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Author: Nicholas V. Findler
Publisher: Academic Press
ISBN: 1483263010
Category : Reference
Languages : en
Pages : 481
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Book Description
Associative Networks: Representation and Use of Knowledge by Computers is a collection of papers that deals with knowledge base of programs exhibiting some operational aspects of understanding. One paper reviews network formalism that utilizes unobstructed semantics, independent of the domain to which it is applied, that is also capable of handling significant epistemological relationships of concept structuring, attribute/value inheritance, multiple descriptions. Another paper explains network notations that encode taxonomic information; general statements involving quantification; information about processes and procedures; the delineation of local contexts, as well as the relationships between syntactic units and their interpretations. One paper shows that networks can be designed to be intuitively and formally interpretable. Network formalisms are computer-oriented logics which become distinctly significant when access paths from concepts to propositions are built into them. One feature of a topical network organization is its potential for learning. If one topic is too large, it could be broken down where groupings of propositions under the split topics are then based on "co-usage" statistics. As an example, one paper cites the University of Maryland artificial intelligence (AI) group which investigates the control and interaction of a meaning-based parser. The group also analyzes the inferences and predictions from a number of levels based on mundane inferences of actions and causes that can be used in AI. The collection can be useful for computer engineers, computer programmers, mathematicians, and researchers who are working on artificial intelligence.
Author: Nicholas V. Findler
Publisher: Academic Press
ISBN: 1483263010
Category : Reference
Languages : en
Pages : 481
Get Book Here
Book Description
Associative Networks: Representation and Use of Knowledge by Computers is a collection of papers that deals with knowledge base of programs exhibiting some operational aspects of understanding. One paper reviews network formalism that utilizes unobstructed semantics, independent of the domain to which it is applied, that is also capable of handling significant epistemological relationships of concept structuring, attribute/value inheritance, multiple descriptions. Another paper explains network notations that encode taxonomic information; general statements involving quantification; information about processes and procedures; the delineation of local contexts, as well as the relationships between syntactic units and their interpretations. One paper shows that networks can be designed to be intuitively and formally interpretable. Network formalisms are computer-oriented logics which become distinctly significant when access paths from concepts to propositions are built into them. One feature of a topical network organization is its potential for learning. If one topic is too large, it could be broken down where groupings of propositions under the split topics are then based on "co-usage" statistics. As an example, one paper cites the University of Maryland artificial intelligence (AI) group which investigates the control and interaction of a meaning-based parser. The group also analyzes the inferences and predictions from a number of levels based on mundane inferences of actions and causes that can be used in AI. The collection can be useful for computer engineers, computer programmers, mathematicians, and researchers who are working on artificial intelligence.
Author: Andy Clark
Publisher: MIT Press
ISBN: 9780262032100
Category : Computers
Languages : en
Pages : 278
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Book Description
Clark charts a fundamental shift from a static, inner-code-oriented conception of the subject matter of cognitive science to a more dynamic, developmentally rich, process-oriented view.
Author: Bernadete Ribeiro
Publisher: Springer Science & Business Media
ISBN: 3211273891
Category : Computers
Languages : en
Pages : 561
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Book Description
The ICANNGA series of Conferences has been organised since 1993 and has a long history of promoting the principles and understanding of computational intelligence paradigms within the scientific community and is a reference for established workers in this area. Starting in Innsbruck, in Austria (1993), then to Ales in Prance (1995), Norwich in England (1997), Portoroz in Slovenia (1999), Prague in the Czech Republic (2001) and finally Roanne, in France (2003), the ICANNGA series has established itself for experienced workers in the field. The series has also been of value to young researchers wishing both to extend their knowledge and experience and also to meet internationally renowned experts. The 2005 Conference, the seventh in the ICANNGA series, will take place at the University of Coimbra in Portugal, drawing on the experience of previous events, and following the same general model, combining technical sessions, including plenary lectures by renowned scientists, with tutorials.
Author: Roger W. Schvaneveldt
Publisher: Intellect (UK)
ISBN:
Category : Computers
Languages : en
Pages : 336
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Book Description
This volume is a presentation of the theory and application of Pathfinder networks. These networks are derived from proximity data, and they have various applications in cognitive modelling, user-computer interface design, and knowledge engineering.
Author: Thomas Trappenberg
Publisher: Oxford University Press
ISBN: 0192869361
Category : Medical
Languages : en
Pages : 411
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Book Description
Computational neuroscience is the theoretical study of the brain to uncover the principles and mechanisms that guide the development, organization, information processing, and mental functions of the nervous system. Although not a new area, it is only recently that enough knowledge has been gathered to establish computational neuroscience as a scientific discipline in its own right. Given the complexity of the field, and its increasing importance in progressing our understanding of how the brain works, there has long been a need for an introductory text on what is often assumed to be an impenetrable topic. The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the previous editions. It introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain. The book covers the introduction and motivation of simplified models of neurons that are suitable for exploring information processing in large brain-like networks. Additionally, it introduces several fundamental network architectures and discusses their relevance for information processing in the brain, giving some examples of models of higher-order cognitive functions to demonstrate the advanced insight that can be gained with such studies. Each chapter starts by introducing its topic with experimental facts and conceptual questions related to the study of brain function. An additional feature is the inclusion of simple Matlab programs that can be used to explore many of the mechanisms explained in the book. An accompanying webpage includes programs for download. The book will be the essential text for anyone in the brain sciences who wants to get to grips with this topic.
