- From: Yu Zhang <yzhang@CS.Trinity.Edu>
- Date: Wed, 21 Oct 2015 12:27:43 -0500 (CDT)
- To: yzhang@trinity.edu
- Message-ID: <alpine.LRH.2.10.1510211157460.17707@dias01.cs.trinity.edu>
/**********************************************************************/ International Journal of Modeling, Simulation, and Scientific Computing http://www.worldscientific.com/worldscinet/ijmssc Call for Papers Special Issue on Agent-Directed Simulation Extended Deadline: 01/15/2016 /**********************************************************************/ Agent-directed simulation considers full synergistic relations of the modeling and simulation discipline with software agents. It consists of three distinct, yet related areas that can be grouped under two categories as follows: * Contribution of simulation to agents (or agent simulation). This is simulation of agent systems in engineering, human and social dynamics, military applications etc. (It is commonly called "agent-based simulation" when the other aspects of the synergy are not taken into account.) * Contribution of agents to simulation which has two aspects. 1. Agent-supported simulation which deals with the use of agents as a support facility in front-end and/or in back-end interfaces of modeling and simulation environments to enable computer assistance in problem formulation as well as in selection, explanation, and/or visualisation of the results; and 2. Agent-based simulation (or agent-monitored or agent mediated simulation) that focuses on the use of agents for and/or during the generation of model behavior in a simulation study. Topics for this Special Issue include but are not limited to the following: Theory/methodology * High-level (declarative and customizable) agent specification languages for modeling and simulation. * Distributed simulation for multi-agent systems. * Formal models of agents and agent societies. * Advanced agent features for agent-directed simulation: e.g.: 1. Holonic agents for cooperation and coopetition modeling and simulation. 2. Agents with personality, agents with dynamic personality, agents with emotions, agents having different types of intelligence such as emotional intelligence, agents with multi-intelligence. 3. Influence of cultural backgrounds in agent-directed simulation. 4. Agents with several types of understanding abilities such as multi-vision and switchable understanding abilities, trustworthy agents, and moral agents in simulation. 5. Agent-based simulation to monitor multi-simulation studies. 6. Agents in design and monitoring of simulation experiments and analysis of results. 7. Verification, validation, testing; quality assurance; as well as failure avoidance in agent-directed simulations. 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, cloud 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 organizational behavior, management, simulation gaming/training, social systems. * Conflict management simulation with holonic agents. * Modeling and simulation of emergence. * Simulation-based anticipatory displays for socio-economic systems. The theme of this Special Issue is based on the observation of the following premises: * The use of emergent agent technologies at the organization, interaction (e.g., coordination, negotiation, communication) and agent levels (i.e. reasoning, autonomy) are expected to advance the state of the art in various application domains. However, modeling and testing complex agent systems that are based on such technologies is difficult. Using agent-supported simulation techniques for testing complex agent systems is up and a coming field. * The growth of new advanced computing and communication possibilities along with the rapid rise of e-commerce, cloud computing, Internet of things are providing a new context that acts as a critical driver for the development of next generation systems. These standards revolve around service-oriented technologies, pervasive computing, web-services, Grid, autonomic computing, ambient intelligence etc. The supporting role that intelligent agents play in the development of such systems is becoming pervasive, and simulation plays a critical role in the analysis and design of such systems. * To facilitate bridging the gap between research and application, there is a need for high-level agent specification languages, methodologies, and tools for all three categories of agent-directed simulation. Existing agent-based simulation tools are still not mature enough to enable developing agents with varying degrees of cognitive capabilities and helping users in problem solving and providing advanced help in monitoring and mediating simulation studies. Extended Deadlines: 2016 January 15: Submission of full-length original articles (articles not submitted to other journals) 2016 February 29: Notification of acceptance 2016 March 30: Final version submission Summer 2016: Publication of the Special Issue Guest Editors: Tuncer Ören (oren@eecs.uottawa.ca) — University of Ottawa, Ottawa, Ontario, Canada Levent Yilmaz (yilmale@auburn.edu) — Auburn University, Auburn, Alabama, USA Yu Zhang (yzhang@trinity.edu) — Trinity University, San Antonio, Texas, USA
Received on Wednesday, 21 October 2015 18:10:37 UTC