Artificial intelligence in air combat games
type: Item
instance of: scholarly article
title: Artificial intelligence in air combat games
zbMATH Open document ID: 0609.90108
DOI: 10.1016/0898-1221(87)90109-X
author: B. George
publication date: 1987-01-01T00:00:00Z
review text: A general framework for the utilization of large numbers of optimal pursuit-evasion algorithms, as applied to air combat, is described. The framework is based upon and is driven by artificial intelligence concepts. The method employed involves the valuation of alternative tactical strategies and maneuvers through a goal system and pilot-derived expert data bases. The system is designed to display the most promising strategies to the pilot for a final decision. Two aspects of the concept above are described here: the general framework and a specific implementation for a synthetic method of flight and fire control system optimization. Details of the implementation, based on off-the-shelf hardware and a standard programming language, are also given. Potential utilization of these concepts includes other areas as well: submarine warfare and satellite based weapon systems are two possible additional applications. Nonmilitary applications are air traffic control and optimal scheduling.
Mathematics Subject Classification ID: 91A24
Mathematics Subject Classification ID: 90B99
zbMATH DE Number: 3987076
zbMATH Keywords: optimal pursuit-evasion algorithms
zbMATH Keywords: air combat
zbMATH Keywords: artificial intelligence
zbMATH Keywords: pilot-derived expert data bases
zbMATH Keywords: flight and fire control system
MaRDI profile type: Publication
cites work: ON THE NOTION OF RELEVANCE IN INFORMATION RETRIEVAL
cites work: Q3856120
cites work: Q5532185
cites work: Multivariate time series analysis with state space models
full work available at URL: 0898-1221(87)90109-x
OpenAlex ID: W1987896743
published in: Computers & Mathematics with Applications
description: scientific article; zbMATH DE number 3987076