Wissen gewinnen und gewinnen durch Wissen

Fent, Thomas (2000): Wissen gewinnen und gewinnen durch Wissen.

Abstract

According to Alfred Korzybski (1921) humans unlike plants and animals have the property to bind time, i.e. they are able to transfer experience through time. Humans are capable to collenct knowledge from the past and communicate their knowledge to the future. This paper investigates the possibilities and limitations to describe this capability by algorithms and implement it in artificial learning systems.

• Item Type: MPRA Paper
• Institution: Vienna University of Economics and Business Administration
• English Title: Gaining knowledge and winning with knowledge
• Language: German
• Keywords: knowledge; game theory; artificial adaptive agents; learning classifier systems; genetic algorithms
• Subjects: C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C63 - Computational Techniques ; Simulation Modeling; C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C61 - Optimization Techniques ; Programming Models ; Dynamic Analysis; C - Mathematical and Quantitative Methods > C7 - Game Theory and Bargaining Theory > C72 - Noncooperative Games; C - Mathematical and Quantitative Methods > C7 - Game Theory and Bargaining Theory > C73 - Stochastic and Dynamic Games ; Evolutionary Games ; Repeated Games

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