Verification & Validation of a Multi Agent Meeting Scheduling Simulation Model

The advancement in the information and communication (ICT) technologies have resulted in the improvement of number of time consuming tasks and activities. These tasks have been automated with the help of advance information and communication (ICT) technologies. The artificial intelligence and multi-agents systems have made possible to automate number of tasks which required human decisions and complex calculations. This paper presents a system design approach for the development of Multi Agent Meeting Scheduling Simulation model and the VOMAS framework have being utilized for the verification and validation (V&V) of this simulation Model. The verification and validation (V&V) of the Meeting simulation model is based on VOMAS techniques. Our technique will permit the validation of agent based simulations using (VOMAS) a Virtual Overlay Multi-agent System. This overlay multi-agent system can comprise various types of agents, which form an overlay on top of the agent based simulation model that needs to be validated. To demonstrate the effectiveness of Multi agent meeting scheduling system and VOMAS approach, the research have shown its broad applicability in a wide variety of simulation models ranging from social sciences to computer networks in spatial and non-spatial conceptual models.

[1]  Gerd Kortuem,et al.  When peer-to-peer comes face-to-face: collaborative peer-to-peer computing in mobile ad-hoc networks , 2001, Proceedings First International Conference on Peer-to-Peer Computing.

[2]  Muaz A. Niazi,et al.  A Novel Agent-Based Simulation Framework for Sensing in Complex Adaptive Environments , 2011, IEEE Sensors Journal.

[3]  Anthony Stentz,et al.  Opportunistic optimization for market-based multirobot control , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

[4]  Ciaran S O'Faircheallaigh,et al.  Making Social Impact Assessment Count: A Negotiation-based Approach for Indigenous Peoples , 1999 .

[5]  Levent Yilmaz,et al.  Validation and verification of social processes within agent-based computational organization models , 2006, Comput. Math. Organ. Theory.

[6]  Franziska Klügl-Frohnmeyer,et al.  A validation methodology for agent-based simulations , 2008, SAC.

[7]  Li Pheng Khoo,et al.  A distributed agent system for port planning and scheduling , 2011, Adv. Eng. Informatics.

[8]  A. Adam.  Whatever happened to information systems ethics? Caught between the devil and the deep blue sea , 2004 .

[9]  J.S. Carson,et al.  Model verification and validation , 2002, Proceedings of the Winter Simulation Conference.

[10]  Edmund H. Durfee,et al.  A Formal Study of Distributed Meeting Scheduling , 1998 .

[11]  Chrysanthos Dellarocas,et al.  Reputation Mechanism Design in Online Trading Environments with Pure Moral Hazard , 2005, Inf. Syst. Res..

[12]  John D. Gannon,et al.  Verification and Validation , 1997, The Computer Science and Engineering Handbook.

[13]  David E. Irwin,et al.  Balancing risk and reward in a market-based task service , 2004, Proceedings. 13th IEEE International Symposium on High performance Distributed Computing, 2004..

[14]  Nidhi Kalra,et al.  Market-Based Multirobot Coordination: A Survey and Analysis , 2006, Proceedings of the IEEE.

[15]  Stéphane Galland,et al.  Holonic Multi-Agent Systems , 2011, Self-organising Software.

[16]  Katia Sycara,et al.  Multi-Agent Meeting Scheduling: Preliminary Experimental Results , 1996 .

[17]  Cristiano Castelfranchi,et al.  Modeling Social Action for AI Agents , 1997, IJCAI.

[18]  Michael Wooldridge,et al.  Agent-based software engineering , 1997, IEE Proc. Softw. Eng..

[19]  Nalini Venkatasubramanian,et al.  Multi-Agent Simulation of Disaster Response , 2006 .

[20]  Manuela M. Veloso,et al.  Learning to Select Negotiation Strategies in Multi-agent Meeting Scheduling , 2005, EPIA.

[21]  Ivo Pereira,et al.  Tuning Meta-Heuristics Using Multi-agent Learning in a Scheduling System , 2013, Trans. Comput. Sci..

[22]  Nigel Gilbert,et al.  Computer Simulation in the Social Sciences , 1999 .

[23]  Mohammad Amin Rigi,et al.  Eliciting User Preferences in Multi-Agent Meeting Scheduling Problem , 2011, Int. J. Intell. Inf. Technol..

[24]  Timothy G. Trucano,et al.  Verification and validation. , 2005 .

[25]  Ronen I. Brafman,et al.  Distributed Heuristic Forward Search for Multi-Agent Systems , 2013, ArXiv.

[26]  Mario Kolberg,et al.  Verification & Validation of Agent Based Simulations using the VOMAS (Virtual Overlay Multi-agent System) Approach , 2009, MALLOW.

[27]  T. Logenthiran,et al.  Multi-Agent System (MAS) for short-term generation scheduling of a microgrid , 2010, 2010 IEEE International Conference on Sustainable Energy Technologies (ICSET).

[28]  Michael J. North,et al.  A Declarative Model Assembly Infrastructure for Verification and Validation , 2006, WCSS.

[29]  Bridget Rosewell,et al.  Validation and Verification of Agent-Based Models in the Social Sciences , 2009, EPOS.

[30]  Mario Kolberg,et al.  University of Stirling , 2018, The Grants Register 2019.

[31]  Gregory R. Madey,et al.  Verification and Validation of Agent-based Scientific Simulation Models , 2005 .

[32]  Milind Tambe,et al.  Coordinating occupant behavior for building energy and comfort management using multi-agent systems , 2012 .

[33]  Gilson Yukio Sato,et al.  Agent and multi-agent applications to support distributed communities of practice: a short review , 2012, Autonomous Agents and Multi-Agent Systems.

[34]  Thillainathan Logenthiran,et al.  Multi-agent system for energy resource scheduling of integrated microgrids in a distributed system , 2011 .

[35]  Andreas Lux.  A multi-agent approach towards group scheduling , 1992 .

[36]  Wei-Tek Tsai,et al.  Verification and Validation of Knowledge-Based Systems , 1999, IEEE Trans. Knowl. Data Eng..