using chaos theory to explaining complex systems: 1. starting conditions matter 2. agent interactions create feedback

comprehensive review of behavioral economics, probability, and both normative and descriptive theories of judgement and decision making

setting up incentives to achieve a desired result often have unintended (or unforeseen? or unconcerned?) consequences down the line (aka, "beyond stage one")

mirror neurons fill the gap between self and other by simulating the actions of others. this imitation by the brain facilitates learning, transmission of culture, empathy, self-awareness, and language.

let me guess... small world networks (high clustering and low path length) self-organize into such structures in both the natural and man-made worlds.

rehash of his earlier book "Applied Economics: Thinking Beyond Stage One"

chimps and bonobos display complex social behavior that shed light on our own human behavior

fast and frugal heuristics allow us to make decisions that can approach perfect rationality

yay, stats

economics for the uninitiated. special emphasis on pricing and scarcity (go figure)

fun with game trees

economies work because strangers become "honorary friends"

more input on the irrationality of human financial decision making

yup, incentives matter, but knowing which incentives matter in particular situations aint so easy

NPR science reporter touches on some of the current issues confronting science. are we wrong to teach the bernouli principle as the source of the lift needed for flight? are newton's laws a better explanation?

the continued rise of capitalism has not coincided with a similar rise in democracy

All the productivity gains from the last quarter century have gone to the super-rich instead of to the working classes. The US now has the largest inequality/disparity/dispersion of income in the developed world.

unconscious communication can predict behavior