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AAMAS
2011
Springer
14 years 3 months ago
Declarative programming for agent applications
This paper introduces the execution model of a declarative programming language intended for agent applications. Features supported by the language include functional and logic pro...
John W. Lloyd, Kee Siong Ng
GECCO
2011
Springer
236views Optimization» more  GECCO 2011»
14 years 3 months ago
Online, GA based mixture of experts: a probabilistic model of ucs
In recent years there have been efforts to develop a probabilistic framework to explain the workings of a Learning Classifier System. This direction of research has met with lim...
Narayanan Unny Edakunni, Gavin Brown, Tim Kovacs
ICPR
2004
IEEE
16 years 23 days ago
Visual Learning and Recognition of a Probabilistic Spatio-Temporal Model of Cyclic Human Locomotion
We present a novel representation of cyclic human locomotion based on a set of spatio-temporal curves of tracked points on the surface of a person. We start by extracting a set of...
Miha Peternel, Ales Leonardis
LAI
1996
128views more  LAI 1996»
15 years 1 months ago
Doxastic Normality Logic: A Qualitative Probabilistic Modal Framework for Defaults and Belief
We propose a new semantics for modeling belief, mixing conncepts from qualitative probabilistic and classical possible world accounts. Our belief structures are coherent sets of q...
Emil Weydert
NIPS
2001
15 years 1 months ago
Unsupervised Learning of Human Motion Models
This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...
Yang Song, Luis Goncalves, Pietro Perona