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Generalization of Knowledge by Marie T. Banich,Donna Caccamise Pdf
This volume takes a multidisciplinary perspective on generalization of knowledge from several fields associated with Cognitive Science, including Cognitive Neuroscience, Computer Science, Education, Linguistics, Developmental Science, and Speech, Language and Hearing Sciences. The aim is to derive general principles from triangulation across different disciplines and approaches.
Subjectivity and Knowledge by Charlotte Højholt,Ernst Schraube Pdf
Based on a collection of chapters of leading scholars in the field, the purpose of this book is to intervene in current debates on the scientific foundation of psychological theory, methodology and research practice, and to offer an in-depth, situated and contextual understanding of psychological generalization. This book aims to contribute to a theoretical and methodological vocabulary which includes the subjective dimension of human life in psychological inquiry, and roots processes of generalization in persons’ common, social, cultural and material practices of everyday living. The volume is directed to students, professors, and researchers in psychology as well as to scholars in other branches of the humanities and social science where psychology and especially subjectivity, everyday practice and the development of psychological knowledge is an issue. The volume will be of particular interest to scholars in the field of cultural psychology, critical psychology, psychology of everyday life as well as psychological methodology and qualitative studies of everyday life including the various critical undergraduate, graduate, master, and PhD programs. The book will also be of special interest for scholars working in social psychology, history of psychology, general psychology, theoretical psychology, environmental psychology and political psychology.
Knowledge-Based and Intelligent Information and Engineering Systems, Part IV by Andreas König,Andreas Dengel,Knut Hinkelmann,Koichi Kise,Robert J. Howlett,Lakhmi C. Jain Pdf
The four-volume set LNAI 6881-LNAI 6884 constitutes the refereed proceedings of the 15th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2011, held in Kaiserslautern, Germany, in September 2011. Part 4: The total of 244 high-quality papers presented were carefully reviewed and selected from numerous submissions. The 46 papers of Part 4 are organized in topical sections on human activity support in knowledge society, knowledge-based interface systems, model-based computing for innovative engineering, document analysis and knowledge science, immunity-based systems, natural language visualisation advances in theory and application of hybrid intelligent systems.
A New Paradigm of Knowledge Engineering by Soft Computing by Liya Ding Pdf
Soft computing (SC) consists of several computing paradigms, including neural networks, fuzzy set theory, approximate reasoning, and derivative-free optimization methods such as genetic algorithms. The integration of those constituent methodologies forms the core of SC. In addition, the synergy allows SC to incorporate human knowledge effectively, deal with imprecision and uncertainty, and learn to adapt to unknown or changing environments for better performance. Together with other modern technologies, SC and its applications exert unprecedented influence on intelligent systems that mimic human intelligence in thinking, learning, reasoning, and many other aspects. Knowledge engineering (KE), which deals with knowledge acquisition, representation, validation, inferencing, explanation, and maintenance, has made significant progress recently, owing to the indefatigable efforts of researchers. Undoubtedly, the hot topics of data mining and knowledge/data discovery have injected new life into the classical AI world. This book tells readers how KE has been influenced and extended by SC and how SC will be helpful in pushing the frontier of KE further. It is intended for researchers and graduate students to use as a reference in the study of knowledge engineering and intelligent systems. The reader is expected to have a basic knowledge of fuzzy logic, neural networks, genetic algorithms, and knowledge-based systems. Contents: Knowledge Engineering and Soft Computing OCo An Introduction (L-Y Ding); Fuzzy Knowledge-Based Systems: Linguistic Integrity: A Framework for Fuzzy Modeling OCo AFRELI Algorithm (J Espinosa & J Vandewalle); A New Approach to Acquisition of Comprehensible Fuzzy Rules (H Ohno & T Furuhashi); Fuzzy Rule Generation with Fuzzy Singleton-Type Reasoning Method (Y Shi & M Mizumoto); Antecedent Validity Adaptation Principle for Table Look-Up Scheme (P-T Chan & A B Rad); Fuzzy Spline Interpolation in Sparse Fuzzy Rule Bases (M F Kawaguchi & M Miyakoshi); Revision Principle Applied for Approximate Reasoning (L-Y Ding et al.); Handling Null Queries with Compound Fuzzy Attributes (S-L Wang & Y-J Tsai); Fuzzy System Description Language (K Otsuka et al.); Knowledge Representation, Integration, and Discovery by Soft Computing: Knowledge Representation and Similarity Measure in Learning a Vague Legal Concept (M Q Xu et al.); Trend Fuzzy Sets and Recurrent Fuzzy Rules for Ordered Dataset Modelling (J F Baldwin et al.); Approaches to the Design of Classification Systems from Numerical Data and Linguistic Knowledge (H Ishibuchi et al.); A Clustering Based on Self-Organizing Map and Knowledge Discovery by Neural Network (K Nakagawa et al.); Probabilistic Rough Induction (J-Z Dong et al.); Data Mining via Linguistic Summaries of Databases: An Interactive Approach (J Kacprzyk & S Zadrozny); and other papers. Readership: Graduate students, researchers and lecturers in knowledge engineering and soft computing."
