Author:
Andrzej Bieszczad
Affiliation:
California State University Channel Islands, United States
Keyword(s):
Forecasting, Neural network, Neuromorphic systems, General problem solvers, Predicting future, Behavioral patterns.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
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Biomedical Engineering
;
Biomedical Signal Processing
;
Computational Intelligence
;
Computational Neuroscience
;
Enterprise Information Systems
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Learning Paradigms and Algorithms
;
Methodologies and Methods
;
Neural Network Software and Applications
;
Neural Networks
;
Neurocomputing
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Neurotechnology, Electronics and Informatics
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Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Signal Processing
;
Soft Computing
;
Theory and Methods
Abstract:
Neurosolver is a neuromorphic planner and a problem solving system. It was tested on several problem solving and planning tasks such as re-arranging blocks and controlling a software-simulated artificial rat running in a maze. In these tasks, the Neurosolver created models of the problem as temporal patterns in the problem space. These behavioral traces were then used to perform search and generate actions. While exploring general problem capabilities of the Neurosolver, it was observed that the traces of the past in the problem space can also be used for predicting future behavioral patterns. In this paper, we present an analysis of these capabilities in context of the sample data sets made available for the NN5 competition.