The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.11 - November (1994 vol.16)
pp: 1074-1086
ABSTRACT
<p>This paper offers a new approach to integration of modules in an intelligent sensor system. Such a system requires that a set of modules-each doing a smaller portion of the overall task-be integrated within a unifying framework. From the perspective of computational systems, this problem holds a considerable interest because it is characterized by a set of coexisting mathematical objectives that need to be optimized simultaneously. In this sense, the design considerations necessitate the introduction of problem solving with multiple objectives. This paper explores these issues in the instance when each module is associated with a mathematical objective that is a function of the outputs of other modules. The integration problem is formulated and what is required of a good solution is presented. This examination interprets the decentralized mediation of conflicting subgoals as promoting a N-player game amongst the modules to be integrated and proposes a game-theoretic integration framework. We model the interaction among the modules as a noncooperative game and argue that this strategy leads to a framework in which the solutions correspond to a compromise decision. The application of this framework in image analysis motivates the hope that a framework such as game-theoretic integration will facilitate the development of general design principles for "modular" systems.</p>
INDEX TERMS
artificial intelligence; image processing; sensor fusion; game theory; image sensors; modules integration; game theory; intelligent sensor system; noncooperative game; image analysis; modular systems; multiobjective decision making
CITATION
H.I. Bozma, J.S. Duncan, "A Game-Theoretic Approach to Integration of Modules", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.16, no. 11, pp. 1074-1086, November 1994, doi:10.1109/34.334387
489 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool