TY - CONF T1 - Action Selection Properties in a Software Simulated Agent T2 - {MICAI} 2000: Advances in Artificial Intelligence Y1 - 2000 A1 - C. Gershenson A1 - P. P. González A1 - J. Negrete ED - {O. Cairó ED - L. E. Súcar, F.J. Cantú AB - 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. JF - {MICAI} 2000: Advances in Artificial Intelligence T3 - Lecture Notes in Artificial Intelligence PB - Springer, Verlag CY - Acapulco, México VL - 1793 UR - http://uk.arxiv.org/abs/cs.AI/0211039 ER - TY - CONF T1 - A Model for Combination of External and Internal Stimuli in the Action Selection of an Autonomous Agent T2 - {MICAI} 2000: Advances in Artificial Intelligence Y1 - 2000 A1 - P. P. González A1 - J. Negrete A1 - A. Barreiro A1 - C. Gershenson. ED - {O. Cairó ED - L. E. Súcar, F.J. Cantú AB - 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. JF - {MICAI} 2000: Advances in Artificial Intelligence T3 - Lecture Notes in Artificial Intelligence PB - Springer, Verlag CY - Acapulco, México VL - 1793 UR - http://uk.arxiv.org/abs/cs.AI/0211040 ER -