Accession Number : ADA290049
Title : Interaction and Intelligent Behavior.
Descriptive Note : Technical rept.,
Corporate Author : MASSACHUSETTS INST OF TECH CAMBRIDGE ARTIFICIAL INTELLIGENCE LAB
Personal Author(s) : Mataric, Maja J.
PDF Url : ADA290049
Report Date : AUG 1994
Pagination or Media Count : 191
Abstract : We introduce basic behaviors as primitives for control and learning in situated, embodied agents interacting in complex domains. We propose methods for selecting, formally specifying, algorithmically implementing, empirically evaluating, and combining behaviors from a basic set. We also introduce a general methodology for automatically constructing higher--level behaviors by learning to select from this set. Based on a formulation of reinforcement learning using conditions, behaviors, and shaped reinforcement, out approach makes behavior selection learnable in noisy, uncertain environments with stochastic dynamics. All described ideas are validated with groups of up to 20 mobile robots performing safe--wandering, following, aggregation, dispersion, homing, flocking, foraging, and learning to forage. (AN)
Descriptors : *ROBOTS, *ARTIFICIAL INTELLIGENCE, ALGORITHMS, DATA PROCESSING, EXPERIMENTAL DATA, STOCHASTIC PROCESSES, DECISION MAKING, COGNITION, LEARNING MACHINES, KNOWLEDGE BASED SYSTEMS, BEHAVIOR, CONTROL THEORY, SELECTION, STRUCTURED PROGRAMMING.
Subject Categories : Cybernetics
Distribution Statement : APPROVED FOR PUBLIC RELEASE