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ICML
2004
IEEE
16 years 19 days ago
Learning low dimensional predictive representations
Predictive state representations (PSRs) have recently been proposed as an alternative to partially observable Markov decision processes (POMDPs) for representing the state of a dy...
Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian...
ICA
2010
Springer
15 years 27 days ago
Dictionary Learning for Sparse Representations: A Pareto Curve Root Finding Approach
Abstract. A new dictionary learning method for exact sparse representation is presented in this paper. As the dictionary learning methods often iteratively update the sparse coeffi...
Mehrdad Yaghoobi, Mike E. Davies
KNINVI
2005
Springer
15 years 5 months ago
Representational Correspondence as a Basic Principle of Diagram Design
The timeworn claim that a picture is worth a thousand words is generally well-supported by empirical evidence, suggesting that diagrams and other information graphics can enhance h...
Christopher F. Chabris, Stephen M. Kosslyn
IAT
2008
IEEE
15 years 6 months ago
Relating Cognitive Process Models to Behavioural Models of Agents
From an external perspective, cognitive agent behaviour can be described by specifying (temporal) correlations of a certain complexity between stimuli (input states) and (re)actio...
Alexei Sharpanskykh, Jan Treur
PROMAS
2004
Springer
15 years 5 months ago
Goal Representation for BDI Agent Systems
Abstract. Agent-oriented system development aims to simplify the conn of complex systems by introducing a natural abstraction layer on top of the object-oriented paradigm composed ...
Lars Braubach, Alexander Pokahr, Daniel Moldt, Win...