"John McCreery" writes: : On 2/27/06, Teemu Pyyluoma <teme17@xxxxxxxxx> wrote: : : > This is pretty much what Peirce once wrote on the : > habits, with few differences though. Klein, wisely in : > my opinion, concentrates on one type of situation, : > while Peirce was developing a more general explanatory : > framework. Big difference however is that in the : > Peircean explanation, people choose and compare : > habits, while in Klein's case "they just move to next : > one." I find the latter unsatisfactory, if the : > soldiers model fails certainly he just doesn't move to : > to the next one if it is the model for ordering at : > McDonald's? : > : > : : Teemu, you're right."Moving to the next one" isn't as casual as my : phrasing made it sound. What's involved is a pattern recognition and : evaluation process which moves the decider as quickly as possible to : the next plausible model based on the evidence in hand. This still : isn't, however, the rational choice approach of considering all : possible models and trying to select the one which is best. It is : choosing the first in line which (under some set of heuristics) : suffices to account for the situation and shape a different response : i.e., an example of what artificial intelligence/cognitive scientific : types call satisficing as opposed to optimizing behavior. Is the process you describe really what is normally meant by satisficing? I thought that satisficing involves finding a satisfactory result and then not wasting time and resources trying to find a better one. It seems to me that what you have described is more like what experienced chess players do as contrasted with what a computer program that "plays" chess does. -- Peter D. Junger--Case Western Reserve University Law School--Cleveland, OH EMAIL: junger@xxxxxxxxxxxxxxxxxxxx URL: http://samsara.law.cwru.edu ------------------------------------------------------------------ To change your Lit-Ideas settings (subscribe/unsub, vacation on/off, digest on/off), visit www.andreas.com/faq-lit-ideas.html