Advanced Iterative Action Planning for Intelligent Real-Time Agents

被引：1
|
作者：
Panteleev, M. G. [1 ]
机构：
[1] St Petersburg Electrotech Univ LETI, Prof Popova Str,5, St Petersburg 197376, Russia
来源：
PROCEEDINGS OF THE 13TH INTERNATIONAL SYMPOSIUM INTELLIGENT SYSTEMS 2018 (INTELS'18) | 2019年 / 150卷
关键词：
intelligent agent; multi-agent systems; real-time; action planning; knowledge representation models;
D O I：
10.1016/j.procs.2019.02.049
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Action planning by intelligent agents in open dynamic multi-agent worlds is a challenging problem when creating autonomous robots, UAVs and other autonomous systems. A method for planning actions in an ever-changing multi-agent world is proposed, that ensures the effective use of the deliberation time by planning mental actions. Knowledge representation models necessary for the agent to implement advanced iterative planning are considered. The proposed approach is illustrated by examples of planning an agent's actions in virtual soccer. (C) 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the scientific committee of the 13th International Symposium "Intelligent Systems" (INTELS'18).
引用
收藏
页码：244 / 252
页数：9
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