TY - JOUR
T1 - A Reference Architecture of Human Cyber-Physical Systems – Part III
T2 - Semantic Foundations
AU - Damm, Werner
AU - Fränzle, Martin
AU - Kerscher, Alyssa J.
AU - Laine, Forrest
AU - Bengler, Klaus
AU - Biebl, Bianca
AU - Hagemann, Willem
AU - Held, Moritz
AU - Hess, David
AU - Ihme, Klas
AU - Kacianka, Severin
AU - Lehnhoff, Sebastian
AU - Luedtke, Andreas
AU - Pretschner, Alexander
AU - Rakow, Astrid
AU - Rieger, Jochem
AU - Sonntag, Daniel
AU - Sztipanovits, Janos
AU - Schwammberger, Maike
AU - Schweda, Mark
AU - Trende, Alexander
AU - Unni, Anirudh
AU - Veith, Eric
N1 - Publisher Copyright:
© 2024 Association for Computing Machinery. All rights reserved.
PY - 2024/1/14
Y1 - 2024/1/14
N2 - 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.
AB - 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.
KW - Cyber-physical systems
KW - formal semantics
KW - game theory
KW - human cyber-physical systems
KW - hybrid discrete-continuous dynamics
KW - reference architecture
UR - http://www.scopus.com/inward/record.url?scp=85184782091&partnerID=8YFLogxK
U2 - 10.1145/3622881
DO - 10.1145/3622881
M3 - Article
AN - SCOPUS:85184782091
SN - 2378-962X
VL - 8
JO - ACM Transactions on Cyber-Physical Systems
JF - ACM Transactions on Cyber-Physical Systems
IS - 1
M1 - 4
ER -