Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
Artificial Societies: The Computer Simulation of Social Life
Artificial Societies: The Computer Simulation of Social Life
Agent-Based Modeling vs. Equation-Based Modeling: A Case Study and Users' Guide
Proceedings of the First International Workshop on Multi-Agent Systems and Agent-Based Simulation
Heterogeneity, Stability, and Efficiency in Distributed Systems
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
Full body: The importance of the phenotype in evolution
Artificial Life
Modeling Autonomous Adaptive Agents with Functional Language for Simulations
EPIA '09 Proceedings of the 14th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
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This article studies the effect of different implementation approaches on agent-based computer models. This is accomplished via four reimplementations of a simple model of self-organization. How implementation choices "guide our hands" and lead possibly to implicit assumptions about the modeled system is also demonstrated. Furthermore, the question of what makes a model agent based is studied. An argument is made that agent-based implementation is rather a matter of degree than a binary choice.