Cellular automata machines: a new environment for modeling
Cellular automata machines: a new environment for modeling
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Cellular automata in pattern recognition
Information Sciences: an International Journal
Evolution of Parallel Cellular Machines: The Cellular Programming Approach
Evolution of Parallel Cellular Machines: The Cellular Programming Approach
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Regular biosequence pattern matching with cellular automata
Information Sciences—Applications: An International Journal
A Genetic Algorithm Discovers Particle-Based Computation in Cellular Automata
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
Proceedings of the 7th Colloquium on Automata, Languages and Programming
An analysis of the behavior of a class of genetic adaptive systems.
An analysis of the behavior of a class of genetic adaptive systems.
Expert Systems with Applications: An International Journal
A new data clustering approach: Generalized cellular automata
Information Systems
Design and characterization of cellular automata based associative memory for pattern recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Error correcting capability of cellular automata based associative memory
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
An Approach to Searching for Two-Dimensional Cellular Automata for Recognition of Handwritten Digits
MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Electronic Notes in Theoretical Computer Science (ENTCS)
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Information Sciences: an International Journal
Genetic approaches to search for computing patterns in cellular automata
IEEE Computational Intelligence Magazine
Fluctuation-driven computing on number-conserving cellular automata
Information Sciences: an International Journal
Invertible behavior in elementary cellular automata with memory
Information Sciences: an International Journal
Local measures of information storage in complex distributed computation
Information Sciences: an International Journal
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This paper presents the synthesis and analysis of a special class of non-uniform cellular automata (CAs) based associative memory, termed as generalized multiple attractor CAs (GMACAs). A reverse engineering technique is presented for synthesis of the GMACAs. The desired CAs are evolved through an efficient formulation of genetic algorithm coupled with the reverse engineering technique. This has resulted in significant reduction of the search space of the desired GMACAs. Characterization of the basins of attraction of the proposed model establishes the sparse network of GMACAs as a powerful pattern recognizer for memorizing unbiased patterns. Theoretical analysis also provides an estimate of the noise accommodating capability of the proposed GMACA based associative memory. An in-depth analysis of the GMACA rule space establishes the fact that more heterogeneous CA rules are capable of executing complex computation like pattern recognition.