MAS&S 2018 - 12th International Workshop on Multi-Agent Systems and Simulation

Multi-Agent Systems (MASs) provide powerful models for representing both real-world systems and applications with an appropriate degree of complexity and dynamics. MASs are designed for representing systems at different levels of complexity. They use agents as autonomous, goal-driven and interacting entities, which are organized into societies that exhibit emergent properties The agent-based model of a system can then be executed to simulate the behavior of the complete system, so that knowledge of the behaviors of the entities (micro-level) produces an understanding of the overall outcome at the system-level (macro-level).
Several research and industrial experiences have already shown that the use of MASs offers advantages in a wide range of application domains (e.g. financial, economic, social, logistic, chemical, engineering, or Internet of Things). When MASs represent software applications, they need to be validated and evaluated before their deployment and execution. Thus, methodologies that support these processes through simulation of the MAS under development are highly required. In both cases (MASs as software applications and MASs as models for the analysis of complex systems), simulation plays a crucial role that needs to be further investigated.
Keywords
Agent-Based Modeling and Simulation (ABMS), Multi-Agent Systems (MAS), Model, Simulation, Agent-Oriented Software Engineering, Methodology, Case study
Topics
Agent-based simulation techniques and methodologies
Agent-based Modeling and Simulation (ABMS)
MAS simulation driven by formal models
MAS simulation toolkits and frameworks
Agent-oriented methodologies incorporating simulation tools
Testing and validation of MASs through simulation
Discrete-event simulation of MASs
Scalability in agent-based simulation
Industrial case studies based on MAS and simulation/testing
Agent-based simulation for Internet of Things
Agent-based Ambient Systems
Agent-based modeling of intelligent social phenomena
Agent Computational Economics (ACE)
Agent Computational Finance (ACF)
Agent-based simulation for energy systems
Agent-based simulation of networked systems