Comparing a Voting-Based Policy with Winner-Takes-All to Perform Action Selection in Motivational Agents

TitleComparing a Voting-Based Policy with Winner-Takes-All to Perform Action Selection in Motivational Agents
Publication TypeConference Paper
Year of Publication2002
AuthorsAvila-García, O, Cañamero, L
EditorGarijo, FJ, Riquelme, JC, Toro, M
Name of ProceedingsAdvances in Artificial Intelligence – IBERAMIA 2002; Proc. 8th Ibero-American Conference on AI
Series TitleLecture Notes in Computer Science
Series Volume2527
Pagination855–864
PublisherSpringer
Conference LocationSeville, Spain
ISBN Number978-3-540-00131-7
Abstract

Embodied autonomous agents are systems that inhabit dynamic, unpredictable environments in which they try to satisfy a set of time-dependent goals or motivations in order to survive. One of the problems that this implies is action selection, the task of resolving conflicts between competing behavioral alternatives. We present an experimental comparison of two action selection mechanisms (ASM), implementing "winner-takes-all" (WTA) and "voting-based" (VB) policies respectively, modeled using a motivational behavior-based approach. This research shows the adequacy of these two ASM with respect to different sources of environmental complexity and the tendency of each of them to show different behavioral phenomena.

DOI10.1007/3-540-36131-6_87