Machine Learning and Knowledge Discovery in Databases. Research Track by Nuria Oliver,Fernando Pérez-Cruz,Stefan Kramer,Jesse Read,Jose A. Lozano Pdf
The multi-volume set LNAI 12975 until 12979 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2021, which was held during September 13-17, 2021. The conference was originally planned to take place in Bilbao, Spain, but changed to an online event due to the COVID-19 pandemic. The 210 full papers presented in these proceedings were carefully reviewed and selected from a total of 869 submissions. The volumes are organized in topical sections as follows: Research Track: Part I: Online learning; reinforcement learning; time series, streams, and sequence models; transfer and multi-task learning; semi-supervised and few-shot learning; learning algorithms and applications. Part II: Generative models; algorithms and learning theory; graphs and networks; interpretation, explainability, transparency, safety. Part III: Generative models; search and optimization; supervised learning; text mining and natural language processing; image processing, computer vision and visual analytics. Applied Data Science Track: Part IV: Anomaly detection and malware; spatio-temporal data; e-commerce and finance; healthcare and medical applications (including Covid); mobility and transportation. Part V: Automating machine learning, optimization, and feature engineering; machine learning based simulations and knowledge discovery; recommender systems and behavior modeling; natural language processing; remote sensing, image and video processing; social media.
Current Trends in Knowledge Acquisition by Bob Wielinga Pdf
Knowledge acquisition has become a major area of artificial intelligence and cognitive science research. The papers in this book show that the area of knowledge acquisition for knowledge-based systems is still a diverse field in which a large number of research topics are being addressed. However, several main themes run through the papers. First, the issues of integrating knowledge from different sources and K.A. tools is a salient topic in many papers. A second major topic in the papers is that of knowledge modelling. Research in knowledge-based systems emphasises the use of generic models of reasoning and its underlying knowledge. An important trend in the area of knowledge modelling aims at the formalisation of knowledge models. Where the field of knowledge acquisition was without tools and techniques years ago, now there is a rapidly growing body of techniques and tools. Apart from the integrated workbenches already mentioned above, several papers in this book present new tools. Although knowledge acquisition and machine learning have been considered as separate subfields of AI, there is a tendency for the two fields to come together. This publication combines machine learning techniques with more conventional knowledge elicitation techniques. A framework is presented in which reasoning, problem solving and learning together form a knowledge intensive system that can acquire knowledge from its own experience.
