AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
Empirical Validation in Agent-based Models: Introduction to the Special Issue
Computational Economics
Deepening the Demographic Mechanisms in a Data-Driven Social Simulation of Moral Values Evolution
Multi-Agent-Based Simulation IX
A data-driven simulation of social values evolution
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Intelligent Decision Technologies - Engineering and management of IDTs for knowledge management systems
Mentat: a data-driven agent-based simulation of social values evolution
MABS'09 Proceedings of the 10th international conference on Multi-agent-based simulation
SBP'11 Proceedings of the 4th international conference on Social computing, behavioral-cultural modeling and prediction
Intelligent management of data driven simulations to support model building in the social sciences
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
Rich socio-cognitive agents for immersive training environments: case of NonKin Village
Autonomous Agents and Multi-Agent Systems
Using the experimental method to produce reliable self-organised systems
Engineering Self-Organising Systems
A case study in model selection for policy engineering: simulating maritime customs
AAMAS'11 Proceedings of the 10th international conference on Advanced Agent Technology
Validating ambient intelligence based ubiquitous computing systems by means of artificial societies
Information Sciences: an International Journal
Complex systems modeling for supply and demand in health and social care
Proceedings of the Winter Simulation Conference
Validating agent based social systems models
Proceedings of the Winter Simulation Conference
Online analysis and visualization of agent based models
ICCSA'13 Proceedings of the 13th international conference on Computational Science and Its Applications - Volume 1
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A new approach is suggested under the slogan “Keep it Descriptive Stupid” (KIDS) that encapsulates a trend in increasingly descriptive agent-based social simulation. The KIDS approach entails one starts with the simulation model that relates to the target phenomena in the most straight-forward way possible, taking into account the widest possible range of evidence, including anecdotal accounts and expert opinion. Simplification is only applied if and when the model and evidence justify this. This contrasts sharply with the KISS approach where one starts with the simplest possible model and only moves to a more complex one if forced to. An example multi-agent simulation of domestic water demand and social influence is described.