Architecture of a Qualitative Cognitive Agent

被引：0
|
作者：
Kulinich, A. [1 ,2 ]
机构：
[1] RAS, VA Trapeznikov Inst Control Sci, Moscow, Russia
[2] Kurchatov Inst, Natl Res Ctr, Moscow, Russia
来源：
ARTIFICIAL INTELLIGENCE (RCAI 2018) | 2018年 / 934卷
基金：
俄罗斯科学基金会;
关键词：
Cognitive architecture; BDI architecture; Conceptual framework; Behavior planning; Cooperative agents;
D O I：
10.1007/978-3-030-00617-4_10
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
An architecture of a qualitative cognitive agent is proposed, which includes: a knowledge representation model, a behavioral planning, and an agent cooperation subsystem. The agent knowledge model is represented in the form of a qualitative conceptual framework structuring the agents functioning environment on the subspaces defining the classes of possible states. In the agent behavior planning subsystem, the agent's choice of action is based on solving the inverse problem in the logical-linguistic equations of agent dynamics. The subsystem of agent cooperation is based on the criterion of mutual usefulness of agents. The proposed architecture of a qualitative cognitive agent allows implementing and exploring various principles of command behavior of set agent with a BDI-architecture with less labor, while maintaining the basic properties of intelligent agents.
引用
收藏
页码：102 / 111
页数：10
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