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» Natural Selection in Relation to Complexity
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AAMAS
2002
Springer
13 years 5 months ago
Relational Reinforcement Learning for Agents in Worlds with Objects
In reinforcement learning, an agent tries to learn a policy, i.e., how to select an action in a given state of the environment, so that it maximizes the total amount of reward it ...
Saso Dzeroski
GIS
1998
ACM
13 years 4 months ago
Natural-Language Spatial Relations Between Linear and Areal Objects: The Topology and Metric of English-Language Terms
Spatial relations are the basis for many selections users perform when they query geographic information systems (GISs). Although such query languages use natural-language-like te...
A. Rashid B. M. Shariff, Max J. Egenhofer, David M...
BIOSYSTEMS
2008
65views more  BIOSYSTEMS 2008»
13 years 5 months ago
The origin of autonomous agents by natural selection
We propose conditions in which an autonomous agent could arise, and increase in complexity. It is assumed that on the primitive Earth there arose a recycling flow-reactor containi...
Chrisantha Fernando, Jon Rowe
JMLR
2010
147views more  JMLR 2010»
13 years 31 sec ago
Image Denoising with Kernels Based on Natural Image Relations
A successful class of image denoising methods is based on Bayesian approaches working in wavelet representations. The performance of these methods improves when relations among th...
Valero Laparra, Juan Gutierrez, Gustavo Camps-Vall...
NECO
2000
67views more  NECO 2000»
13 years 5 months ago
Formation of Direction Selectivity in Natural Scene Environments
Most simple and complex cells in the cat striate cortex are both orientation and direction selective. In this paper we use single cell learning rules to develop both orientation a...
Brian S. Blais, Leon N. Cooper, Harel Z. Shouval