Posts Tagged emergence

Multifinality constraints – ends and means

Lumber

Lots of ends here

Quite a few of the journal articles I scan in order to generate material for this blog get filed under “Well, duh!”. They usually report studies that have gone to great lengths to prove something that was blindingly obvious to anyone with common sense. To be fair, these studies can be completely valid; they are providing concrete evidence for things we assume to be true. However, they don’t really make for interesting blog posts — ‘Here’s proof of something you knew already’.

The article by Köpetz et al. (2011) could easily fall into that category. The findings are not exactly startling. Here’s the abstract:

In the presence of several objectives, goal conflict may be avoided via multifinal means, which advance all of the active goals at once. Because such means observe multiple constraints, they are fewer in number than the unconstrained means to a single goal. Five experimental studies investigated the process of choosing or generating such means for multiple goals. We found that the simultaneous activation of multiple goals restricted the set of acceptable means to ones that benefitted (or at least, did not harm) the entire set of active goals. Two moderators of this phenomenon were identified: (a) the feasibility of identifying multifinal means, which was dependent on the relations between the different active goals, and (b) the enhanced importance of the focal goal, which resulted in the inhibition of its alternatives and the consequent relaxation of multifinality constraints.

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Puppies and ping-pong balls

Imagine you are in a room alone with a Ping-Pong ball. If you repeatedly drop the ball from waist height, you can be fairly confident of correctly predicting that it will fall to the ground somewhere near your feet. We call this Scenario 1.

However, suppose now that an eager ball-chasing puppy is in the room with you and also that a strong electric fan is brought into the room, placed near you, and switched on. Now, when you drop the Ping-Pong ball, how certain can you be that the ball will land near your feet. Presumably much less certain, because the puppy might catch it or the fan might blow it off course. We call this Scenario 2.

Now suppose there is a pack of eager puppies in the room and a series of electric fans; someone has opened the window and a howling gale is blowing; and, furthermore, you are now obliged to stand on an electric treadmill programmed to randomly vary its speed! Now when you drop the ball, how confident are you that it will land near your feet? Indeed, how confident are you in making any prediction about where the ball might end up? We call this Scenario 3.

Bright, J.E.H. & Pryor, R.G.L. (2005) The chaos theory of careers: A user’s guide. Career Development Quarterly, 53(4), 291–305.
Sleeping puppies

Chasing ping pong balls is very tiring!

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