Advances in Computational Intelligence

Advances in Computational Intelligence

Author: Ignacio Rojas

Publisher: Springer

ISBN: 9783642386824

Category: Computers

Page: 517

View: 575

This two-volume set LNCS 7902 and 7903 constitutes the refereed proceedings of the 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, held in Puerto de la Cruz, Tenerife, Spain, in June 2013. The 116 revised papers were carefully reviewed and selected from numerous submissions for presentation in two volumes. The papers explore sections on mathematical and theoretical methods in computational intelligence, neurocomputational formulations, learning and adaptation emulation of cognitive functions, bio-inspired systems and neuro-engineering, advanced topics in computational intelligence and applications.

Proceedings. 21. Workshop Computational Intelligence, Dortmund, 1. - 2. Dezember 2011

Proceedings. 21. Workshop Computational Intelligence, Dortmund, 1. - 2. Dezember 2011

Author: Frank Hoffmann

Publisher: KIT Scientific Publishing

ISBN: 9783866447431

Category:

Page: 328

View: 428

Dieser Tagungsband enthält die Beiträge des 21. Workshops "Computational Intelligence" des Fachausschusses 5.14 der VDI/VDE-Gesellschaft für Mess- und Automatisierungstechnik (GMA)und der Fachgruppe "Fuzzy-Systeme und Soft-Computing" der Gesellschaft für Informatik. Die Schwerpunkte sind Methoden, Anwendungen und Tools für Fuzzy-Systeme, Künstliche Neuronale Netze, Evolutionäre Algorithmen und Data-Mining-Verfahren sowie der Methodenvergleich anhand von industriellen und Benchmark-Problemen.

5. Österreichische Artificial-Intelligence-Tagung

5. Österreichische Artificial-Intelligence-Tagung

Author: Johannes Retti

Publisher: Springer Science & Business Media

ISBN: 9783642746888

Category: Computers

Page: 452

View: 706

Die 5. Österreichische Artificial-Intelligence-Tagung setzt sich zusammen aus wissenschaftlichem Programm, Workshops und Tutorials. Der wissenschaftlich orientierte Teil des Tagungsprogramms umfa€t sowohl eingeladene als auch begutachtete Vorträge zu den Themen Qualitatives Schlie€en, Methodik Wissensbasierter Systeme und deren Anwendung, Logik/Deduktion, Natürlichsprachliche Systeme, Lernen und Kognition. Zum Informationsaustausch waren zusätzlich Workshops zur Weiterbildung vorgesehen. Besonders das Thema "Philosophie und KI" demonstrierte das allgemeine Interesse. Dies soll mit Beiträgen dokumentiert werden, die einen Überblick über Berührungspunkte der KI mit philosophischen Strömungen bieten und auch den Einflu€ der KI als Teil der Informatik auf das philosophische Weltbild verdeutlichen. Ebenfalls repräsentative Beiträge wurden zu den Workshops "Konnektionismus", "Qualitatives Schlie€en" und "Begriffsbildung/-modellierung" ausgewählt.

Knowledge Management, Organizational Intelligence And Learning, And Complexity - Volume II

Knowledge Management, Organizational Intelligence And Learning, And Complexity - Volume II

Author: L. Douglas Kiel

Publisher: EOLSS Publications

ISBN: 9781905839124

Category:

Page: 296

View: 590

Knowledge Management, Organizational Intelligence and Learning, and Complexity is the component of Encyclopedia of Technology, Information, and Systems Management Resources in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty one Encyclopedias. The Theme on Knowledge Management, Organizational Intelligence and Learning, and Complexity in the Encyclopedia of Technology, Information, and Systems Management Resources provides the latest scientific insights into the evolution of complexity in both the natural and social realms. Emerging perspectives from the fields of knowledge management, computer-based simulation and the organizational sciences are presented as tools for understanding and supporting this evolving complexity and the earth's life support systems. These three volumes are aimed at the following a wide spectrum of audiences from the merely curious to those seeking in-depth knowledge: University and College students Educators, Professional practitioners, Research personnel and Policy analysts, managers, and decision makers and NGOs.

