The purpose of the ADS session is to facilitate dissemination of the most recent advancements in the theory, methodology, application, and toolkits of agent-directed simulation. Agent-directed simulation is comprehensive in the integration of agent and simulation technology, 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. Hence, agent-directed simulation consists of three distinct, yet related areas that can be grouped under two categories as follows:
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Simulation for Agents (agent simulation): simulation of agent systems in engineering, human and social dynamics, military applications etc.
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Agents for Simulation: agent-supported simulation deals with the use of agents as a support facility to enable computer assistance in problem solving or enhancing cognitive capabilities; agent-based simulation focuses on the use of agents for the generation of model behavior in a simulation study.
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:
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Theory/methodology:
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High-level agent specification languages for modeling and simulation.
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Agent programming and simulation modeling languages.
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Distributed simulation for multi-agent systems.
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Formal models of agents and agent societies.
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Advanced agent features for agent simulation: e.g.,
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Cooperation and coopetition modeling with holonic agents.
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Agents with personality, agents with dynamic personality, agents with emotions, agents having different types of intelligence such as emotional intelligence, agents with several types of understanding abilities such as multivision understanding ability, trustworthy agents, moral agents.
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Verification, validation, and testing of agent-directed simulations.
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Technology, tools, toolkits, and environments:
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Agent infrastructures and supporting technologies (e.g., interoperability, agent-oriented software engineering environments).
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Modeling, design, and simulation of agent systems based on service-oriented technologies, pervasive computing, web-services, grid computing, autonomic computing, ambient intelligence.
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Agent architectures, platforms, and frameworks.
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Standard APIs for agent simulation programming.
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Applications:
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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).
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Application of agent simulations in various areas such as biology, business, commerce, economy, engineering, environment, individual, group, and organization behavior, management, simulation gaming/training, social systems.
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