Language classification : history and method / / Lyle Campbell and William J. Poser [[electronic resource]]

• Record Nr.: UNINA9910454704803321
• Autore: Campbell Lyle
• Pubbl/distr/stampa: Cambridge : , : Cambridge University Press, , 2008
• ISBN: 1-107-18412-6; 1-281-75117-0; 9786611751173; 0-511-41450-1; 0-511-48690-1; 0-511-41518-4; 0-511-41289-4; 0-511-41196-0; 0-511-41381-5
• Descrizione fisica: 1 online resource (ix, 536 pages) : digital, PDF file(s)
• Classificazione: 17.14
• Disciplina: 401/.2
• Soggetti: Comparative linguistics; Language and languages
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Title from publisher's bibliographic system (viewed on 05 Oct 2015).
• Nota di bibliografia: Includes bibliographical references (p. 416-507) and index.
• Nota di contenuto: Introduction: how are languages shown to be related to one another? -- The beginning of comparative linguistics -- "Asiatic Jones, oriental Jones": Sir William Jones' role in the raise of comparative linguistics -- Consolidation of comparative linguistics -- How some languages were shown to belong to indo-European -- Comparative linguistics of other language families and regions -- How to show languages are related: the methods -- The philosophical-psychological-typological-evolutionary approach to language relationships -- Assessment of proposed distant generic relationships -- Beyond the comparative method? -- Why and how do languages diversify and spread? -- What can we learn about the earliest human language by comparing languages known today? -- Conclusions: Anticipating the future -- Appendix: Hypothesized distant genetic relationships.
• Sommario/riassunto: How are relationships established between the world's languages? This is one of the most topical and most controversial questions in contemporary linguistics. The central aims of this book are to answer this question, to cut through the controversies, and to contribute to research in distant genetic relationships. In doing this the authors aim to: (1) show how the methods have been employed; (2) reveal which methods, techniques, and strategies have proven successful and which ones have proven ineffective; (3) determine how particular language families were established; (4) evaluate several of the most prominent and more controversial proposals of distant genetic relationship (such as Amerind, Nostratic, Eurasiatic, Proto-World, and others); and (5) make recommendations for practice in future research. This book will contribute significantly to understanding language classification in general.

Membrane computing models : implementations / / Gexiang Zhang [and six others]

