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Action Selection Properties in a Software Simulated Agent

  • Conference paper
MICAI 2000: Advances in Artificial Intelligence (MICAI 2000)

Abstract

This article analyses the properties of the Internal Behaviour network, an action selection mechanism previously proposed by the authors, with the aid of a simulation developed for such ends. A brief review of the Internal Behaviour network is followed by the explanation of the implementation of the simulation. Then, experiments are presented and discussed analysing the properties of the action selection in the proposed model.

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References

  1. Baerends, G.: The functional organization of behaviour. Animal Behaviour 24, 726–735 (1976)

    Article  Google Scholar 

  2. Beer, R.: Intelligence as Adaptive Behaviour: an Experiment in Computational Neuroethology. Academic Press, London (1990)

    MATH  Google Scholar 

  3. Beer, R., Chiel, H., Sterling, L.: A biological perspective on autonomous agent design. Robotics and Autonomous Systems 6, 169–186 (1990)

    Article  Google Scholar 

  4. Brooks, R.A.: A robust layered control system for a mobile robot. IEEE Journal of Robotics and Automation RA-2, 14–23 (1986)

    Article  MathSciNet  Google Scholar 

  5. Brooks, R.A.: A robot that walks: Emergent behaviour from a carefully evolved network. Neural Computation 1, 253–262 (1989)

    Article  Google Scholar 

  6. Gershenson, C.: Modelling Emotions with Multidimensional Logic. In: Proceedings of the l8h International Conference of the North American Fuzzy Information Processing Society (NAFIPS 1999), New York City, NY, pp. 42–46 (1999)

    Google Scholar 

  7. Goetz, P., Walters, D.: The dynamics of recurrent behaviour networks. Adaptive Behaviour 6(2), 245–282 (1997)

    Article  Google Scholar 

  8. González, P.P.: Redes de Conductas Internas como Nodos-Pizarrón: Selectión de Acciones y Aprendizaje en un Robot Reactivo. Tesis Doctoral, Instituto de Investigaciones, Biomédicas/UNAM, México (1999)

    Google Scholar 

  9. González, P.P., Negrete, J.: REDSIEX: A cooperative network of expert systems with blackboard architectures. Expert Systems 14(4), 180–189 (1997)

    Article  Google Scholar 

  10. Hallam, B.E., Halperin, J., Hallam, J.: An Ethological Model for Implementation in Mobile Robots. Adaptive Behaviour 3(1), 51–79 (1994)

    Article  Google Scholar 

  11. Lorenz, K.: The comparative method in studying innate behaviour patterns. In: Symposia of the Society for Experimental Biology, vol. 4, pp. 221–268 (1950)

    Google Scholar 

  12. Lorenz, K.: Foundations of Ethology. Springer, Heidelberg (1981)

    Google Scholar 

  13. Maes, P.: Situated agents can have goals. Journal of Robotics and Autonomous Systems 6(1&2) (1990)

    Google Scholar 

  14. Maes, P.: A bottom-up mechanism for behaviour selection in an artificial creature. In: Meyer, J.A., Wilson, S.W. (eds.) From Animals to Animats: Proceedings of the First International Conference on Simulation of Adaptive Behaviour. MIT Press/Bradford Books (1991)

    Google Scholar 

  15. Maes, P.: Modelling Adaptive Autonomous Agents. Journal of Artificial Life 1(1,2), MIT Press (1994)

    Google Scholar 

  16. McFarland, D.J., Houston, A.I.: Quantitative Ethology: The state space approach. Pitman, Boston (1981)

    Google Scholar 

  17. Negrete, J., Martínez, M.: Robotic Simulation in Ethology. In: Proceedings of the IASTED International Conference: Robotics and Manufacturing, Honolulu, Hawaii, USA, pp. 271–274 (1996)

    Google Scholar 

  18. Negrete, J., González, P.P.: Net of multi-agent expert systems with emergent control. Expert Systems with Applications 14(1), 109–116 (1998)

    Article  Google Scholar 

  19. Nii, H.P.: Blackboard systems. In: Barr, E.A., Cohen, P.R., Feigenbaum, E.A. (eds.) The Handbook of Artificial Intelligence, vol. IV. Addison-Wesley Publishing Company, Reading (1989)

    Google Scholar 

  20. Pfeifer, R., Scheier, C.: Understanding Intelligence. MIT Press, Cambridge (1999)

    Google Scholar 

  21. Rosenblatt, K., Payton, D.: A fine-grained alternative to the subsumption architecture for mobile robot control. In: Proceedings of the IEEE/INNS International Joint Conference on Neural Networks. IEEE, Los Alamitos (1989)

    Google Scholar 

  22. Tinbergen, N.: The hierarchical organization of mechanisms underlying instinctive behaviour. Experimental Biology 4, 305–312 (1950)

    Google Scholar 

  23. Tinbergen, N.: The Study of Instinct. Claredon Press, Oxford (1951)

    Google Scholar 

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© 2000 Springer-Verlag Berlin Heidelberg

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Gershenson García, C., González Pérez, P.P., Negrete Martínez, J. (2000). Action Selection Properties in a Software Simulated Agent. In: Cairó, O., Sucar, L.E., Cantu, F.J. (eds) MICAI 2000: Advances in Artificial Intelligence. MICAI 2000. Lecture Notes in Computer Science(), vol 1793. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10720076_57

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  • DOI: https://doi.org/10.1007/10720076_57

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67354-5

  • Online ISBN: 978-3-540-45562-2

  • eBook Packages: Springer Book Archive

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