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Artificial Motivation for Cognitive Software Agents Cover
Open Access
|Feb 2020

Abstract

Natural selection has imbued biological agents with motivations moving them to act for survival and reproduction, as well as to learn so as to support both. Artificial agents also require motivations to act in a goal-directed manner and to learn appropriately into various memories. Here we present a biologically inspired motivation system, based on feelings (including emotions) integrated within the LIDA cognitive architecture at a fundamental level. This motivational system, operating within LIDA’s cognitive cycle, provides a repertoire of motivational capacities operating over a range of time scales of increasing complexity. These include alarms, appraisal mechanisms, appetence and aversion, and deliberation and planning.

Language: English
Page range: 38 - 69
Submitted on: Jan 20, 2017
Accepted on: Dec 24, 2019
Published on: Feb 1, 2020
Published by: Artificial General Intelligence Society
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2020 Ryan J. McCall, Stan Franklin, Usef Faghihi, Javier Snaider, Sean Kugele, published by Artificial General Intelligence Society
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.