| Abstrakt: |
Chaos theory is a relatively new way of studying dynamical systems, especially within the social sciences. While difficult to define, chaos has the fundamental characteristics of sensitivity to initial conditions and a lack of predictability. Hence, analyzing a time series can provide a considerable amount of information that can then be examined to deduce the dynamics of a system. In this paper, we use several known tests to assess the existence of chaos in human decision making - the correlation dimension, the Lyapunov exponent, the Iterated Function System (IFS) Clumpiness test, and Fourier analysis. The results suggest that strong evidence exists that human decision making behavior exhibits the characteristics of a chaotic system. [ABSTRACT FROM AUTHOR] |
