Dynamic context-sensitive deliberation
2024 (Engelska)Ingår i: Multi-Agent-Based simulation XXIV: 24th International workshop, MABS 2023 London, UK, May 29 – June 2, 2023 Revised selected papers / [ed] Luis G. Nardin; Sara Mehryar, Springer Nature, 2024, s. 112-126Kapitel i bok, del av antologi (Refereegranskat)
Abstract [en]
Truly realistic models for policy making require multiple aspects of life, realistic social behaviour and the ability to simulate millions of agents. Current state of the art Agent-based models only achieve two of these requirements. Models that prioritise realistic social behaviour are not easily scalable because the complex deliberation takes into account all information available at each time step for each agent. Our framework uses context to considerably narrow down the information that has to be considered. A key property of the framework is that it can dynamically slide between fast deliberation and complex deliberation. Context is expanded based on necessity. We introduce the elements of the framework, describe the architecture and show a proof-of-concept implementation. We give first steps towards validation using this implementation.
Ort, förlag, år, upplaga, sidor
Springer Nature, 2024. s. 112-126
Serie
Lecture Notes in Artificial Intelligence, ISSN 03029743, E-ISSN 16113349 ; 14558
Nyckelord [en]
Decision Context, Deliberation, Realism, Scalability, Social agents
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
URN: urn:nbn:se:umu:diva-225518DOI: 10.1007/978-3-031-61034-9_8Scopus ID: 2-s2.0-85194088420ISBN: 9783031610332 (tryckt)ISBN: 9783031610349 (digital)OAI: oai:DiVA.org:umu-225518DiVA, id: diva2:1867836
Konferens
24th International Workshop, MABS 2023, London, UK, May 29 - June 2, 2023
Forskningsfinansiär
Wallenberg AI, Autonomous Systems and Software Program (WASP)
Anmärkning
Included in the following conference series:
International Workshop on Multi-Agent Systems and Agent-Based Simulation
2024-06-112024-06-112024-06-11Bibliografiskt granskad