Track: Decision Technologies and Service Sciences
Minitrack: Multi-Agent and Intelligent Systems for Decision
----------------Support

An Agent-Based Model (ABM) is a computational model for simulating the actions and interactions of autonomous individuals in a network, with a view to assessing their effects on the system as a whole. It combines elements of game theory , complex systems , emergence , computational sociology , multi agent systems , and evolutionary programming . The models simulate the simultaneous operations of multiple agents, in an attempt to re-create and predict the actions of complex phenomena. The process is one of emergence from the lower (micro) level of systems to a higher (macro) level. The individual agents are presumed to be acting in what they perceive as their own interests, such as reproduction, economic benefit, or social status, and their knowledge is limited. ABM agents may experience "learning", adaptation, and reproduction.

This minitrack is focused on the theory and applications of multi-agent systems, intelligent and knowledge-based systems in management and for management support.

The methodologies used may be analysis or systems oriented, they may be actions research or case based, or they may be experimentally or empirically focused. Studies are favoured, which combine good theoretical results with careful empirical verifications, or good empirical problem solving with innovative theory building. A common denominator for all studies should be the design and use of multi-agent and/or intelligent or knowledge-based system and the implementation of this technology for effective and innovative management support.

Topics and research areas include, but are not limited to:
Processes of ( i ) problem solving, (ii) planning and (iii) decision making, in contexts which range from (iv) strategic management, (v) foresight and scenario planning and (vi) digital economy, to (vii) production, (viii) marketing and (ix) financial management, and to (x) smarter IS applications for operational management.

Co-chairs:
Christer Carlsson (Primary Contact)
IAMSR / Åbo Akademi University
ICT House A4053, 20520 Åbo, Finland
Email: christer.carlsson@abo.fi

Huaiqing Wang
Department of Information Systems
City University of Hong Kong
Tat Chee Avenue, Kowloon, Hong Kong SAR
Email: iswang@cityu.edu.hk