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» What Makes a Brain Smart? Reservoir Computing as an Approach...
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AGI
2011
12 years 10 months ago
What Makes a Brain Smart? Reservoir Computing as an Approach for General Intelligence
Abstract. Recurrent connectivity, balanced between excitation and inhibition, is a general principle of cortical connectivity. We propose that balanced recurrence can be achieved b...
Janelle Szary, Bryan Kerster, Christopher T. Kello
ESANN
2006
13 years 7 months ago
Dynamical reservoir properties as network effects
It has been proposed that chaos can serve as a reservoir providing an infinite number of dynamical states [1, 2, 3, 4, 5]. These can be interpreted as different behaviors, search a...
Carlos Lourenço
CEC
2009
IEEE
13 years 11 months ago
Memory-enhanced Evolutionary Robotics: The Echo State Network Approach
— Interested in Evolutionary Robotics, this paper focuses on the acquisition and exploitation of memory skills. The targeted task is a well-studied benchmark problem, the Tolman ...
Cédric Hartland, Nicolas Bredeche, Mich&egr...
AAAI
2010
13 years 7 months ago
Computationally Feasible Automated Mechanism Design: General Approach and Case Studies
In many multiagent settings, a decision must be made based on the preferences of multiple agents, and agents may lie about their preferences if this is to their benefit. In mechan...
Mingyu Guo, Vincent Conitzer
IUI
2009
ACM
14 years 3 months ago
What were you thinking?: filling in missing dataflow through inference in learning from demonstration
Recent years have seen a resurgence of interest in programming by demonstration. As end users have become increasingly sophisticated, computer and artificial intelligence technolo...
Melinda T. Gervasio, Janet L. Murdock