E-Book, Englisch, Band 14282, 554 Seiten, eBook
Malvone / Murano Multi-Agent Systems
1. Auflage 2023
ISBN: 978-3-031-43264-4
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
20th European Conference, EUMAS 2023, Naples, Italy, September 14–15, 2023, Proceedings
E-Book, Englisch, Band 14282, 554 Seiten, eBook
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-031-43264-4
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Multiple Attribute List Aggregation: Its Application to Democratic Playlist Editing.- On the Graph Theory of Majority Illusions.- Qualitative Uncertainty Reasoning in AgentSpeak.- JaKtA: BDI agent-oriented programming in pure Kotlin.- Integrating Ontologies and Cognitive Conversational Agents in On2Conv.- Exploiting Reward Machines with Deep Reinforcement Learning in Continuous Action Domains.- A Comprehensive Presentation of the Jadescript Agent-Oriented Programming Language.- Verifying Programs by Bounded Tree-width Behavior Graphs.- Behavioral QLTL.- Lorenzen-style strategies as proof-search strategies.- SHAPE: A Framework for Evaluating the Ethicality of Influence.- Modelling Group Performance in Educational Multiagent Systems: Introducing the CollabQuest Simulation Game.- Towards Developing an Agent-based Model of Price Competition in the European Pharmaceutical Parallel Trade Market.- Using a BDI Agent to Represent a Human on the Factory Floor of the ARIAC 2023 Industrial Automation Competition.- Symbolic LTLf Best-Effort Synthesis.- Robust Explanations for Human-Neural Multi-agent Systems with Formal Verification.- LTLf Synthesis Under Environment Specifications for Reachability and Safety Properties.- Logic-based approximations of preferences.- A Comparative Analysis of Multi-Agent Simulation Platforms for Energy and Mobility Management.- Observational Preorders for Alternating Transition Systems.- Synthesising Reward Machines for Cooperative Multi-Agent Reinforcement Learning.- Adaptive Cognitive Agents: Updating Action Descriptions and Plans.- Pretty Good Strategies and Where to Find Them.- A multi-agent Sudoku using the wave function collapse.