%0 Conference Paper %B {MICAI} 2000: Advances in Artificial Intelligence %D 2000 %T Action Selection Properties in a Software Simulated Agent %A C. Gershenson %A P. P. González %A J. Negrete %E {O. Cairó %E L. E. Súcar, F.J. Cantú %X 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. %B {MICAI} 2000: Advances in Artificial Intelligence %S Lecture Notes in Artificial Intelligence %I Springer, Verlag %C Acapulco, México %V 1793 %P 634–648 %G eng %U http://uk.arxiv.org/abs/cs.AI/0211039 %0 Conference Paper %B {MICAI} 2000: Advances in Artificial Intelligence %D 2000 %T A Model for Combination of External and Internal Stimuli in the Action Selection of an Autonomous Agent %A P. P. González %A J. Negrete %A A. Barreiro %A C. Gershenson. %E {O. Cairó %E L. E. Súcar, F.J. Cantú %X This paper proposes a model for combination of external and internal stimuli for the action selection in an autonomous agent, based in an action selection mechanism previously proposed by the authors. This combination model includes additive and multiplicative elements, which allows to incorporate new properties, which enhance the action selection. A given parameter a, which is part of the proposed model, allows to regulate the degree of dependence of the observed external behaviour from the internal states of the entity. %B {MICAI} 2000: Advances in Artificial Intelligence %S Lecture Notes in Artificial Intelligence %I Springer, Verlag %C Acapulco, México %V 1793 %P 621–633 %G eng %U http://uk.arxiv.org/abs/cs.AI/0211040