Index: Modeling Approaches

Modeling Approaches

Routing Summary

This folder covers how ABM compares to other modeling paradigms and how agent decision-making is formalized. Contains 2 notes.

• Need ABM vs differential equations comparison? → ABM vs Equation-Based Modeling
• Need to understand how agents make decisions? → Agent Decision Rules and Bounded Rationality

Concept Map

Concept	Note	Type	Depends On	Key Result
ABM vs equations	ABM vs Equation-Based Modeling	concept	ABM Methodology and Principles, Emergent Phenomena in ABM	ABM and DEs diverge when network topology matters
Decision rules	Agent Decision Rules and Bounded Rationality	concept	ABM Methodology and Principles	Three architectures: threshold, utility+logit, probability

Notes

• ABM vs Equation-Based Modeling — CONTAINS: product adoption value function $V(\rho )$, system dynamics formulation, mean-field vs local information, topology divergence result, comparison table
• Agent Decision Rules and Bounded Rationality — CONTAINS: threshold-based rules (CUBES), utility+logit rules (Karakaya), probability rules (Bonabeau), bounded rationality features comparison, role of stochasticity

Sources

• abm_word_of_mouth.pdf — Formal ABM vs DE comparison (Bonabeau 2002)
• abm_consumer.pdf — Logit decision model (Karakaya et al. 2011)
• abm_human_behaviour.pdf — Threshold decision model (Ben Said et al. 2002)

See Also

• Core Concepts — foundational definitions these approaches build on