Evolving novel organizational forms

Research output: Contribution to conferencePaperpeer-review


Computer simulations of organizations may provide a technique for discovering novel organizational forms, for example, forms that rely on extensive use of information technology. In this paper, I suggest the use of genetic algorithms to evolve organizational forms. Use of a genetic algorithm raises two key issues: representation and evaluation. I suggest representing an organization as a collection of individuals, whichare in turn collections of routines for actions. I illustrate this approach by identifying relevant routines in a simple modelof a task processing organization; other kinds of organizations could be represented by using different routines.

Original languageEnglish (US)
Number of pages8
StatePublished - 1994
Externally publishedYes
Event1994 AAAI Spring Symposium - Palo Alto, United States
Duration: Mar 21 1994Mar 23 1994


Conference1994 AAAI Spring Symposium
Country/TerritoryUnited States
CityPalo Alto

ASJC Scopus subject areas

  • Artificial Intelligence


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