Generalization of Knowledge by Marie T. Banich,Donna Caccamise Pdf
"This book is an ambitious interdisciplinary undertaking to shed light on an important cognitive process. Never before have biological, developmental, and educational perspectives on knowledge generalization been brought together under one cover. This effort is a model for future interdisciplinary approaches to studying cognition and learning."---Tamara Sumner, Ph.D. --
An Analytical Approach To Evidence by Ronald Jay Allen,David S. Schwartz,Michael S. Pardo,Alex Stein Pdf
Buy a new version of this textbook and receive access to the Connected eBook with Study Center on CasebookConnect, including: lifetime access to the online ebook with highlight, annotation, and search capabilities; practice questions from your favorite study aids; an outline tool and other helpful resources. Connected eBooks provide what you need most to be successful in your law school classes. Learn more about Connected eBooks. A problem-based Evidence coursebook that presents the Federal Rules of Evidence in context, illuminates the rules’ underlying theories and perspectives, and provides a fully updated and systematic account of the law in a student-friendly hornbook-style format. The material is accompanied with straightforward and systematic explanations. Lively discussion and interesting problems (rather than numerous appellate case excerpts) engage students in understanding the principles, policies, and debates that surround evidence law. The book also contains self-assessment sections in each chapter that teach students how to identify and resolve legal issues and succeed in the final exam. To sum up: this book stands out as “all in one”: it gives students of evidence an up-to-date comprehensive account of the law; it explains complex evidentiary issues in a straightforward and systematic fashion; and it also tells students what their exam will look like and how to succeed in it. New to the Seventh Edition: A new case file to introduce numerous evidence issues throughout the semester, with spin-off problems in each chapter. Updated doctrine, including application of evidence rules to electronic evidence and the online environment. Professors and students will benefit from: An opening case file introducing students to the process of analyzing evidence in terms of the essential elements of a legal dispute, serving as an effective introduction to much of the course to follow A wide range of real-world problems exposes students to the depth and complexity of the Rules of Evidence Every chapter addresses basic rules interpretation, essential policy, and connects theory to practice Assessment problems (modeled on exam questions) at the end of each chapter, including answers with explanations Teaching materials Include: Updated and streamlined Teacher’s Manual, including sample syllabi for both 4- and 3-credit courses, transition guide for each chapter, teaching guidance, and answers to all the problems in the book Problems Supplement that includes most problems deleted from prior editions
Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXVI by Abdelkader Hameurlain,Josef Küng,Roland Wagner,Tran Khanh Dang,Nam Thoai Pdf
This volume, the 36th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains eight revised, extended papers selected from the 3rd International Conference on Future Data and Security Engineering, FDSE 2016, and the 10th International Conference on Advanced Computing and Applications, ACOMP 2016, which were held in Can Tho City, Vietnam, in November 2016. Topics covered include big data analytics, massive dataset mining, security and privacy, cryptography, access control, deep learning, crowd sourcing, database watermarking, and query processing and optimization.
Fuzzy Systems and Knowledge Discovery by Lipo Wang,Licheng Jiao,Guanming Shi,Xue Lu,Jing Liu Pdf
This book constitutes the refereed proceedings of the Third International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2006, held in federation with the Second International Conference on Natural Computation ICNC 2006. The book presents 115 revised full papers and 50 revised short papers. Coverage includes neural computation, quantum computation, evolutionary computation, DNA computation, fuzzy computation, granular computation, artificial life, innovative applications to knowledge discovery, finance, operations research, and more.
Experience, Variation and Generalization by Inbal Arnon,Eve V. Clark Pdf
Are all children exposed to the same linguistic input, and do they follow the same route in acquisition? The answer is no: The language that children hear differs even within a social class or cultural setting, as do the paths individual children take. The linguistic signal itself is also variable, both within and across speakers - the same sound is different across words; the same speech act can be realized with different constructions. The challenge here is to explain, given their diversity of experience, how children arrive at similar generalizations about their first language. This volume brings together studies of phonology, morphology, and syntax in development, to present a new perspective on how experience and variation shape children's linguistic generalizations. The papers deal with variation in forms, learning processes, and speaker features, and assess the impact of variation on the mechanisms and outcomes of language learning.
Integrated Approaches in Information Technology and Web Engineering: Advancing Organizational Knowledge Sharing by Alkhatib, Ghazi I.,Rine, David C. Pdf
Provides a collection of authoritative articles from distinguished international researchers in information technology and Web engineering.
Ontology-Based Applications for Enterprise Systems and Knowledge Management by Nazir Ahmad, Mohammad Pdf
"This book provides an opportunity for readers to clearly understand the notion of ontology engineering and the practical aspects of this approach in the domains of two interest areas: Knowledge Management Systems and Enterprise Systems"--