Toward Meta-Level Control of Autonomous Agents

被引：6

作者：

Dannenhauer, Dustin ^{[1
]}

Cox, Michael T. ^{[2
]}

Gupta, Shubham ^{[3
]}

Paisner, Matt ^{[4
]}

Perlis, Don ^{[4
]}

机构：

[1] Lehigh Univ, Bethlehem, PA 18015 USA

[2] Wright State Res Inst, Beavercreek, OH 45431 USA

[3] Thomas Jefferson High Sch Sci & Technol, Alexandria, VA 22312 USA

[4] Univ Maryland, College Pk, MD 20742 USA

来源：

5TH ANNUAL INTERNATIONAL CONFERENCE ON BIOLOGICALLY INSPIRED COGNITIVE ARCHITECTURES, 2014 BICA | 2014年 / 41卷

关键词：

Computational metacognition; cognitive architecture; metareasoning; long-duration autonomy;

D O I：

10.1016/j.procs.2014.11.107

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Metareasoning is an important capability for autonomous systems, particularly for those being deployed on long duration missions. An agent with increased self-observation and the ability to control itself in response to changing environments will be more capable in achieving its goals. This is essential for long-duration missions where system designers will not be able to, theoretically or practically, predict all possible problems that the agent may encounter. In this paper we describe preliminary work that integrates the metacognitive architecture MIDCA with an autonomous TREX agent, creating a more self-observable and adaptive agent.

引用

页码：226 / 232

页数：7

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