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Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

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Dimensions of modelling: Generality and integrativeness.

Jeffrey C Schank¹

¹Department of Psychology, University of California at Davis, Davis, CA 95616 jcschank@ucdavis.edu http://psychology.ucdavis.edu/Schank/

The Behavioral and Brain Sciences

|February 5, 2008

Summary

This study explores a framework for simulation models and modeling strategies. It suggests adding a dimension of "integrativeness" to better classify these complex systems.

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Area of Science:

Computational Science
Systems Modeling
Scientific Methodology

Background:

Simulation models are crucial tools in scientific research.
Existing frameworks for discussing simulation models require further development.
Webb's multi-dimensional framework provides a foundation for classification.

Purpose of the Study:

To analyze and expand upon Webb's framework for simulation models.
To introduce and justify the need for an "integrativeness" dimension.
To enhance the discussion and classification of simulation modeling strategies.

Main Methods:

Conceptual analysis of existing simulation modeling frameworks.
Discussion of the dimension of generality in modeling.
Proposal and argumentation for a new dimension: integrativeness.

Main Results:

Webb's framework is a valuable starting point but requires refinement.
The dimension of generality is important but insufficient on its own.
An additional dimension of "integrativeness" is proposed to capture model relationships.

Conclusions:

The proposed "integrativeness" dimension will improve the classification of simulation models.
Continued refinement and potential expansion of the framework are necessary as modeling evolves.
A more comprehensive framework will facilitate clearer communication and strategy development in simulation science.