Artificial Life and Evolutionary Computation.
Marcello Pelillo,Irene Poli,Andrea Roli,Roberto Serra,Debora Slanzi,Marco Villani +5 more
- Vol. 830
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TLDR
This paper explores the possibility to construct quantum algorithms by means of neural networks endowed with quantum gates evolved to achieve prescribed goals by combining simple quantum operators belonging to a predefined set.Abstract:
This paper explores the possibility to construct quantum algorithms by means of neural networks endowed with quantum gates evolved to achieve prescribed goals. First tentatives are performed on the well known Deutsch and Deutsch-Jozsa problems. Results are promising as solutions are detected for different sizes and initializations of the problems using a standard evolutionary learning process. This approach is then used to design quantum operators by combining simple quantum operators belonging to a predefined set.read more
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Journal ArticleDOI
Evaluation of parallel particle swarm optimization algorithms within the CUDA TM architecture
TL;DR: In this article, the authors discuss possible approaches to parallelizing PSO on graphics hardware within the Compute Unified Device Architecture (CUDA(TM)), a GPU programming environment by nVIDIA(TM) which supports the company's latest cards.
Journal ArticleDOI
FAR1 links the signal transduction pathway to the cell cycle machinery in yeast
TL;DR: This paper showed that FAR1 protein is a substrate for FUS3 and that this phosphorylation regulates association of FAR1 with CDC28-CLN2 kinase, which is a member of the MAP kinase family and contributes to cell cycle arrest by inhibiting G1 cyclins.
Book ChapterDOI
Markerless articulated human body tracking from multi-view video with GPU-PSO
TL;DR: Results demonstrate that the GPU-PSO implementation recovers the articulated body pose from 10-viewpoint video sequences with significant computational savings when compared to the sequential implementation, thereby increasing the practical potential of the markerless pose estimation approach.
Periodic liquid-phase reactions with gas liberation on porous catalysts
TL;DR: The physical and chemical characteristics of the catalytic decomposition of liquid reagents on porous catalysts with a monodisperse structure were examined in this paper, where it was demonstrated that the instability of a polymolecular liquid film adsorbed on the pore walls leads to bubble formation during gas flow from thin capillaries and, as a consequence, to periodic gas liberation during catalytic deformation of the liquid.
Journal ArticleDOI
Emergence of Leadership in a Group of Autonomous Robots
TL;DR: It is shown that the most skilled individuals in a group tend to be the ones that assume a leadership role, supporting biological findings and the emergence of different “styles” of leadership.
References
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The Major Transitions in Evolution
TL;DR: This book discusses the origins of societies, development and evolution, and the development of spatial patterns in simple organisms.
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Complex Adaptive Systems: An Introduction to Computational Models of Social Life
John H. Miller,Scott E. Page +1 more
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Journal ArticleDOI
Learning in Extensive-Form Games: Experimental Data and Simple Dynamic Models in the Intermediate Term*
Alvin E. Roth,Ido Erev +1 more
TL;DR: In this article, the authors use simple learning models to track the behavior observed in experiments concerning three extensive form games with similar perfect equilibria, and they argue that for predicting observed behavior the intermediate term predictions of dynamic learning models may be even more important than their asymptotic properties.
Journal ArticleDOI
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Journal ArticleDOI
Integrative Analysis of Cell Cycle Control in Budding Yeast
Katherine C. Chen,Laurence Calzone,Attila Csikász-Nagy,Frederick R. Cross,Bela Novak,John J. Tyson +5 more
TL;DR: It is shown that a mathematical model built on a consensus picture of this control system is largely successful in explaining the phenotypes of mutants described so far and allows one to frame and critique hypotheses about how the division cycle is regulated in wild-type and mutant cells, to predict the phenotypic properties of new mutant combinations, and to estimate the effective values of biochemical rate constants that are difficult to measure directly in vivo.
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