[PDF] Top 20 Toward Quantum Inspired Model of Mind

... proposed model, strictly speaking, does not discriminate living systems of different kind in a sense that all of them are characterized by a self-awareness-based feedback from mental (11) to motor (10) ... See full document

... neuron model, classical ANN preferably simulates voluminous biological neurons’ characteristics such as the spatial weight aggregation, self-adaptability, conduction and output, but it does not fully incorporate ... See full document

... To enhance the performance of the artificial bee colony optimization by integrating the quantum computing model into bee colony optimization, we present a quantum-inspired bee colony opti- ... See full document

... differential evolution algorithm has a flaw, that is to say, it can only generate one vertex of the super rectangle solid. To address this problem, Ref. [9] proposed a new kind of orthogonal crossover operator. This ... See full document

... Hubbard model, there exist an exact solution to the homogeneous one-dimensional case, however numerically exact solutions to the non-uniform case becomes quickly problematic as the number of particles and sites ... See full document

... The model of decision making as decoherence was represented in a series of papers of Asano et ...The model is purely informational. Both a “quantum-like system”, Alice, and her mental (or ... See full document

... In this paper, we compare the classification ac- curacy of our proposed Complex Embedding Su- perposition (CE-Sup) network and Complex Em- bedding Mixture (CE-Mix) network with three ex- isting unsupervised ... See full document

... on quantum-inspired SFLA and MapReduce framework is ...cloud model is designed to divide the entire population into N subpopulations and share the rewards of different subpopulations’ solutions under ... See full document

... of quantum compu- tation model has inspired the information and computer science ...and Quantum superposition were innovated to Genetic Algorithm [1] and Evolutionary Algo- rithm [2], ...of ... See full document

... A fuzzy rule-based model consists of a set of fuzzy IF-THEN rules which maps inputs to outputs. It has numerous practical applications in control [1], prediction and inference [2, 3] and has been found to be quite ... See full document

... and Quantum-inspired Evolutio- nary Algorithm ...program model for optimizing the portfolio of new technology projects selection problem with considering the interdependencies between different ... See full document

... universal quantum gates, a quantum BP neural networks model is proposed; the learning algorithm of this model is designed; and the continuity of this model is ...this model and ... See full document

... warfare model that integrates the models of the whole tensor-centric warfare series, represented as a high-dimensional entangled warfare ...concept inspired by high-dimensional (HD) quantum ... See full document

... approaching quantum/noncommutative models for the deep micro- scopic spacetime in mind, and inspired by our recent picture of the (projec- tive) Hilbert space as the model of physical space ... See full document

... FACTS devices have the ability to modify power flow pattern. More importantly, they can change their parameters smoothly and rapidly, allowing a more desirable control on power flow. Therefore, FACTS devices are good ... See full document

... proposed quantum kernel with four state-of-the-art kernels, ...the quantum Jensen- Shannon kernel (QJS) [39] and the feature space Laplacian graph kernel (FLGK) ...a quantum kernel associated with ... See full document

... of quantum computing are implemented with the concepts of genetic algorithm ...is inspired by the concept of Q-bit in quantum ...in Quantum Computing by us. Q-bit is the basic building block ... See full document

... proposed quantum kernel with four state-of-the-art kernels, ...the quantum Jensen- Shannon kernel (QJS) [39] and the feature space Laplacian graph kernel (FLGK) ...a quantum kernel associated with ... See full document

... SNN are the third generation of neural network model. The model uses spikes as a substitute and analyses the pulse coded information (Gerstner, 2001; Gerstner et al., 1993; Gerstner & van Hemmen, 1994; ... See full document

... Two other criteria that one should keep in mind when evaluating a reconciliation method: its complexity and its rapidity. This last criterion is especially relevant in the case of highly interactive schemes where ... See full document