Academic Journal
The Prospects And Limits Of Algorithms In Simulating Creative Decision Making.
| Title: | The Prospects And Limits Of Algorithms In Simulating Creative Decision Making. |
|---|---|
| Authors: | Zia, Asim1, Kauffman, Stuart2, Niiranen, Samuli3 |
| Source: | Emergence: Complexity & Organization. 2012, Vol. 14 Issue 3, p89-109. 21p. |
| Abstract: | Although different types of algorithms and Turing-complete machines that underlie agent based models have opened up new vistas of scientific discovery to simulate decision-making by heterogeneous agents in artificial societies, we argue in this paper that there are significant limits of the algorithmic approach for simulating creative decision making by intelligent agents in rapidly shifting environments and social dynamics. In particular, we elaborate upon four specific limits of algorithms: (1) the decision rule and strategy space assignment problem; (2) the "framing" or "affordances" problem; (3) the problem of translation between higher level and base (Boolean) languages; and finally (4) the problem of choosing appropriate space-time scales for assigning decision rules to intelligent agents. We propose future development of non-algorithmic information processing systems, derived from genetic algorithms and learning classiier systems on the one hand and Neurosciences and Neurobiology on the other hand, to simulate creative decision making. [ABSTRACT FROM AUTHOR] |
| Subject Terms: | *Decision making, Social dynamics, Neurobiology, Neurosciences |
| Copyright of Emergence: Complexity & Organization is the property of Emergent Publications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| ISSN: | 15213250 |
| Database: | Business Source Complete |
Availability