Cellular automata in fuzzy backgrounds
Physica D
Theoretical Computer Science
Acceleration of cellular automata algorithms using genetic algorithms
Advances in Engineering Software
Combination of multiple classifiers for the customer's purchase behavior prediction
Decision Support Systems - Special issue: Agents and e-commerce business models
Random Walks for Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Brief paper: Asynchronous cellular learning automata
Automatica (Journal of IFAC)
Computers and Industrial Engineering
The use of data mining and neural networks for forecasting stock market returns
Expert Systems with Applications: An International Journal
Stock market trading rule discovery using two-layer bias decision tree
Expert Systems with Applications: An International Journal
A learning automata based algorithm for optimization of continuous complex functions
Information Sciences: an International Journal
A cellular learning automata-based deployment strategy for mobile wireless sensor networks
Journal of Parallel and Distributed Computing
Brief paper: A cooperative game of a pair of learning automata
Automatica (Journal of IFAC)
Brief A strategy for controlling nonlinear systems using a learning automaton
Automatica (Journal of IFAC)
Optimization based on a team of automata with binary outputs
Automatica (Journal of IFAC)
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In this paper, we present a cellular learning automata model for the investment behavior in the stock market. In this model, investors decide to hold, buy, or sell the stocks based on the evolution rules and learn how much they can trust on other investors based on the learning rules. We analyze the effects of imitation, reliability and macrofactors on the stock market and compare the obtained results with the previous approach that is based on cellular automata.