Heuristic reasoning about uncertainty: an artificial intelligence approach
Heuristic reasoning about uncertainty: an artificial intelligence approach
Unified theories of cognition
SDML: A Multi-Agent Language for Organizational Modelling
Computational & Mathematical Organization Theory
The Use of Models - Making MABS More Informative
MABS '00 Proceedings of the Second International Workshop on Multi-Agent-Based Simulation-Revised and Additional Papers
Computerized Simulation in the Social Sciences
Simulation and Gaming
| Hi-index | 0.00 |
The purpose of this paper is to propose and describe an alternative to an overarching theory for social simulation research. The approach is an analogy of the canonical matrix. Canonical matrices are matrices of a standard form and there are transformations that can be performed on other matrices to show that they can be made into canonical matrices. All matrices which, by means of allowable operations, can be transformed into a canonical matrix have the properties of the canonical matrix. This conception of canonicity is applied to three models in the computational organization theory literature. The models are mapped into their respective canonical forms. The canonical forms are shown to be transitively subsumptive (i.e., one of them is “nested” within a second which itself is “nested” within the third. The consequences of these subsumption relations are investigated by means of simulation experiments.