Výsledky vyhledávání - "Laird, J. E."

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An Architectural Approach to Ensuring Consistency in Hierarchical Execution

Autor: Laird, J. E., Wray, R. E.

Publikováno v: Journal Of Artificial Intelligence Research, Volume 19, pages 355-398, 2003

Hierarchical task decomposition is a method used in many agent systems to organize agent knowledge. This work shows how the combination of a hierarchy and persistent assertions of knowledge can lead to difficulty in maintaining logical consistency in

Externí odkaz: http://arxiv.org/abs/1106.4871

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Flexibly Instructable Agents

Autor: Huffman, S. B., Laird, J. E.

Publikováno v: Journal of Artificial Intelligence Research, Vol 3, (1995), 271-324

This paper presents an approach to learning from situated, interactive tutorial instruction within an ongoing agent. Tutorial instruction is a flexible (and thus powerful) paradigm for teaching tasks because it allows an instructor to communicate wha

Externí odkaz: http://arxiv.org/abs/cs/9511101

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Synthetic Adversaries for Urban Combat Training

Autor: Robert Wray, Laird, J. E., Nuxoll, A., Stokes, D., Kerfoot, A.

Publikováno v: AI Magazine; Vol 26, No 3: Fall 2005; 82
Scopus-Elsevier

This article describes requirements for synthetic adversaries for urban combat training and a prototype application, MOUTBots. MOUTBots use a commercial computer game to define, implement, and test basic behavior representation requirements and the S

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f8dc5b0abdb11db5455c36a9937a421e
http://aaai.org/ojs/index.php/aimagazine/article/view/1828

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