Bio-inspired Computing Machines: Towards Novel Computational ArchitecturesDaniel Mange, Marco Tomassini |
Contents
An Introduction to BioInspired Machines | 1 |
An Introduction to Digital Systems | 13 |
An Introduction to Cellular Automata | 49 |
Copyright | |
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Common terms and phrases
adaptive architecture array artificial neural networks artificial organism automaton behavior binary decision diagrams binary decision machine binary decision tree BIODULE biological bits block cellular automata cellular differentiation cellular programming Chapter circuit clock signal complex computation configuration connections coordinates corresponding crossover defined dynamic element encoding environment evolution evolutionary algorithms evolved example execution fault field-programmable gate array Figure fitness flip-flop flowchart FPGA FPPA function gene genetic algorithms genome genotype global grid hardware implementation individuals initial input instruction interconnection Karnaugh map L-system layer learning algorithm logic loop memory microprogram MICTREE module molecule mother cell multicellular multiplexer mutation MUXTREE cell neighbors neural network neuron one-dimensional operation Opgenome output parallel parameters perceptron performance population possible problem processor random number realization representation robot rule selection self-repair self-replication sequential signal solution space string sub-program synaptic synchronous tape task truth table Turing machine variable