Heuristic reasoning about uncertainty: an artificial intelligence approach
Heuristic reasoning about uncertainty: an artificial intelligence approach
Analysing partner selection through exchange values
MABS'05 Proceedings of the 6th international conference on Multi-Agent-Based Simulation
Analyzing police patrol routes by simulating the physical reorganization of agents
MABS'05 Proceedings of the 6th international conference on Multi-Agent-Based Simulation
Tax compliance in a simulated heterogeneous multi-agent society
MABS'05 Proceedings of the 6th international conference on Multi-Agent-Based Simulation
Agent transport simulation for dynamic peer-to-peer networks
MABS'05 Proceedings of the 6th international conference on Multi-Agent-Based Simulation
Change your tags fast! - a necessary condition for cooperation?
MABS'04 Proceedings of the 2004 international conference on Multi-Agent and Multi-Agent-Based Simulation
Application of ontology-based tools for design of multi-agent simulation environments in economics
AsiaMS '07 Proceedings of the IASTED Asian Conference on Modelling and Simulation
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This year's MABS workshop was the sixth in a series which is intended to look at “using multi-agent models and technology in social simulation,” according to the the workshop series homepage [1]. We feel that this is an appropriate time to ask the participants and the wider community what it is that they hope to gain from this application of the technology, and more importantly, are the tools and techniques being used appropriate for achieving these aims? We are concerned that in many cases they are not, and consequently, false or misleading conclusions are being drawn from simulation results. In this paper, we focus on one particular example of this failing: the consequences of the inappropriate use of numbers. The translation of qualitative data into quantitative measures may enable the application of precise analysis, but unless the translation is done with extreme care, the analysis may simply be more precisely wrong. We conclude that as a community we need to pay careful attention to the tools and techniques that we are using, particularly when borrowing from other disciplines, to make sure that we avoid similar pitfalls in the future.