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» On the Complexity of Function Learning
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ATAL
2010
Springer
15 years 5 months ago
Developing high-level cognitive functions for service robots
The primary target of this work is human-robot collaboration, especially for service robots in complicated application scenarios. Three assumptions and four requirements are ident...
Xiaoping Chen, Jianmin Ji, Jiehui Jiang, Guoqiang ...
BC
2008
72views more  BC 2008»
15 years 4 months ago
Spike-train spectra and network response functions for non-linear integrate-and-fire neurons
Reduced models have long been used as a tool for the analysis of the complex activity taking place in neurons and their coupled networks. Recent advanced in experimental and theore...
Magnus J. E. Richardson
MAGS
2008
64views more  MAGS 2008»
15 years 4 months ago
A multi-issue negotiation protocol among agents with nonlinear utility functions
Multi-Issue Negotiation protocols have been studied very widely and represent a promising field since most of negotiation problems in the realworld are complex ones including mult...
Takayuki Ito, Mark Klein, Hiromitsu Hattori
MAGS
2008
121views more  MAGS 2008»
15 years 4 months ago
A decentralized model for automated multi-attribute negotiations with incomplete information and general utility functions
This paper presents a decentralized model that allows self-interested agents to reach "win-win" agreements in a multi-attribute negotiation. The model is based on an alt...
Guoming Lai, Katia P. Sycara, Cuihong Li
JAIR
2000
152views more  JAIR 2000»
15 years 4 months ago
Value-Function Approximations for Partially Observable Markov Decision Processes
Partially observable Markov decision processes (POMDPs) provide an elegant mathematical framework for modeling complex decision and planning problems in stochastic domains in whic...
Milos Hauskrecht