Decision-making in large-scale military simulation: a requirement for expert systems
Abstract
Computerized war-gaming and combat simulation represents a very fertile application area for artificial intelligence. In a war game or detailed simulation one typically finds multiple decision-making agents, each performing the tasks for which artificial intelligence (AI) is well-suited, such as hypothesis formulation, pattern recognition, planning, scheduling, and resource allocation, performed in an environment full of uncertainty and incomplete, distorted, or disguised information. The decision-makers are gathered together into two or more hierarchies, with information flow inside each hierarchy subject to interpretation and error.
- Authors:
- Publication Date:
- Research Org.:
- Lawrence Livermore National Lab., CA (USA)
- OSTI Identifier:
- 6415316
- Report Number(s):
- UCRL-88686
ON: DE83007343
- DOE Contract Number:
- W-7405-ENG-48
- Resource Type:
- Technical Report
- Resource Relation:
- Other Information: 1
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; WARFARE; COMPUTERIZED SIMULATION; DECISION MAKING; SIMULATION; 990000* - General & Miscellaneous
Citation Formats
Erickson, Jr, S A, Balaban, D J, and Nelson, D O. Decision-making in large-scale military simulation: a requirement for expert systems. United States: N. p., 1983.
Web.
Erickson, Jr, S A, Balaban, D J, & Nelson, D O. Decision-making in large-scale military simulation: a requirement for expert systems. United States.
Erickson, Jr, S A, Balaban, D J, and Nelson, D O. 1983.
"Decision-making in large-scale military simulation: a requirement for expert systems". United States.
@article{osti_6415316,
title = {Decision-making in large-scale military simulation: a requirement for expert systems},
author = {Erickson, Jr, S A and Balaban, D J and Nelson, D O},
abstractNote = {Computerized war-gaming and combat simulation represents a very fertile application area for artificial intelligence. In a war game or detailed simulation one typically finds multiple decision-making agents, each performing the tasks for which artificial intelligence (AI) is well-suited, such as hypothesis formulation, pattern recognition, planning, scheduling, and resource allocation, performed in an environment full of uncertainty and incomplete, distorted, or disguised information. The decision-makers are gathered together into two or more hierarchies, with information flow inside each hierarchy subject to interpretation and error.},
doi = {},
url = {https://www.osti.gov/biblio/6415316},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Feb 01 00:00:00 EST 1983},
month = {Tue Feb 01 00:00:00 EST 1983}
}
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