A Reference Architecture of Human Cyber-Physical Systems – Part III: Semantic Foundations

Author:

Damm Werner1ORCID,Fränzle Martin1ORCID,Kerscher Alyssa J.2ORCID,Laine Forrest2ORCID,Bengler Klaus3ORCID,Biebl Bianca3ORCID,Hagemann Willem1ORCID,Held Moritz1ORCID,Hess David2ORCID,Ihme Klas4ORCID,Kacianka Severin3ORCID,Lehnhoff Sebastian1ORCID,Luedtke Andreas5ORCID,Pretschner Alexander3ORCID,Rakow Astrid1ORCID,Rieger Jochem1ORCID,Sonntag Daniel6ORCID,Sztipanovits Janos2ORCID,Schwammberger Maike1ORCID,Schweda Mark1ORCID,Trende Alexander5ORCID,Unni Anirudh1ORCID,Veith Eric7ORCID

Affiliation:

1. Carl von Ossietzky Universität Oldenburg, Germany

2. Vanderbilt University

3. Technische Universität München

4. DLR - Institute of Transportation Systems, Braunschweig

5. DLR - Institut für Systems Engineering für Zukünftige Mobilität, Oldenburg

6. Carl von Ossietzky Universität Oldenburg und DFKI-Deutsches Forschungszentrum für Künstliche Intelligenz, Nds

7. OFFIS e. V. Oldenburg

Abstract

The design and analysis of multi-agent human cyber-physical systems in safety-critical or industry-critical domains calls for an adequate semantic foundation capable of exhaustively and rigorously describing all emergent effects in the joint dynamic behavior of the agents that are relevant to their safety and well-behavior. We present such a semantic foundation. This framework extends beyond previous approaches by extending the agent-local dynamic state beyond state components under direct control of the agent and belief about other agents (as previously suggested for understanding cooperative as well as rational behavior) to agent-local evidence and belief about the overall cooperative, competitive, or coopetitive game structure. We argue that this extension is necessary for rigorously analyzing systems of human cyber-physical systems because humans are known to employ cognitive replacement models of system dynamics that are both non-stationary and potentially incongruent. These replacement models induce visible and potentially harmful effects on their joint emergent behavior and the interaction with cyber-physical system components.

Funder

United States National Science Foundation

Office of International Science and Engineering (OISE) PIRE

Directorate of Computer and Information Science and Engineering (CISE) CPS

German Research Foundation

Assuring Individual, Social, and Cultural Embeddedness of Autonomous Cyber-Physical Systems

Publisher

Association for Computing Machinery (ACM)

Subject

Artificial Intelligence,Control and Optimization,Computer Networks and Communications,Hardware and Architecture,Human-Computer Interaction

Reference20 articles.

1. Rajeev Alur, Costas Courcoubetis, Thomas A. Henzinger, and Pei-Hsin Ho. 1993. Hybrid automata: An algorithmic approach to the specification and verification of hybrid systems. In International Hybrid Systems Workshop. Robert L. Grossman, Anil Nerode, Anders P. Ravn, and Hans Rischel (Eds.), Lecture Notes in Computer Science, Hybrid Systems, Vol. 736, Springer, Berlin, 209–229.

2. Dynamic Noncooperative Game Theory, 2nd Edition

3. ACM (Association for Computing Machinery) 2023 A reference architecture for human cyber physical systems- part II: Fundamental design principles for human-cps interaction in transactions on cyber-physical systems X(Y)

4. The vienna development method (VDM)

5. A. Guy. 1998. Boy: Cognitive function analysis. Ablex, distributed by Greenwood Publishing Group, Westport, CT.

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