Seventh BMC ecology image competition: the winning images

The coding ecology: image coding via competition among experts

| We consider the image coding problem as a competitive ecology of specialists, each vying for the task of coding a portion of an image. Each specialist, or expert, derives its competitive advantage from its ability to concisely describe an underlying visual event (e.g. shadows, motion, occluding objects). In this paper, the metaphor of an auction informs the design of a predictive coder. Exper...

Cell competition: Winning out by losing notch

Cell competition where 'loser' cells are eliminated by neighbors with higher fitness is a widespread phenomenon in development. However, a growing body of evidence argues cells with somatic mutations compete with their wild type counterparts in the earliest stages of cancer development. Recent studies have begun to shed light on the molecular and cellular mechanisms that alter the competitivene...

Commentary: Winning a competition predicts dishonest behavior

Winning a competition predicts dishonest behavior.

Winning a competition engenders subsequent unrelated unethical behavior. Five studies reveal that after a competition has taken place winners behave more dishonestly than competition losers. Studies 1 and 2 demonstrate that winning a competition increases the likelihood of winners to steal money from their counterparts in a subsequent unrelated task. Studies 3a and 3b demonstrate that the effec...

IAMwildCAT: The Winning Strategy for the TAC Market Design Competition

In this paper we describe the IAMwildCAT agent, designed for the TAC Market Design game which is part of the International Trading Agent Competition. The objective of an agent in this competition is to effectively manage and operate a market that attracts traders to compete for resources in it. This market, in turn, competes against markets operated by other competition entrants and the aim is ...