Date: Wed, 01 Dec 1999 14:37:23 +0000 Message-Id: <199912011438.OAA13124@alpheratz.cpm.aca.mmu.ac.uk> To: bogus From: firstname.lastname@example.org (the Campaign for Real Economics) Subject: CAMREC: MABS2000 CfP In-Reply-To: <CAMREC: Interesting site: econophysics>
To: CAMREC list members <email@example.com>
From: the Campaign for Real Economics <firstname.lastname@example.org>
Date: Wed, 01 Dec 1999 14:37:23 +0000
Subject: CAMREC: MABS2000 CfP
camrec subscribers are likely to be interested in the second Multi Agent
Based Simulation workshop in Boston next July. Agent based social
simulation is different from computational economics in that it does not
relate in any way to prevailing economic models or methodologies. You
will not find, for example, game theoretic approaches or utility
The html, pdf and PostScript versions of the call for papers is at
The text version follows.
-- Professor Scott Moss Director Centre for Policy Modelling Manchester Metropolitan University Aytoun Building Manchester M1 3GH UNITED KINGDOM
MABS2000 The Second Workshop on Multi Agent Based Simulation One day in period 7-9 July, 2000 (ICMAS organisers have not said which day)
CALL FOR PAPERS
The first MABS workshop, at the last ICMAS, had as its aim "to develop stronger links between those working in the social sciences, for whom agent based simulation has the potential to be a valuable research tool, and those involved with multi-agent simulation, for whom the social sciences can provide useful theories and exemplars." Since that workshop, discussions among social scientists and computer scientists in the multiagent systems community (for example in AgentLink, the European network of excellence for MAS research) have helped to focus the exploration of how representational social simulation and associated methodologies can inform the specification of agents and support the analysis of emergent properties of large-scale complex systems.
In addition, there is a growing awareness of the promise and power of agent based modelling in the analysis of policy alternatives for such complex social issues as climate change where highly complex physical, biological and social systems all interact. Natural scientists working in this field have found that conventional economic models are not useful. The promise of representational agent based social simulation here is that the models are based on observation and historical evidence. Other policy areas where agent based simulation has a longer history include urban traffic schemes to reduce congestion, private car use and the like as well as safety -related issues such as evacuation schemes.
Verification and validation methodologies for complex, large-scale systems, developed both by computer scientists and social scientists, are deemed appropriate for the analysis of the social causes and consequences of climate change and related phenomena. It would be surprising if developments in the modelling of complex social environments, particularly relating to issues of verification and validation, were not usefully to inform the validation and verification of software designs for such complicated systems as federated databases and the internet.
The purpose of MABS2000 will be to provide a forum for reporting these approaches to the wider agent based simulation and MAS communities, for demonstrating and evaluating their power and for identifying promising lines of future development.
ICMAS has imposed a limit of 35 participants in MABS2000. In consequence, the workshop will be small, informal and concentrated on discussion with relatively short presentations of previously circulated papers. The focus, the size and the expected quality of papers and discussion offer the opportunity for MABS2000 to be a watershed event in the development of agent based social simulation.
While MABS2000 should reflect the broad range of agent based social simulation research, it is intended to devise a programme that complements the programmes of the other ICMAS workshops as well as extending applications of agent technology in the areas of simulation and social research. While papers reporting results using formally specified agents such as agents represented by BDI, deontic and other logics are always welcome, those that implement such agents to simulate social processes will be of especial interest.
Topics that will be of particular interest include those that:
* bring both formal and representational approaches to bear on a single application either by comparing or by integrating the two approaches
* identify where agent based simulation models and/or results will usefully inform the specification of, for example, infrastructure for electronic commerce, personal digital assistants (shopbots or webbots)
* demonstrate for social or other simulation environments modelling techniques and methodologies that are generally applicable to the analysis or design of complex, large-scale systems
* report software developments for agent based simulation
* address issues of socio-economic policy
* address issues of institutional (including organisational) design and the relationship of such designs to social processes
* develop and demonstrate social analogies such as the market for agent-based systems to interrogate complex or federated databases
* simulations of robot interaction
* agent based simulations of complex systems such as those for air traffic control, complex, integrated manufacturing processes, supply chains, etc.
*Programme Committee (at 30 November 1999)*
Scott Moss, Manchester Metropolitan University (chair) Kathleen Carley, Carnegie Mellon (co-chair) Paul Davidsson, University of Karlskrona/Ronneby (proceedings editor) Rob Axtell, The Brookings Institution, Washington Magnus Boman, Stockholm University Rosaria Conte, CNR-IP, Rome Kerstin Dautenhahn, University of Reading Keith Decker, University of Delaware Jim Doran, University of Essex Bruce Edmonds, Manchester Metropolitan University Nigel Gilbert, University of Surrey Jaime Sichmann, University of Sao Paolo Klaus Troitzsch, University of Koblenz
*Submission of papers*
Each submission must include the full paper (up to 15 pages), a separate title page with the title, a 300-400 word abstract, a list of keywords, authors (names, addresses, email addresses, telephone and fax numbers). You may submit your paper by Electronic Mail in PostScript or PDF format or four hard copies by post.
Electronic submissions to Scott Moss at email@example.com
Hard copy submissions to Scott Moss, Centre for Policy Modelling, Manchester Metropolitan University, Manchester M1 3GH, United Kingdom.
February 15, 2000: Submission of full papers.
March 28, 2000: Notification of acceptances
May 1, 2000: Deadline for submission of final versions of accepted papers
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