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AIIDE
2006
13 years 5 months ago
The Self Organization of Context for Learning in MultiAgent Games
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
Christopher D. White, Dave Brogan
ISMIR
2003
Springer
196views Music» more  ISMIR 2003»
13 years 9 months ago
Automatic segmentation, learning and retrieval of melodies using a self-organizing neural network
We introduce a neural network, known as SONNETMAP, capable of automatic segmentation, learning and retrieval of melodies. SONNET-MAP is a synthesis of the SONNET (Self-Organizing ...
S. Harford
CORR
2004
Springer
180views Education» more  CORR 2004»
13 years 4 months ago
Self-Organized Stigmergic Document Maps: Environment as a Mechanism for Context Learning
Social insect societies and more specifically ant colonies, are distributed systems that, in spite of the simplicity of their individuals, present a highly structured social organi...
Vitorino Ramos, Juan J. Merelo Guervós
ISNN
2007
Springer
13 years 10 months ago
A Hierarchical Self-organizing Associative Memory for Machine Learning
This paper proposes novel hierarchical self-organizing associative memory architecture for machine learning. This memory architecture is characterized with sparse and local interco...
Janusz A. Starzyk, Haibo He, Yue Li
EELC
2006
121views Languages» more  EELC 2006»
13 years 8 months ago
Simulating Meaning Negotiation Using Observational Language Games
In this article, we study the emergence of associations between words and concepts using the self-organizing map. In particular, we explore the meaning negotiations among communica...
Tiina Lindh-Knuutila, Timo Honkela, Krista Lagus