Monkeys, Cognitive Dissonance, and Hiding in Plain Sight

If you have taken an undergraduate psychology class, you probably have heard about the experiment where monkeys, having previously shown little or no preference between red, blue, and green M&Ms are offered them in pairs. First blue and red is offered, and the one not chosen (say blue) is offered against green. About 2/3 of the monkeys choose green. Psychologists claim this is a sign of cognitive dissonance: information is ignored or used selectively to confirm biases. If blue is not chosen in the first round, it must be “bad”, so it is less likely to be chosen in the second round. Not so fast! If the monkey does have a preference among the colors, then perhaps the monkey is acting consistently. There are six choices for an ordering of the colors:

  1. R G B

  2. R B G

  3. G B R

  4. G R B

  5. B R G

  6. B G R

Choosing Red over Blue means that cases 3, 5, and 6 do not occur. In 2 of the three remaining cases, Green is preferred to Blue!

This is reminiscent of the infamous Monty Hall problem, as explained in the New York Times, in an article covering the cognitive dissonance issue:

Here’s how Monty’s deal works, in the math problem, anyway. (On the real show it was a bit messier.) He shows you three closed doors, with a car behind one and a goat behind each of the others. If you open the one with the car, you win it. You start by picking a door, but before it’s opened Monty will always open another door to reveal a goat. Then he’ll let you open either remaining door.

Suppose you start by picking Door 1, and Monty opens Door 3 to reveal a goat. Now what should you do? Stick with Door 1 or switch to Door 2?

You should switch doors.This answer goes against our intuition that, with two unopened doors left, the odds are 50-50 that the car is behind one of them. But when you stick with Door 1, you’ll win only if your original choice was correct, which happens only 1 in 3 times on average. If you switch, you’ll win whenever your original choice was wrong, which happens 2 out of 3 times.

Unlike the Monty Hall problem, which is really not much more than a parlor game, the effect of not seeing the monkey issue is more far-reaching. A Yale economist, M. Keith Chen, who noted the issue, believes that this goes to heart of a lot of testing in psychology:

Dr. Chen remains convinced it’s a broad problem. He acknowledges that other forms of cognitive-dissonance effects have been demonstrated in different kinds of experiments, but he says the hundreds of choice-rationalization experiments since 1956 are flawed.

Even when the experimenters use more elaborate methods of measuring preferences — like asking a subject to rate items on a scale before choosing between two similarly-ranked items — Dr. Chen says the results are still suspect because researchers haven’t recognized that the choice during the experiment changes the odds. (For more of Dr. Chen’s explanation, see TierneyLab.)

It is striking that such an obvious point, and one that relies on only the most rudimentary understanding of probability, took decades to see. I wonder if ten years from now, we will be wondering about our current conundrums: “P=NP? Yeah, isn’t it amazing that the field missed the obvious fact that …” Now fill in the “…”.

Final Four based on Salaries

Payscale.com has the college basketball bracket based on median salaries of its graduates (5-10 years after graduation). Stanford ($113,000) beats Notre Dame ($99,100) in the final, with Duke ($96,800) and Georgetown ($92,500) the other two in the final four.

I always do my picks based on the quality and quantity of operations research done at the school. My final four this year were George Mason, Wisconsin, Cornell (in a tough division, beating Stanford, Kentucky, Texas, and Pittsburgh along the way) and UCLA, with Cornell winning it all. Needless to say, I won’t be getting paid this year: it appears that OR quality has, at best, a weak correlation with basketball prowess.

Ant Colonies in the Skies

“Discoveries and Breakthroughs in Science” is a producer of short TV clips on results in math and science. INFORMS is involved with them, and is seeking story ideas to pitch to them.

This month’s mathematics story is about using ant colony optimization to help run an airport, with an emphasis on the gate assignment problem.

“It’s sort of like a colony of individuals trying to move through a maze with all of the other individuals present, arriving and departing and trying to do it as fast as they can,” Douglas Lawson, Ph.D., a financial analysis manager at Southwest Airlines in Dallas, Texas, told Ivanhoe.

The software program uses swarm theory, or swarm intelligence — the idea that a colony of ants works better than one alone. Each pilot acts like an ant searching for the best airport gate. “The pilot learns from his experience what’s the best for him, and it turns out that that’s the best solution for the airline,” Dr. Lawson explains.

I’m not a huge fan of Ant Colony Optimization: it has always seemed overblown to me. But the proof is in the results, so if this does work better than alternative approaches, then that’s great. I have not found Lawson’s work on this on the web, but gate assignment has been tried with ACO (see here and here) and other forms of swarm intelligence, and Lawson is the “Manager of Process, Forecasting, and Simulations” at Southwest, an admirable airline, so it is interesting to see him using this in practice.

One thing bothered me and one thing I found humorous. First, Lawson and his team are described as “financial analysts”. Is the “Manager of Process, Forecasting and Simulations” a financial analyst? My guess is that the TV producers decided not to make the big step and call him “operations researcher” so they went with a word they thought the audience would know.

The humorous part comes in the background information where they describe swarm intelligence:

HOW DO SWARMS OPERATE? How do ants find a route to a food source? Each ant follows the strongest pheromone (chemical) trail left by other ants. If this process is repeated frequently enough, they will find the best route through trial and error. If ants become isolated from their group, they end up running around in circles, following their own pheromone trail until they die of exhaustion. This behavior, called “swarm intelligence,” …

I would hate to be on the plane that gets separated from the others!