The weather was great and therefore Karen and I decided to pick peaches nearby on a farm in Crozet, VA. It's a lot of fun and one can eat as many peaches "on the job" as you can. For economists, this is a nice example of real-life decreasing marginal utility: after 5 peaches one barely has an interest in another one :-)
Monday, July 30, 2007
Peach picking
The weather was great and therefore Karen and I decided to pick peaches nearby on a farm in Crozet, VA. It's a lot of fun and one can eat as many peaches "on the job" as you can. For economists, this is a nice example of real-life decreasing marginal utility: after 5 peaches one barely has an interest in another one :-)
Thursday, July 12, 2007
Cookies and What-you-see-is-what-you-get
Q: Are you aware of different perceptions?
Source: Stumbling on happiness, 2007.
Wednesday, June 13, 2007
Open Source & The Cathedral
Thursday, June 07, 2007
Eric Schmitz's hiring lesson
Monday, June 04, 2007
Tuesday, May 29, 2007
Building true teams
The scientists sought to compare successful teams with less successful ones, and figure out exactly how they differed in composition. They focused on a few academic fields, defining successful teams as those whose papers were most frequently cited. They also looked at the annals of Broadway musicals over the past century and studied how the mix of composers, lyricists, directors and so forth correlated with the success of the production, measured in terms of the number of weeks a production ran before closing.
What they found was that the most successful teams did two things right. First, they attracted a mixture of experienced people and those who were newcomers to whichever field they were in. That's not surprising—the need for fresh blood has long been recognized as an important ingredient in success. The second criterion, though, was far less obvious. What successful teams had in common was at least a few experienced members who had never collaborated with each other. "People have a tendency to want to work with their friends—people they've worked with before," says Luis Amaral, a physicist at Northwestern and a coauthor. "That's exactly the wrong thing to do."
Source: True Teamwork, Fred Guterl, Newsweek International.
What is strategy
Quote: Tiha von Ghyczy
City for a newspaper
That's a classic example for changing "the rules of the game". Which rules can you change?
Monday, May 28, 2007
Ants & Algorithms
In the real world, ants (initially) wander randomly, and upon finding food return to their colony while laying down pheromone trails. If other ants find such a path, they are likely not to keep travelling at random, but to instead follow the trail, returning and reinforcing it if they eventually find food (see Ant communication and behavior).
Over time, however, the pheromone trail starts to evaporate, thus reducing its attractive strength. The more time it takes for an ant to travel down the path and back again, the more time the pheromones have to evaporate. A short path, by comparison, gets marched over faster, and thus the pheromone density remains high as it is laid on the path as fast as it can evaporate. Pheromone evaporation has also the advantage of avoiding the convergence to a locally optimal solution. If there were no evaporation at all, the paths chosen by the first ants would tend to be excessively attractive to the following ones. In that case, the exploration of the solution space would be constrained.
Thus, when one ant finds a good (short, in other words) path from the colony to a food source, other ants are more likely to follow that path, and positive feedback eventually leaves all the ants following a single path. The idea of the ant colony algorithm is to mimic this behavior with "simulated ants" walking around the graph representing the problem to solve.
Ant colony optimization algorithms have been used to produce near-optimal solutions to the travelling salesman problem. They have an advantage over simulated annealing and genetic algorithm approaches when the graph may change dynamically; the ant colony algorithm can be run continuously and adapt to changes in real time. This is of interest in network routing and urban transportation systems.
Source: WikipediaSunday, May 27, 2007
Strawberries in Virginia
Karen and I went strawberry picking with Ashley and Fred in Crozet just 15 miles from Charlottesville. A
The diploma
Learned helplessness
Learned helplessness is a psychological condition in which an animal has learned to believe that it is helpless. It has come to believe that it has no control over its situation and that whatever it does is futile. As a result, the animal will stay passive in the face of an unpleasant, harmful or damaging situation, even when it does actually have the power to change its circumstances. Learned helplessness theory is the view that depression results from a perceived lack of control over the events in one's life, which may result from prior exposure to (actually or apparently) uncontrollable negative events.
Source: Wikipedia
Favorite readings
These are some of my favorite readings and those that I have collected over time:
American Law in a global context
Bargaining for advantage
Clausewitz on strategy
Cashflow quadrant
Deals from Hell
First things first
Getting to Yes
Good to great
Mergers and Acquisitions (Brunner)
Business readings
Rich dad poor dad
The five dysfunctions of a team
The paradox of choice
In search of excellence
Principles of General Management
The fifths element
The Winner-Take-All-Society
Why smart executives fail
A Short History of Nearly Everything
Blink
Driven: How Human Nature Shapes Our Choices
Influence: The Psychology of Persuasion
The Tipping Point
The end of poverty
The elegant universe
The Evolution of Cooperation
All I could get
The namesake
Never let me go
Authentic Happiness
A user’s guide to the brain
Choice theory
Level three leadership
Man’s search for meaning
Primal leadership
Social Intelligence
The principles of psychology
The evolving self
Why we do what we do
Why we buy
Monday, January 15, 2007
Salt the organization
2) This transfers culture
3) Bring people early on together (in seminars, training, leadership development sessions)
Source: Charles Cooley
1) Treat everyone the same no matter how long with the company (10 minutes or 10 years)
Source: Hugh McColl

