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Multi-Agent-Based Simulation XXIV 24th International Workshop, MABS 2023, London, UK, May 29 – June 2, 2023, Revised Selected Papers
This book constitutes the refereed Proceedings of the 24th International Workshop on Multi-Agent-Based Simulation XXIV, MABS 2023, held in London,...
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Perception field based imitation learning for unlabeled multi-agent pathfinding
This paper proposes an imitation learning method to learn a universal agent policy for unlabeled multi-agent pathfinding (unlabeled MAPF) in grid...
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Controllability of game-based multi-agent system
We introduce a strategy matrix, a novel concept for ensuring controllability in game-based control systems (GBCSs). This graph-based condition is...
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EpiPredict: Agent-Based Modeling of Infectious Diseases
The COVID-19 pandemic highlighted the impact of emerging infectious diseases on various aspects of public life. Decision-makers in the public-health...
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Conflict-based negotiation strategy for human-agent negotiation
Day by day, human-agent negotiation becomes more and more vital to reach a socially beneficial agreement when stakeholders need to make a joint...
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Agent-based cloud simulation model for resource management
Driven by the successful service model and growing demand, cloud computing has evolved from a moderate-sized data center consisting of homogeneous...
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Agent-Based Business Process Simulation A Primer with Applications and Examples
This book provides a conceptual clarification of the interconnections between agent-based modeling and business process management (BPM) and presents...
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Multi-Agent-Based Simulation XXIII 23rd International Workshop, MABS 2022, Virtual Event, May 8–9, 2022, Revised Selected Papers
This book constitutes the thoroughly refereed and revised selected papers from the 22nd International Workshop on Multi-Agent-Based Simulation, MABS...
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Argumentation-based multi-agent distributed reasoning in dynamic and open environments
This work presents an approach for distributed and contextualized reasoning in multi-agent systems, considering environments in which agents may have...
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IAFCO: an intelligent agent-based framework for combinatorial optimization
Solving combinatorial optimization problems (COPs) poses a significant challenge in various application domains. The NP-hardness of many COPs...
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State-based episodic memory for multi-agent reinforcement learning
Multi-agent reinforcement learning (MARL) algorithms have made promising progress in recent years by leveraging the centralized training and...
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Two decades of agent-based modeling in marketing: a bibliometric analysis
Agent-based modeling has proven to be a useful simulation tool in marketing to analyze what-if scenarios and support strategic marketing decisions....
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MAIDS: malicious agent identification-based data security model for cloud environments
With the vigorous development of cloud computing, most organizations have shifted their data and applications to the cloud environment for storage,...
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Agent-based crowd simulation: an in-depth survey of determining factors for heterogeneous behavior
In recent years, the field of crowd simulation has experienced significant advancements, attributed in part to the improvement of hardware...
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Cognitive agent based fault tolerance in ubiquitous networks: a machine learning approach
Ubiquitous Networks play an essential role in accessing ubiquitous computing services at anytime, anywhere, and anyplace through computing nodes of...
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Framework for Agent-Based Multistage Application Partitioning Algorithm in Mobile Cloud Computing
The idea of computational offloading is quickly catching on in the world of mobile cloud computing (MCC). Today’s applications have heavy demands on...
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Commitment-based negotiation semantics for accountability in multi-agent systems
Negotiation is a key form of interaction in multi-agent systems. Negotiation enables agents to come to a mutual agreement about a goal or plan of...
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Embedded decision support platform based on multi-agent systems
There has been an outstanding use of memory storage of processors as current applications: Artificial Intelligence-based applications,...
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Decentralized multi-agent path finding framework and strategies based on automated negotiation
This paper introduces a negotiation framework to solve the Multi-Agent Path Finding (MAPF) Problem for self-interested agents in a decentralized...
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Learning team-based navigation: a review of deep reinforcement learning techniques for multi-agent pathfinding
Multi-agent pathfinding (MAPF) is a critical field in many large-scale robotic applications, often being the fundamental step in multi-agent systems....
