Goal Setting and Behavior Planning for Cognitive Agents
- Авторлар: Panov A.I.1,2
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Мекемелер:
- Artificial Intelligence Research Institute, Federal Research Center “Computer Science and Control,” Russian Academy of Sciences
- Moscow Institute of Physics and Technology
- Шығарылым: Том 46, № 6 (2019)
- Беттер: 404-415
- Бөлім: Article
- URL: https://journals.rcsi.science/0147-6882/article/view/175552
- DOI: https://doi.org/10.3103/S0147688219060066
- ID: 175552
Дәйексөз келтіру
Аннотация
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.
Авторлар туралы
A. Panov
Artificial Intelligence Research Institute, Federal Research Center “Computer Science and Control,” Russian Academy of Sciences; Moscow Institute of Physics and Technology
Хат алмасуға жауапты Автор.
Email: pan@isa.ru
Ресей, Moscow, 119333; Dolgoprudny, Moscow Oblast, 141701
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