The Rational Unified Process: An Introduction, Second Edition
The Rational Unified Process: An Introduction, Second Edition
Introduction to Multiagent Systems
Introduction to Multiagent Systems
Simulation for the Social Scientist
Simulation for the Social Scientist
A Guide To The Project Management Body Of Knowledge (PMBOK Guides)
A Guide To The Project Management Body Of Knowledge (PMBOK Guides)
Information perception and price dynamics in a continuous double auction
Simulation and Gaming - Symposium: Artifact assessment versus theory testing
Design and Analysis of Experiments
Design and Analysis of Experiments
Simulation Modeling and Analysis (McGraw-Hill Series in Industrial Engineering and Management)
Simulation Modeling and Analysis (McGraw-Hill Series in Industrial Engineering and Management)
State-of-the-Art Review: A User's Guide to the Brave New World of Designing Simulation Experiments
INFORMS Journal on Computing
A Plea for (Good) Simulations: Nudging Economics Toward an Experimental Science
Simulation and Gaming
Measuring CMOT's intellectual structure and its development
Computational & Mathematical Organization Theory
Computational & Mathematical Organization Theory
Epistemological perspectives on simulation: overview and introduction
Computational & Mathematical Organization Theory
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This paper presents several ideas for combining experimental economics (EXP) with multi-agent simulation (MAS) more effectively. It argues that from an epistemological perspective a closer integration of both methods allows for a better use of their complementary advantages and can accelerate scientific progress. To realize this potential, we suggest an iterative, incremental procedural model as a framework for the collaboration between researchers. To further foster the integration, we recommend a higher level of documentation and standardization with respect to model and result description. An example from prediction markets research illustrates our methodological considerations. It can be shown how the suggested model and result documentations align research efforts and facilitate the transfer of results between EXP and MAS and how the procedural research model augments the scientific contributions of both methods.