EMSS 2019 Call For Papers

Agent Directed Simulation (ASD)

Track Description

The purpose of ADS session is to facilitate dissemination of the most recent advancements in the theory, methodology, application, and toolkits of agent-directed simulation which considers full synergy of simulation and agents. ADS is comprehensive in the integration of simulation and agents, by including models that use agents to develop domain-specific simulations and by also including the use of agent technology to develop simulation techniques and toolkits that are subsequently applied, either with or without agents.

Agent-directed simulation consists of three distinct, yet related areas that can be grouped under two categories as follows:

Contribution of Simulation to Agents (agent simulation): Simulation of agent-based systems in science, engineering, human and social dynamics, military applications etc.
Contribution of Agents to Simulation (which consists of two group activities):

Agent-supported simulation which deals with the use of agents as a support facility (in front-end as well as back-end user-system interfaces) to enable computer assistance in problem solving or enhancing cognitive capabilities of modeling and simulation system (such as understanding and learning abilities);
Agent-monitored simulation which focuses on the use of agents during run time activities including the generation of model behavior, agent-triggered simulation and monitoring simulation models and/or experimental conditions during run-time.

Topics list:

Technical and position papers are solicited on the theory, methodology, technology, tools, toolkits, and environments as well as applications. Topics include, but are not limited to the following areas:

Theory/Methodology:

High-level agent specification languages for modeling and simulation.
Agent programming and simulation modeling languages.
Agent programming and simulation modeling languages.
Distributed simulation for multi-agent systems.
Formal models of agents and agent societies.
Advanced agent features for agent simulation.
Cooperation modeling with holonic agents.
Agent with personality, agents with dynamic personality, agent with emotions, agents having different types of intelligence such as emotional intelligence, agents with several types of understanding abilities such as multi-vision understanding ability, trustworthy agents, moral agents.
Verification, validation, and testing of agent-directed simulations.
Assurance of ethical behavior in agent-based models.
Detection of unethical behavior of other agent-based models.

Technology, tools, toolkits, and environments:

Agent infrastructures and supporting technologies (e.g., interoperability, agent-oriented software engineering environments).
Modeling, design, and simulation of agent systems based on service-oriented technologies, pervasive computing, web-services, grid computing, autonomic computing, ambient intelligence.
Agent architectures, platforms, and frameworks.
Standard APIs for agent simulation programming.

Applications:

Simulation modeling of agent technologies at the organization, interaction (e.g., communication, negotiation, coordination, collaboration) and agent level (e.g., deliberation, social agents, computational autonomy).
Application of agent simulations in various areas such as biology, business, commerce, economy, engineering, environment, individual, group, and organization behavior, management, simulation gaming/training, science, and social systems.

For further information please contact Yu Zhang and Tuncer I. Ören

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