Decision making on fitness landscapes
| Autor: | Paolo Sibani, Rudy Arthur |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Statistics and Probability Physics - Physics and Society q-bio.PE Computer science Management science Fitness landscape physics.soc-ph Monte Carlo method Populations and Evolution (q-bio.PE) FOS: Physical sciences Statistical and Nonlinear Physics Physics and Society (physics.soc-ph) Rational planning model 03 medical and health sciences NK model 030104 developmental biology FOS: Biological sciences Complexity economics Quantitative Biology - Populations and Evolution Decision model |
| Zdroj: | Arthur, R & Sibani, P 2017, ' Decision Making on Fitness Landscapes ', Physica A: Statistical Mechanics and its Applications, vol. 471, pp. 696–704 . https://doi.org/10.1016/j.physa.2016.12.068 |
| ISSN: | 0378-4371 |
| Popis: | We discuss fitness landscapes and how they can be modified to account for co-evolution. We are interested in using the landscape as a way to model rational decision making in a toy economic system. We develop a model very similar to the Tangled Nature Model of Christensen et. al. that we call the Tangled Decision Model. This is a natural setting for our discussion of co-evolutionary fitness landscapes. We use a Monte Carlo step to simulate decision making and investigate two different decision making procedures. Comment: 10 pages, 4 figures |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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