• Record Nr.: UNISA996464505803316
• Autore: Zhang Gexiang
• Pubbl/distr/stampa: Gateway East, Singapore : , : Springer, , [2021]; ©2021
• ISBN: 981-16-1566-7
• Descrizione fisica: 1 online resource (291 pages)
• Disciplina: 006.38
• Soggetti: Natural computation
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Intro -- Foreword -- Preface -- Acknowledgments -- Contents -- Acronyms -- 1 Introduction -- 1.1 Membrane Computing Overview -- 1.2 Software Implementation of P Systems -- 1.3 Hardware Implementation of P Systems -- 1.4 Challenges of P Systems Implementation -- 1.5 Concluding Remarks -- References -- 2 P Systems Implementation on P-Lingua Framework -- 2.1 Introduction -- 2.2 P-Lingua Language -- 2.2.1 P System Models -- 2.2.2 Membrane ; Structure -- 2.2.3 Initial Multisets -- 2.2.4 P System Rules -- 2.3 Simulation Algorithms -- 2.4 Membrane Computing Simulator (MeCoSim) -- 2.4.1 Primary goals -- 2.4.2 Main Functional Components -- 2.5 Conclusion -- References -- 3 Applications of Software Implementations of P Systems -- 3.1 Introduction -- 3.2 Automatic Design of Cell-Like P Systems with P-Lingua -- 3.2.1 Preliminaries -- 3.2.1.1 Alphabet and Multisets -- 3.2.1.2 Rooted Tree -- 3.2.1.3 Cell-Like P System/Transition P System -- 3.2.2 Automatic Design of P Systems with an Elitist Genetic Algorithm -- 3.2.2.1 Problem Statement -- 3.2.2.2 Design Method -- 3.2.3 Automatic Design of P Systems with a Permutation Penalty Genetic Algorithm -- 3.3 Automatic Design of Spiking Neural P Systems with P-Lingua -- 3.4 Modelling Real Ecosystems with MeCoSim -- 3.4.1 Problem Description -- 3.5 Robot Motion Planning -- 3.5.1 Problem Definition -- 3.5.2 Path Planning for Mobile Robots -- 3.5.3 Rapidly-Exploring Random Tree (RRT) Algorithm -- 3.6 Conclusion -- References -- 4 Infobiotics Workbench: An In Silico Software Suite for Computational Systems Biology -- 4.1 Introduction -- 4.2 Stochastic P Systems -- 4.3 Software Description -- 4.3.1 Simulation -- 4.3.2 Verification -- 4.3.3 Optimization -- 4.4 Case Studies -- 4.4.1 Pulse generator -- 4.4.2 Repressilator -- 4.5 KPWorkbench: A Qualitative Analysis Tool -- 4.6 Next-Generation Infobiotics for Synthetic Biology.; 4.7 Conclusion -- References -- 5 Molecular Physics and Chemistry in Membranes: The Java Environment for Nature-Inspired Approaches (JENA) -- 5.1 Introduction -- 5.2 JENA at a Glance and Its Descriptive Capacity -- 5.2.1 Atoms, Ions, Molecules, and Particles -- 5.2.2 Vessels and Delimiters -- 5.2.3 Brownian Motion and Thermodynamics -- 5.2.4 Chemical Reactions by Effective Collisions and by Spontaneous Decay -- 5.2.5 Applying External Forces -- 5.2.6 Active Membranes and Dynamical Delimiters -- 5.2.7 Simulation, Monitoring, Logging, and Analyses -- 5.3 JENA Source Code Design -- 5.4 Selection of JENA Case Studies -- 5.4.1 Chemical Lotka-Volterra Oscillator -- 5.4.2 Electrophoresis -- 5.4.3 Centrifugation -- 5.4.4 Neural Signal Transduction Across Synaptic Cleft -- 5.5 Conclusions and Prospectives -- References -- 6 P Systems Implementation on GPUs -- 6.1 Introduction -- 6.2 GPU Computing -- 6.2.1 The Graphics Processing Unit -- 6.2.2 CUDA Programming Model -- 6.2.3 GPU Architecture -- 6.2.4 Good Practices -- 6.3 Generic Simulations -- 6.3.1 Definition -- 6.3.2 Simulating P Systems with Active Membranes -- 6.3.2.1 Recognizer P Systems with Active Membranes -- 6.3.2.2 Simulation Algorithm -- 6.3.2.3 Sequential Simulator -- 6.3.2.4 Parallel Simulation on CUDA -- 6.3.2.5 Performance Comparative Analysis -- 6.3.3 Simulating Population Dynamics P Systems -- 6.3.3.1 Population Dynamics P Systems -- 6.3.3.2 Simulation Algorithm -- 6.3.3.3 Design of the Parallel Simulator -- 6.3.3.4 GPU Implementation of the DCBA Phases -- 6.3.3.5 Performance Results of the Simulator -- 6.4 Specific Simulations -- 6.4.1 Definition -- 6.4.2 Simulating a SAT Solution with Active Membrane P Systems -- 6.4.2.1 SAT Solution with Active Membranes -- 6.4.2.2 Sequential Simulator and Data Structures -- 6.4.2.3 Design of the GPU Simulator -- 6.4.2.4 Performance Analysis.; 6.4.3 Simulating a SAT Solution with Tissue P Systems -- 6.4.3.1 Recognizer Tissue P System with Cell Division -- 6.4.3.2 SAT Solution with Tissue P Systems -- 6.4.3.3 Sequential Simulation and Data Structure -- 6.4.3.4 Design of the Parallel Simulator -- 6.4.3.5 Performance Analysis -- 6.5 Adaptive Simulations -- 6.5.1 Definition -- 6.5.2 Simulating Population Dynamics P Systems -- 6.5.2.1 Analysis of Performance Results -- 6.6 Conclusions -- References -- 7 P Systems Implementation on FPGA -- 7.1 Introduction -- 7.2 FPGA ; Hardware -- 7.3 Generalized Numerical P Systems (GNPS) -- 7.3.1 Formal Definition -- 7.3.2 Basic Variant -- 7.3.3 Historical Remarks -- 7.4 Implementing GNPS on FPGA -- 7.5 FPGA Implementations of Other Models of P Systems -- 7.5.1 Petreska and Teuscher Implementation -- 7.5.2 Nguyen Implementation -- 7.5.3 Quiros and Verlan Implementation -- 7.5.4 Comments -- 7.6 Discussion -- 7.7 Conclusion -- References -- 8 Applications of Hardware Implementation of P Systems -- 8.1 Introduction -- 8.2 Robot Membrane Controllers with FPGA Implementation -- 8.2.1 Numerical P Systems-Based Membrane Controllers on FPGA -- 8.2.2 Enzymatic Numerical P Systems (ENPS)-Based Membrane Controllers on FPGA -- 8.2.3 GNPS-Based Membrane Controllers on FPGA -- 8.3 Robot Path Planning with FPGA Implementation -- 8.3.1 RRT Algorithm -- 8.3.2 Arithmetic Units Design -- 8.3.3 Enzymatic Numerical P System Rapid-Exploring Random Tree Register Transfer Level (ENPS-RRT RTL) Model Design -- 8.3.4 ENPS-RRT on FPGA -- 8.4 Conclusion -- References -- Index.