We present a novel method for automatically acquiring strategies for the double auction by combining evolutionary optimization together with a principled game-theoretic analysis. Previous studies in this domain have used standard co-evolutionary algorithms, often with the goal of searching for the "best" trading strategy. However, we argue that such algorithms are often ineffective for this type of game because they fail to embody an appropriate game-theoretic solution-concept, and it is unclear, what, if anything, they are optimizing. In this paper, we adopt a more appropriate criterion for success from evolutionary game-theory based on the likely adoption-rate of a given strategy in a large population of traders, and accordingly we are able to demonstrate that our evolved strategy performs well.
Keywordsauctions and electronic markets, multi-agent evolution, adaptation and learning, game theoretic foundations of agent systems
Studies of primate locomotion have shown that the head and eyes are stabilized in space through the vestibulo-collic and vestibulo ocular Reflexes (VCR, VOR). The VOR is a reflex eye movement control system that stabilizes the image on the retina of the eye during head movements in space. This stabilization helps maintain objects of interest approximately fixed on the retina during locomotion. In this paper we present the design and implementation of an artificial vestibular system, which drives a fully articulated binocular vision system for quadrupedal robots to maintain accurate gaze. The complete robot head has 9 Degrees of freedom (DOF): pitch, yaw, and roll for the head and 3 DOF for left and right cameras. The SONY AIBO® Quadruped robot has been modified with additional hardware to emulate the vestibular system and the vestibulo-ocular reflex in primates.
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