Phil Enns writes, "...to talk of decision-making necessarily requires reference to social circumstances." I would add that not only does it require reference to social circumstances, it makes reference to responsibility and to the aspects of the notion of 'consciousness' that are inextricably connected to the notion of responsibility. Entities which cannot have responsibility for something cannot be said to have made decisions in the same sense in which people make decisions. A boulder rolling down a mountain side does not 'decide' to kill anyone, whereas Oedipus did 'decide' to kill someone, though not explicitly his father. Moreover, it makes reference to a notion of different possible futures which, to my way of thinking, is inextricably entangled with the notion of the perpetuation of the social structures within which the possible futures are defined. If I decide to have fish tonight for dinner rather than something else, that implies that there was a future in most ways continuous with the present in which I ate something other than fish. Not only do those imagined alternative futures have most elements in common with the present, including most social elements, but the present act of considering alternative futures is itself something which the considerer's present social structures define, it's a role (I say with great trepidation) in the socially-manifested game of deciding. One other comment on this thread. Robert Paul wrote: "There's no a priori reason why an 'optimal' solution to a problem should take any more effort or cost more than a solution that's only good enough." I think I understand what Robert's getting at, but there are in fact perfectly reasonable definitions of 'optimal' and 'good enough' such that 'optimal' is demonstrably far more difficult to obtain than good enough. There's a class of relatively common business problems that demonstrably have mathematically optimal solutions but where all known techniques for solving for those mathematically optimal solutions are intractably difficult using currently known analytical techniques. In this case 'optimal' means 'best overall outcome' given some preferential weighting among the variables that are used to describe the possible outcomes, and 'good enough' means 'an outcome I can accept'. One of these, or so an operations-research friend of mine once told me, is the problem of where to place a set of warehouses given that they all have to be within a certain range of sizes. The fact that there is a minimum size of the warehouse puts a constraint on the mathematics of optimization such that the then-current techniques (this was in the mid-80's) for solving the relevant equations made them intractable. The decision-maker has the choice of hiring some more mathematicians to work harder at an approximation of an optimal solution or taking an outcome he or she is willing to accept as 'good enough'. Having said all that, though, all such problems I've encountered in my career always have a variable the reasonable range of which can swamp the effects of everything put together. Even if you had an optimal warehouse placement all figured out for Wheaties, it would be dependent on the demand pattern for Wheaties, and if all the left coasters decided Wheaties weren't organic enough for them (oh, oops, didn't mean to be casting any regional aspersions there...) all the calculations would be for naught. Which I suppose brings my example all the way back to Robert's example of the runner training just to be able to finish the Marathon. Perhaps the wise business person recognizes that 'finishing' is nine points of the game as it were. Anyway, enough for now. Regards to one and all, Eric Dean Washington DC