Author: Long Cheng
Publisher: Springer
ISBN: 3030041670
Category : Computers
Languages : en
Pages : 664
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Book Description
The seven-volume set of LNCS 11301-11307, constitutes the proceedings of the 25th International Conference on Neural Information Processing, ICONIP 2018, held in Siem Reap, Cambodia, in December 2018. The 401 full papers presented were carefully reviewed and selected from 575 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The first volume, LNCS 11301, is organized in topical sections on deep neural networks, convolutional neural networks, recurrent neural networks, and spiking neural networks.
Author: Douglas A. Chalmers
Publisher: Oxford University Press, USA
ISBN: 0198781849
Category : Political Science
Languages : en
Pages : 663
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Book Description
Against a broader backdrop of globalization and worldwide moves toward political democracy, The New Politics of Inequality in Latin America examines the unfolding relationships among social change, equity, and the democratic representation of the poor in Latin America.Recent Latin American governments have turned away from redistributive policies; at the same time, popular political and social organizations have been generally weakened, inequality has increased, and the gap between rich and poor has grown. Hanging in the balance is the consolidation and the quality of new or would-be democracies; this volume suggests that governments must find not just short-term programmes to alleviate poverty, but long-term means to ensure the effective integration of thepoor into political life.The New Politics of Inequality in Latin America bridges the intellectual chasm between, on the one hand, studies of grassroots politics, and on the other, explorations of elite politics and formal institution-building. It will be of interest to students and scholars of contemporary Latin American politics and society and, more generally, in the vicissitudes of democracy and citizenship in the late twentieth-century global system.
Author: Michael MacKuen
Publisher: University of Michigan Press
ISBN: 9780472068203
Category : Political Science
Languages : en
Pages : 364
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Book Description
Top scholars in the field survey the study of elections and democracy
Author: Raymond S. T. Lee
Publisher: Springer Nature
ISBN: 9811576955
Category : Computers
Languages : en
Pages : 411
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Book Description
Given the exponential growth of Artificial Intelligence (AI) over the past few decades, AI and its related applications have become part of daily life in ways that we could never have dreamt of only a century ago. Our routines have been changed beyond measure by robotics and AI, which are now used in a vast array of services. Though AI is still in its infancy, we have already benefited immensely. This book introduces readers to basic Artificial Intelligence concepts, and helps them understand the relationship between AI and daily life. In the interest of clarity, the content is divided into four major parts. Part I (AI Concepts) presents fundamental concepts of and information on AI; while Part II (AI Technology) introduces readers to the five core AI Technologies that provide the building blocks for various AI applications, namely: Machine Learning (ML), Data Mining (DM), Computer Vision (CV), Natural Languages Processing (NLP), and Ontology-based Search Engine (OSE). In turn, Part III (AI Applications) reviews major contemporary applications that are impacting our ways of life, working styles and environment, ranging from intelligent agents and robotics to smart campus and smart city projects. Lastly, Part IV (Beyond AI) addresses related topics that are vital to the future development of AI. It also discusses a number of critical issues, such as AI ethics and privacy, the development of a conscious mind, and autonomous robotics in our daily lives.
Author: W. James Potter
Publisher: SAGE
ISBN: 1452278725
Category : Language Arts & Disciplines
Languages : en
Pages : 417
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Book Description
"Arguing for a General Framework for Mass Media Scholarship challenges scholars and students to consider and reconsider what we know about media and how we think about media. As such, the book provides an important framework for thinking about knowledge—regardless of the discipline... The text provides all of the necessary tools to move the field forward in a way that will increase the rigor of the work being done and augment the overall profile of the discipline." –Dana Mastro, University of Arizona In this groundbreaking book, W. James Potter presents an innovative perspective to media scholars and students who are frustrated with the fragmentation of research findings across so many journals, books, and fields. Arguing for a General Framework for Mass Media Scholarship presents a clear plan for a more efficient way to build knowledge about the mass media so that it can be better organized and made more useful. Key Features Conducts an in-depth analysis of mass media scholarship′s four major facets of effects, content, audiences, and organizations Presents a significant shift in conceptualizing media effects and ways research can be conducted to generate more useful knowledge about media influence Develops "narrative line" as a tool to guide analyses about how content decisions are made by producers Synthesizes a system of explanation about why audiences attend to certain messages and how individuals construct meaning from those messages Incorporates an analysis of mass media organizations to provide greater context of understanding messages and their effects on individuals and macro units in society "The book will play an important role in providing structure to a broad, fragmented discipline. I believe it will, at the very least, create important dialogues about what we now know/understand about areas of mass media, and where we should move as a discipline... This book is clearly a ′call to arms′ for mass media scholars to ratchet up the quality of research (and what we know), to see the interconnections within and among strands of scholarship, and to move forward in a more efficient, organized manner. Professor Potter should be commended for this." —Roger Cooper, Ohio University "This book is...that call to action that comes forward every few years, to wake us up and challenge our ways of doing things, not by being radical, but via synthesis... I′ve been waiting for several years for a book like this." —Sahara Byrne, Cornell University
