Simple inference heuristics versus complex decision machines: Introduction to special issue (1999)
Authors
Abstract
Introduces a 2-volume special issue of Minds and Machines entitled$\backslash$nSimple Inference Heuristics versus Complex Decision Machines, through$\backslash$nbriefly describing families of heuristics and the history of studying$\backslash$nsimple decision making. H. A. Simon (1990, 1956) was among the 1st$\backslash$nto recognize and systematically examine the limits of the human mind$\backslash$nand that environmental constraints required approximation methods$\backslash$nin making decisions. Numerous families of heuristics for living organisms$\backslash$nand artificial systems exist dealing with decision situations varying$\backslash$nin the amount of information available, the number of options from$\backslash$nwhich to choose, and the distribution of options in time or space.$\backslash$nFour such families include ignorance-based decision mechanisms, 1-reason$\backslash$ndecision mechanisms, elimination heuristics for multiple-option choices,$\backslash$nand satisficing heuristics for sequential choices. The papers in$\backslash$nthis special issue examine environmental structure, ways that simplicity$\backslash$ncan lead to robustness, and how simple strategies can do useful work.$\backslash$n(PsycINFO Database Record (c) 2008 APA, all rights reserved)
Bibliographic entry
Todd, P. M. (1999). Simple inference heuristics versus complex decision machines: Introduction to special issue. Minds and Machines, 9, 461-477.
Miscellaneous
| Publication year | 1999 | |
|---|---|---|
| Document type: | Article | |
| Publication status: | Published | |
| External URL: | ||
| Categories: | SatisficingEnvironment Structure | |
| Keywords: |