Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy

Research of Artificial Intelligent Plan Recognition Method in the Multi- Agents Conditions

Authors
Lei Wang
Corresponding Author
Lei Wang
Available Online July 2015.
DOI
10.2991/icismme-15.2015.188How to use a DOI?
Keywords
Artificial Intelligent Plan Recognition; Plan Recognition Method; Virtual State Graph.
Abstract

This paper bases on the formal theoretical research of this plan recognition model, it preliminary studied the plan recognition technology; it is based on the functional characteristics from intelligent plan recognition theory, which one of the most important hotspots in the research field of artificial intelligence. It can analyze the presumable multi-target states that will be achieved by attacker and it can effectively identify the final target state attacker may achieve. Therefore, it can realize the response process to the invasive action of the attacker.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
Series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
978-94-62520-67-7
ISSN
1951-6851
DOI
10.2991/icismme-15.2015.188How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Lei Wang
PY  - 2015/07
DA  - 2015/07
TI  - Research of Artificial Intelligent Plan Recognition Method in the Multi- Agents Conditions
BT  - Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 895
EP  - 898
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.188
DO  - 10.2991/icismme-15.2015.188
ID  - Wang2015/07
ER  -