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Goal Setting and Behavior Planning for Cognitive Agents
Scientific and Technical Information Processing ( IF 0.4 ) Pub Date : 2020-03-17 , DOI: 10.3103/s0147688219060066
A. I. Panov

Abstract

This paper considers a sign-based approach to the problem of modeling the goal-setting process and integrating it with behavior planning methods. The GoalMAP algorithm, which is based on a psychologically plausible sign-based world model of a cognitive agent, is proposed. The algorithm implements an iterative hierarchical planning process with emphasis on the stage of setting or selecting a new goal. The complexity of the behavior planning algorithm is estimated. Model experiments with a software implementation of the constructed algorithms that demonstrates key features of the adopted approach are performed.


中文翻译:

认知主体的目标设定和行为计划

摘要

本文考虑了一种基于符号的方法来解决目标设定过程的建模问题,并将其与行为计划方法相集成。提出了GoalMAP算法,该算法基于一种基于心理似然符号的认知主体世界模型。该算法执行迭代层次计划过程,重点放在设置或选择新目标的阶段。估计行为计划算法的复杂性。使用所构造算法的软件实现进行模型实验,以演示所采用方法的关键特征。
更新日期:2020-03-17
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