Bidirectional associative memories
IEEE Transactions on Systems, Man and Cybernetics
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Associative dynamics in a chaotic neural network
Neural Networks
Spiking Neuron Models: An Introduction
Spiking Neuron Models: An Introduction
Neural Networks - 2003 Special issue: Advances in neural networks research IJCNN'03
Neural Networks - 2005 Special issue: IJCNN 2005
Introduction to Automata Theory, Languages, and Computation (3rd Edition)
Introduction to Automata Theory, Languages, and Computation (3rd Edition)
Memory-Based Context-Sensitive Spelling Correction at Web Scale
ICMLA '07 Proceedings of the Sixth International Conference on Machine Learning and Applications
Neurodynamics of Cognition and Consciousness
Neurodynamics of Cognition and Consciousness
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This work discusses a hybrid structure that conjugates connectionist associative memories and deterministic automata, for the implementation of context dependent pattern recognition. The associative component of the hybrid system is built through coupled recursive maps with bifurcation and chaotic dynamics (Recursive Processing Elements - RPEs). Its output feeds a deterministic state machine that controls the context of the pattern recognition tasks and produces related symbolic outputs. The proposal is illustrated in a scenario for context dependent (visual) pattern recognition, performed by an autonomous agent. Such "Learner" agent alternates between contexts of unsupervised image recognition and contexts of interaction with a "Teacher" agent, in supervised sections of image recognition. Computational experiments and related measures show the effectivenessof the proposal.