Multi-Agent-Based Simulation XXI 21st International Workshop, MABS 2020, Auckland, New Zealand, May 10, 2020, Revised Selected Papers /
Multi-Agent-Based Simulation XXI 21st International Workshop, MABS 2020, Auckland, New Zealand, May 10, 2020, Revised Selected Papers / [electronic resource] :
edited by Samarth Swarup, Bastin Tony Roy Savarimuthu.
- 1st ed. 2021.
- IX, 107 p. 43 illus., 40 illus. in color. online resource.
- Lecture Notes in Artificial Intelligence, 12316 2945-9141 ; .
- Lecture Notes in Artificial Intelligence, 12316 .
Adaptivity in distributed agent-based simulation: A generic load-balancing approach -- Trajectory Modelling in Shared Spaces: Expert-Based vs. Deep Learning Approach? -- Towards Agent-Based Traffic Simulation Using Live Data from Sensors for Smart Cities -- Design and Evaluations of Multi-Agent Simulation Model for Electric Power Sharing among Households -- Active Screening on Recurrent Diseases Contact Networks with Uncertainty: a Reinforcement Learning Approach -- Impact of meta-roles on the evolution of organizational institutions -- Optimization of Large-scale Agent-based Simulations through Automated Abstraction and Simplification -- Improved Travel Demand Modeling with Synthetic Populations.
This book constitutes the thoroughly refereed post-conference proceedings of the 20th International Workshop on Multi-Agent-Based Simulation, MABS 2020, held in Auckland, New Zealand, in May 2020 collocated with 19th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2020). Due to COVID-19 the workshop has been held online. The 9 revised full papers included in this volume were carefully selected from 11 submissions. The workshop focused on finding efficient solutions to model complex social systems, in such areas as economics, management, organizational and social sciences in general and much more. .
9783030668884
10.1007/978-3-030-66888-4 doi
Artificial intelligence.
Coding theory.
Information theory.
Social sciences--Data processing.
Software engineering.
Application software.
Computer engineering.
Computer networks .
Artificial Intelligence.
Coding and Information Theory.
Computer Application in Social and Behavioral Sciences.
Software Engineering.
Computer and Information Systems Applications.
Computer Engineering and Networks.
Q334-342 TA347.A78
006.3
Adaptivity in distributed agent-based simulation: A generic load-balancing approach -- Trajectory Modelling in Shared Spaces: Expert-Based vs. Deep Learning Approach? -- Towards Agent-Based Traffic Simulation Using Live Data from Sensors for Smart Cities -- Design and Evaluations of Multi-Agent Simulation Model for Electric Power Sharing among Households -- Active Screening on Recurrent Diseases Contact Networks with Uncertainty: a Reinforcement Learning Approach -- Impact of meta-roles on the evolution of organizational institutions -- Optimization of Large-scale Agent-based Simulations through Automated Abstraction and Simplification -- Improved Travel Demand Modeling with Synthetic Populations.
This book constitutes the thoroughly refereed post-conference proceedings of the 20th International Workshop on Multi-Agent-Based Simulation, MABS 2020, held in Auckland, New Zealand, in May 2020 collocated with 19th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2020). Due to COVID-19 the workshop has been held online. The 9 revised full papers included in this volume were carefully selected from 11 submissions. The workshop focused on finding efficient solutions to model complex social systems, in such areas as economics, management, organizational and social sciences in general and much more. .
9783030668884
10.1007/978-3-030-66888-4 doi
Artificial intelligence.
Coding theory.
Information theory.
Social sciences--Data processing.
Software engineering.
Application software.
Computer engineering.
Computer networks .
Artificial Intelligence.
Coding and Information Theory.
Computer Application in Social and Behavioral Sciences.
Software Engineering.
Computer and Information Systems Applications.
Computer Engineering and Networks.
Q334-342 TA347.A78
006.3