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» Learning of Agents with Limited Resources
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ACCV
2009
Springer
14 years 2 months ago
An Online Framework for Learning Novel Concepts over Multiple Cues
Abstract. We propose an online learning algorithm to tackle the problem of learning under limited computational resources in a teacher-student scenario, over multiple visual cues. ...
Luo Jie, Francesco Orabona, Barbara Caputo
STOC
2005
ACM
112views Algorithms» more  STOC 2005»
14 years 8 months ago
The complexity of agreement
A celebrated 1976 theorem of Aumann asserts that honest, rational Bayesian agents with common priors will never "agree to disagree": if their opinions about any topic ar...
Scott Aaronson
JAIR
2007
113views more  JAIR 2007»
13 years 7 months ago
Chain: A Dynamic Double Auction Framework for Matching Patient Agents
In this paper we present and evaluate a general framework for the design of truthful auctions for matching agents in a dynamic, two-sided market. A single commodity, such as a res...
Jonathan Bredin, David C. Parkes, Quang Duong
ICAI
2009
13 years 5 months ago
The Utility of Affect in the Selection of Actions and Goals Under Real-World Constraints
We present a novel affective goal selection mechanism for decision-making in agents with limited computational resources (e.g., such as robots operating under real-time constraint...
Paul W. Schermerhorn, Matthias Scheutz
AE
2007
Springer
14 years 2 months ago
Minimal and Necessary Conditions for the Emergence of Species-Specific Recognition Patterns
A simple mechanism is presented for the emergence of recognition patterns that are used by individuals to find each other and mate. The genetic component determines the brain of an...
Nicolas Brodu