The Value of Open Space

submitted by: vputzolu

Illustrates my senior research project on how open spaces are valued and how quantifiable models can improve this process.

The Neurochemistry of Relapse and Recovery

submitted by: addictioneducation

The reasons that people give up their compulsive use of drugs vary, but they almost always include survival. The video explains the role of memory bumps, the brain's stop and go switches using an allergy as an analogy to explain substance abuse.

A Model of Genetic Variation in Human Social Network

submitted by: dougramsey
Social networks influence the evolution of cooperation and they exhibit strikingly systematic patterns across a wide range of human contexts. Both of these facts suggest that variation in the topological attributes of human social networks might have a genetic basis. While genetic variation accounts for a significant portion of the variation in many complex social behaviors, the heritability of egocentric social network attributes is unknown. Here we show that three of these attributes...

Unpacking the Wisdom of Crowds

submitted by: dougramsey
In this talk, Dr.Scott E. Page, University of Michigan, will present three models for explaining the wisdom of crowds phenomenon, in which collections make better predictions than the individuals that comprise them. The first two models will be traditional models based on error cancellation and averaging. The third will be based on aggregating diverse predictive models using a framework developed by Hong and Page (2008). This talk is part of Calit2's 2008-2009 Behavioral, Social and Computer...

Nash Bargaining Via Flexible Budget Markets

submitted by: dougramsey
In his seminal 1950 paper, John NashIn his seminal 1950 paper, John Nash defined the bargaining game; the ensuing theory of bargaining lies at the heart of game theory. In this work, we initiate an algorithmic study of Nash bargaining games. For a certain class of Nash bargaining games, we show that they can be transformed into a market (in a new variant of a traditional market model from mathematical economics). We then extend techniques developed in theoretical computer science over the...

Dynamic Mechanism Design

submitted by: dougramsey
I will consider the design of efficient and profit-maximizing Bayesian incentive-compatible mechanisms for general dynamic environments with private information. In the environment, agents observe a sequence of private signals over a number of periods. In each period, the agents report their private signals and choose public (contractible) and private actions based on the reports. The probability distribution over future signals may depend on both past signals and past decisions. The general...