Foundations of Computational Intelligence

Foundations of Computational Intelligence

Author: Aboul-Ella Hassanien

Publisher: Springer Science & Business Media

ISBN: 9783642010811

Category: Computers

Page: 400

View: 218

Recent years have seen numerous applications across a variety of fields using various techniques of Computational Intelligence. This book, one of a series on the foundations of Computational Intelligence, is focused on learning and approximation.

Artificial Life and Computational Intelligence

Artificial Life and Computational Intelligence

Author: Tapabrata Ray

Publisher: Springer

ISBN: 9783319282701

Category: Computers

Page: 375

View: 627

This book constitutes the proceedings of the Second Australasian Conference on Artificial Life and Computational Intelligence, ACALCI 2016, held in Canberra, ACT, Australia, in February 2016. The 30 full papers presented in this volume were carefully reviewed and selected from 41 submissions. They are organized in topical sections named: mathematical modeling and theory; learning and optimization; planning and scheduling; feature selection; and applications and games.

Intelligent Systems and Technologies

Intelligent Systems and Technologies

Author: Horia-Nicolai Teodorescu

Publisher: Springer

ISBN: 9783642018855

Category: Technology & Engineering

Page: 300

View: 138

Intelligent systems and technologies are increasing finding their ways in our daily lives. This book presents a sample of recent research results from key researchers. The contributions include: Introduction to intelligent systems; A Fuzzy Density Analysis of Subgroups by means of DNA Oligonucleotides; Evolution of Cooperating Classification Rules with an Archiving Strategy to Underpin Collaboration; Designing Agents with Dynamic Capability; Localized versus Locality Preserving Representation Methods in Face Recognition Tasks; Invariance Properties of Recurrent Neural Networks; Solving Bioinformatics Problems by Soft Computing Techniques; Transforming an Interactive Expert Code into a Statefull Service and a Multicoreenabled System; Ro-WordNet with Paradigmatic Morphology and Subjectivity Mark-up; Special Cases of Relative Object Qualification using the AMONG Operator; Effective Speaker Tracking Strategies for Multi-party Human-Computer Dialogue; The Fuzzy Interpolative Control for Passive Greenhouses; GPS safety system for airplanes; 3D Collaborative Interfaces for E-learning; Open Projects in Contemporary E-Learning; Software Platform for Archaeological Patrimony Inventory and Management. The book is directed to the graduate students, researchers, professors and the practitioner of intelligent systems.

Computational Intelligence Assisted Design

Computational Intelligence Assisted Design

Author: Yi Chen

Publisher: CRC Press

ISBN: 9781351649216

Category: Computers

Page: 504

View: 890

Computational Intelligence Assisted Design framework mobilises computational resources, makes use of multiple Computational Intelligence (CI) algorithms and reduces computational costs. This book provides examples of real-world applications of technology. Case studies have been used to show the integration of services, cloud, big data technology and space missions. It focuses on computational modelling of biological and natural intelligent systems, encompassing swarm intelligence, fuzzy systems, artificial neutral networks, artificial immune systems and evolutionary computation. This book provides readers with wide-scale information on CI paradigms and algorithms, inviting readers to implement and problem solve real-world, complex problems within the CI development framework. This implementation framework will enable readers to tackle new problems without difficulty through a few tested MATLAB source codes

Ontology-Based Multi-Agent Systems

Ontology-Based Multi-Agent Systems

Author: Maja Hadzic

Publisher: Springer Science & Business Media

ISBN: 9783642019036

Category: Mathematics

Page: 274

View: 532

During the last two decades, the idea of Semantic Web has received a great deal of attention. An extensive body of knowledge has emerged to describe technologies that seek to help us create and use aspects of the Semantic Web. Ontology and agent-based technologies are understood to be the two important technologies here. A large number of articles and a number of books exist to describe the use individually of the two technologies and the design of systems that use each of these technologies individually, but little focus has been given on how one can - sign systems that carryout integrated use of the two different technologies. In this book we describe ontology and agent-based systems individually, and highlight advantages of integration of the two different and complementary te- nologies. We also present a methodology that will guide us in the design of the - tegrated ontology-based multi-agent systems and illustrate this methodology on two use cases from the health and software engineering domain. This book is organized as follows: • Chapter I, Current issues and the need for ontologies and agents, describes existing problems associated with uncontrollable information overload and explains how ontologies and agent-based systems can help address these - sues. • Chapter II, Introduction to multi-agent systems, defines agents and their main characteristics and features including mobility, communications and collaboration between different agents. It also presents different types of agents on the basis of classifications done by different authors.

Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005

Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005

Author: Wlodzislaw Duch

Publisher: Springer

ISBN: 9783540287568

Category: Computers

Page: 1045

View: 334

This volume is the first part of the two-volume proceedings of the International C- ference on Artificial Neural Networks (ICANN 2005), held on September 11–15, 2005 in Warsaw, Poland, with several accompanying workshops held on September 15, 2005 at the Nicolaus Copernicus University, Toru , Poland. The ICANN conference is an annual meeting organized by the European Neural Network Society in cooperation with the International Neural Network Society, the Japanese Neural Network Society, and the IEEE Computational Intelligence Society. It is the premier European event covering all topics concerned with neural networks and related areas. The ICANN series of conferences was initiated in 1991 and soon became the major European gathering for experts in those fields. In 2005 the ICANN conference was organized by the Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland, and the Nicolaus Copernicus Univ- sity, Toru , Poland. From over 600 papers submitted to the regular sessions and some 10 special c- ference sessions, the International Program Committee selected – after a thorough peer-review process – about 270 papers for publication. The large number of papers accepted is certainly a proof of the vitality and attractiveness of the field of artificial neural networks, but it also shows a strong interest in the ICANN conferences.

Tree-Structure based Hybrid Computational Intelligence

Tree-Structure based Hybrid Computational Intelligence

Author: Yuehui Chen

Publisher: Springer Science & Business Media

ISBN: 9783642047398

Category: Computers

Page: 206

View: 331

Research in computational intelligence is directed toward building thinking machines and improving our understanding of intelligence. As evident, the ultimate achievement in this field would be to mimic or exceed human cognitive capabilities including reasoning, recognition, creativity, emotions, understanding, learning and so on. In this book, the authors illustrate an hybrid computational intelligence framework and it applications for various problem solving tasks. Based on tree-structure based encoding and the specific function operators, the models can be flexibly constructed and evolved by using simple computational intelligence techniques. The main idea behind this model is the flexible neural tree, which is very adaptive, accurate and efficient. Based on the pre-defined instruction/operator sets, a flexible neural tree model can be created and evolved. This volume comprises of 6 chapters including an introductory chapter giving the fundamental definitions and the last Chapter provides some important research challenges. Academics, scientists as well as engineers engaged in research, development and application of computational intelligence techniques and data mining will find the comprehensive coverage of this book invaluable.

Handbook of Grammatical Evolution

Handbook of Grammatical Evolution

Author: Conor Ryan

Publisher: Springer

ISBN: 9783319787176

Category: Computers

Page: 497

View: 281

This handbook offers a comprehensive treatise on Grammatical Evolution (GE), a grammar-based Evolutionary Algorithm that employs a function to map binary strings into higher-level structures such as programs. GE's simplicity and modular nature make it a very flexible tool. Since its introduction almost twenty years ago, researchers have applied it to a vast range of problem domains, including financial modelling, parallel programming and genetics. Similarly, much work has been conducted to exploit and understand the nature of its mapping scheme, triggering additional research on everything from different grammars to alternative mappers to initialization. The book first introduces GE to the novice, providing a thorough description of GE along with historical key advances. Two sections follow, each composed of chapters from international leading researchers in the field. The first section concentrates on analysis of GE and its operation, giving valuable insight into set up and deployment. The second section consists of seven chapters describing radically different applications of GE. The contributions in this volume are beneficial to both novices and experts alike, as they detail the results and researcher experiences of applying GE to large scale and difficult problems. Topics include: • Grammar design • Bias in GE • Mapping in GE • Theory of disruption in GE · Structured GE · Geometric semantic GE · GE and semantics · Multi- and Many-core heterogeneous parallel GE · Comparing methods to creating constants in GE · Financial modelling with GE · Synthesis of parallel programs on multi-cores · Design, architecture and engineering with GE · Computational creativity and GE · GE in the prediction of glucose for diabetes · GE approaches to bioinformatics and system genomics · GE with coevolutionary algorithms in cybersecurity · Evolving behaviour trees with GE for platform games · Business analytics and GE for the prediction of patient recruitment in multicentre clinical trials