Searching far away from the lamp-post:An agent-based model
| Autor: | Oana Vuculescu |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Agent-based model
business.industry Computer science Strategy and Management 05 social sciences Education Task (project management) 03 medical and health sciences 0302 clinical medicine Knowledge creation 0502 economics and business Industrial relations Artificial intelligence Business and International Management Laboratory experiment business 050203 business & management 030217 neurology & neurosurgery Evolutionary theory Human Problem Solving |
| Zdroj: | Vuculescu, O 2017, ' Searching far away from the lamp-post : An agent-based model ', Strategic Organization, vol. 15, no. 2, pp. 242-263 . https://doi.org/10.1177/1476127016669869 |
| DOI: | 10.1177/1476127016669869 |
| Popis: | This article presents insights from a laboratory experiment on human problem solving in a combinatorial task. I rely on a hierarchical rugged landscape to explore how human problem-solvers are able to detect and exploit patterns in their search for an optimal solution. Empirical findings suggest that solvers do not engage only in local and random distant search, but as they accumulate information about the problem structure, solvers make ‘model-based’ moves, a type of cognitive search. I then calibrate an agent-based model of search to analyse and interpret the findings from the experimental setup and discuss implications for organizational search. Simulation results show that, for non-trivial problems, performance can be increased by a low level of persistence, that is, an increased likelihood to quickly abandon unsuccessful paths. |
| Databáze: | OpenAIRE |
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