Goal Setting and Behavior Planning for Cognitive Agents
- 作者: Panov A.I.1,2
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隶属关系:
- Artificial Intelligence Research Institute, Federal Research Center “Computer Science and Control,” Russian Academy of Sciences
- Moscow Institute of Physics and Technology
- 期: 卷 46, 编号 6 (2019)
- 页面: 404-415
- 栏目: Article
- URL: https://journals.rcsi.science/0147-6882/article/view/175552
- DOI: https://doi.org/10.3103/S0147688219060066
- ID: 175552
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详细
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.
作者简介
A. Panov
Artificial Intelligence Research Institute, Federal Research Center “Computer Science and Control,” Russian Academy of Sciences; Moscow Institute of Physics and Technology
编辑信件的主要联系方式.
Email: pan@isa.ru
俄罗斯联邦, Moscow, 119333; Dolgoprudny, Moscow Oblast, 141701
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