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Abstract

The paper provides a first attempt to formalize Systems of Systems based on game theory and Multi-Agent Systems. We propose to use control agents to enforce joint strategies, which solve problems arising from the unconstrained interaction of autonomous agents and where Nash equilibria are sub optimal. In essence, in the resulting systems new solutions emerge, evolving in Systems of Systems that can form hierarchies. In addition, we present a learning algorithm that allows the resulting Systems of Systems to adapt to varying conditions and uncertainty -in the strategies the constituents follow and/or in their payoffs. The paper presents mechanisms to formalize Systems of Systems and their two main characteristics, namely, emergence and adaptability.

Publication Type:	Conference or Workshop Item (Paper)
Additional Information:	© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Publisher Keywords:	multi-agent systems; system of systems; autonomous agents; adaptive systems; emergence
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments:	School of Science & Technology > Computer Science

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