Multi-Agent-Based Simulation XXIV 24th International Workshop, MABS 2023, London, UK, May 29 - June 2, 2023, Revised Selected Papers / [electronic resource] :
edited by Luis G. Nardin, Sara Mehryar.
- 1st ed. 2024.
- X, 173 p. 61 illus., 44 illus. in color. online resource.
- Lecture Notes in Artificial Intelligence, 14558 2945-9141 ; .
- Lecture Notes in Artificial Intelligence, 14558 .
MABS Methodology and Tools. -- Can (and should) Automated Surrogate Modelling be Used for Simulation Assistance?. -- Towards a Better Understanding of Agent-Based Airport Terminal Operations using Surrogate Modeling. -- Active Sensing for Epidemic State Estimation using ABM-guided Machine Learning. -- Combining Constraint-Based and Imperative Programming in MABS for More Reliable Modelling. -- Multi-Agent Financial Systems with RL: A Pension Ecosystem Case (WIP). -- MABS and Social Behavior. -- Aspects of Modeling Human Behavior in Agent-Based Social Simulation - What can We Learn from the COVID-19 Pandemic?. -- Learning Agent Goal Structures by Evolution. -- Dynamic Context-Sensitive Deliberation. -- MABS Applications. -- A Multi-Agent Simulation Model considering the Bounded Rationality of Market Participants: An Example of GENCOs Participation in the Electricity Spot Market. -- Modeling Cognitive Workload in Open-Source Communities via Simulation. -- Multi-Agent Simulation of Intelligent Resource Regulation in Integrated Energy and Mobility.
This book constitutes the refereed Proceedings of the 24th International Workshop on Multi-Agent-Based Simulation XXIV, MABS 2023, held in London, UK, during May 29-June 2, 2023. The 11 regular papers presented were carefully reviewed and selected from 27 submissions. The papers are organized in subject areas as follows: MABS methodology and tools; MABS and social behavior; and MABS applications.
9783031610349
10.1007/978-3-031-61034-9 doi
Artificial intelligence.
Social sciences--Data processing.
Application software.
Education--Data processing.
Computer networks .
Artificial Intelligence.
Computer Application in Social and Behavioral Sciences.
Computer and Information Systems Applications.
Computers and Education.
Computer Communication Networks.
Q334-342 TA347.A78
006.3
MABS Methodology and Tools. -- Can (and should) Automated Surrogate Modelling be Used for Simulation Assistance?. -- Towards a Better Understanding of Agent-Based Airport Terminal Operations using Surrogate Modeling. -- Active Sensing for Epidemic State Estimation using ABM-guided Machine Learning. -- Combining Constraint-Based and Imperative Programming in MABS for More Reliable Modelling. -- Multi-Agent Financial Systems with RL: A Pension Ecosystem Case (WIP). -- MABS and Social Behavior. -- Aspects of Modeling Human Behavior in Agent-Based Social Simulation - What can We Learn from the COVID-19 Pandemic?. -- Learning Agent Goal Structures by Evolution. -- Dynamic Context-Sensitive Deliberation. -- MABS Applications. -- A Multi-Agent Simulation Model considering the Bounded Rationality of Market Participants: An Example of GENCOs Participation in the Electricity Spot Market. -- Modeling Cognitive Workload in Open-Source Communities via Simulation. -- Multi-Agent Simulation of Intelligent Resource Regulation in Integrated Energy and Mobility.
This book constitutes the refereed Proceedings of the 24th International Workshop on Multi-Agent-Based Simulation XXIV, MABS 2023, held in London, UK, during May 29-June 2, 2023. The 11 regular papers presented were carefully reviewed and selected from 27 submissions. The papers are organized in subject areas as follows: MABS methodology and tools; MABS and social behavior; and MABS applications.
9783031610349
10.1007/978-3-031-61034-9 doi
Artificial intelligence.
Social sciences--Data processing.
Application software.
Education--Data processing.
Computer networks .
Artificial Intelligence.
Computer Application in Social and Behavioral Sciences.
Computer and Information Systems Applications.
Computers and Education.
Computer Communication Networks.
Q334-342 TA347.A78
006.3