Thinking Adaptive: Towards a Behaviours Virtual

Gershenson, Carlos and Gonzalez Perez, Pedro Pablo and Negrete Martinez, Jose (2000) Thinking Adaptive: Towards a Behaviours Virtual. [Conference Poster]

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In this paper we name some of the advantages of virtual laboratories; and propose that a Behaviours Virtual Laboratory should be useful for both biologists and AI researchers, offering a new perspective for understanding adaptive behaviour. We present our development of a Behaviours Virtual Laboratory, which at this stage is focused in action selection, and show some experiments to illustrate the properties of our proposal, which can be accessed via Internet.

Item Type:Conference Poster
Keywords:virtual laboratory, action selection mechanism, animats
Subjects:Computer Science > Robotics
ID Code:1478
Deposited By: Gershenson, Carlos
Deposited On:08 May 2001
Last Modified:11 Mar 2011 08:54

References in Article

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Beer, R. D., H. J. Chiel, and L. S. Sterling, (1990). A Biological

Perspective for Autono mous Agent Design. Robotics and

Autonomous Systems 6, 169-186.

Beer, R. D. and H. J. Chiel (1993). Simulations of Cockroach

Locomotion and Escap e. Biologic al Neura l Networks in

Invertebr ate Neuroe thology and Robotics. Academic Press.

Brooks, R. A. (1986) A Robust Layered Control System for a

Mobile Robot. IEEE Journal of Robotics and Automation,

RA-2, April, 14-23.

Gershenson, C. (1999) Modelling Emotions with

Multidimensional Logic. Proceedings of the 18th

International Conference of the North A merican Fuzzy

Information Processing Society (N AFIPS ?99), pp. 42-46.

New York City, NY.

Gershenson, C., González, P.P. and Negrete, J. (2000a) Action

Selection Properties in a Software Simulated Agent. In

Cairó, O. et. al. MICAI 2000: Advances in Artificial

Intelligence, Lecture Notes in Artificial Intelligence 1793,

pp. 634-648, Springer-Verlag.

González, P.P. and Negrete, J. (1997). REDSIEX: A

cooperative network of expert systems with blackboard

architectures. Expert S ystems, 14(4): 180-189.

González, P.P. (20 00). Redes de Conductas Internas como

Nodos Pizarrón: Selección de Acciones y Aprendizaje en

un Robot. Ph.D. Dissertation. Instituto de Investigaciones

Biomédicas, UNAM, México.

González, P.P., Negrete, J., Barreiro, A.J. and Gershenson, C.

(2000) A Model for Combination of External and Internal

Stimuli in the Action Selection of an Autonomous Agent.

In Cairó, O. et. al. MICAI 2000: Advances in Artificial

Intelligence, Lecture N otes in Artificial Intelligence 1793,

pp. 621-633, Springer-Verlag.

Maes, P. (1990) Situated agents can have go als. Journal of

Robotics and A utonom ous Syste ms, 6(1&2).

Negrete, J. and Martínez, M. (1996). Robotic Simulation in

Ethology. Proceedings of the IAESTED International

Conference: Robotic and Manufacturing. Honolulu,

Hawaii, USA.

Negrete, J. and González, P.P. (1998). Net of multi-agent

expert systems with eme rgent contro l. Expert Systems with

Applica tions, 14(1): 109-116.

Tyrrell, T. (1993) Computationa l Mechanisms for A ction

Selection . PhD. Dissertation. University of Edinburgh.


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