: Selección de Acciones y Aprendizaje en un Robot Reactivo. Tesis Doctoral, Instituto de Investigaciones Biomédicas/UNAM, México.
8. González, P.P. and J. Negrete (1997) REDSIEX: A cooperative network of expert systems with blackboard architectures. Expert Systems, 14(4), 180-189.
9. Hallam, B.E, J. Halperin and J. Hallam (1994) An Ethological Model for Implementation in Mobile Robots. En Adaptive Behaviour, 3 (1), pp 51-79.
10. Hopfield, J.J. (1982) Neural networks and physical systems with emergent collective computational abilities. Proceedings of the National Academy of Sciences, 79, 2554-2558.
11. Lorenz, K. (1950) The comparative method in studying innate behaviour patterns. Symposia of the Society for Experimental Biology, 4, 221-268.
12. Lorenz, K. (1981) Foundations of Ethology. Springer-Verlag.
13. Maes, P. (1990) Situated agents can have goals. Journal of Robotics and Autonomous Systems, 6(1&2).
14. Maes, P. (1991) A bottom-up mechanism for behaviour selection in an artificial creature. En J.A. Meyer and S.W. Wilson (ed.), From Animals to Animats: Proceedings of the First International Conference on Simulation of Adaptive Behaviour MIT Press/Bradford Books.
15. Maes, P. (1994) Modeling Adaptive Autonomous Agents. Journal of Artificial Life, 1(1,2), MIT Press.
16. McFarland, D.J. and A.I. Houston (1981) Quantitative Ethology: The state space approach. Boston: Pitman.
17. Negrete, J. and M. Martínez (1996) Robotic Simulation in Ethology. Proceedings of the IASTED International Conference: Robotics and Manufacturing, Honolulu, Hawaii, USA, pp. 271-274.
18. Negrete, J. and P.P. González (1998) Net of multi-agent expert systems with emergent control. Expert Systems with Applications, 14(1) 109-116.
19. Pfeifer, R. and C. Scheier (1999) Understanding Intelligence. MIT Press.
20. Rosenblatt, K. and D. Payton (1989) A fine-grained alternative to the subsumption architecture for mobile robot control. Proceedings of the IEEE/INNS International Joint Conference on Neural Networks, IEEE.
21. Tinbergen, N. (1950) The hierarchical organization of mechanisms underlying instinctive behaviour. Experimental Biology, 4, 305-312.
22. Tinbergen, N. (1951) The Study of Instinct. Claredon Press.