The Focusing Hypothesis


Book Description

This book explores the nature of the control of language processing by the hemispheres of the neocortex. The author expounds a novel hypothesis, “The Focusing Hypothesis”, which holds that language processing in the brain is achieved through analytic and holistic systems, the former through left and the latter through right hemisphere processing. This hypothesis differs from current thinking in so far as it proposes that the involvement of the two systems (and two hemispheres) depends on the strategy selected by the speaker and that the engagement by one hemisphere over another will depend upon the communicative intent of the speaker and the propositionality of the utterance under production.Throughout the book there are useful and important discussions on such topics as the value of laboratory-based psycholinguistic experiments — given their tendency to encourage a “metalinguistic” strategy on the part of subjects, the nature of propositionality in language and brain and the difficulties of testing this hypothesis given the research approaches currently available.The Focusing Hypothesis is tested by comprehensive review of the existing experimental psycholinguistic, neuropsychological and neurophysiological literature, and a range of predictions which follow from the hypothesis are detailed.




Focusing Solutions for Data Mining


Book Description

In the first part, this book analyzes the knowledge discovery process in order to understand the relations between knowledge discovery steps and focusing. The part devoted to the development of focusing solutions opens with an analysis of the state of the art, then introduces the relevant techniques, and finally culminates in implementing a unified approach as a generic sampling algorithm, which is then integrated into a commercial data mining system. The last part evaluates specific focusing solutions in various application domains. The book provides various appendicies enhancing easy accessibility. The book presents a comprehensive introduction to focusing in the context of data mining and knowledge discovery. It is written for researchers and advanced students, as well as for professionals applying data mining and knowledge discovery techniques in practice.




Behavioral Decision Theory


Book Description

This book is the second edition of Behavioral Decision Theory, published in 2014. The main approach and structure of this book have been retained in the new edition. However, this second edition provides a fresh overview of the idea of behavioral decision theory and related research findings such as theoretical and empirical discoveries of preference formation, time discounting, social interaction, and social decision making. The book covers a wide range from classical to relatively recent major studies concerning behavioral decision theory, which, in brief, is a general term for descriptive theories to explain the psychological knowledge related to people’s decision-making behavior. It is called a theory but is actually a combination of various psychological theories, for which no axiomatic systems—such as those associated with the utility theory widely used in economics—have been established. The utility theory is often limited to qualitative knowledge; however, as the studies of Nobel laureates H. A. Simon, D. Kahneman, and R. Thaler have suggested, the psychological methodology and knowledge of behavioral decision theory have been applied widely in such fields as economics, business administration, and engineering and are expected to become even more useful in the future. Research into people’s decision making represents an important part in those fields, various aspects of which overlap with the scope of behavioral decision theory. This theory is closely related to behavioral economics and behavioral finance, which have come into greater use in recent years. This book will appeal especially to graduate students, advanced undergraduate students, and researchers who are interested in decision-making phenomena.




Escaping from Bad Decisions


Book Description

Escaping from Bad Decisions presents a modern conceptual and mathematical framework of the decision-making process. By interpreting ordinal utility theory as normative analysis examined in view of rationality, it shows how decision-making under certainty, risk, and uncertainty can be better understood. It provides a critical examination of psychological models in multi-attribute decision-making, and evaluates the constitutive elements of "good" and "bad" decisions. Multi-attribute decision-making is analysed descriptively, based on the psychological model of decision-making and computer simulations of decision strategies. Finally, prescriptive examinations of multi-attribute decision-making are performed, supporting the argument that decision-making from a pluralistic perspective creates results that can help "escape" from bad decisions. This book will be of particular interest to graduate students and early career researchers in economics, decision-theory, behavioral economics, experimental economics, psychology, cognitive sciences, and decision neurosciences. - Provides a comprehensive background to the phenomena of bad decisions, considered in their economic, psychological and cognitive aspects - Reinterprets existing theories and phenomena and proposes a new overview of decision behaviors by integrating mathematical and psychological perspectives - Adapts model-based techniques, such as mathematical model based functional magnetic resonance imaging (fMRI) using mathematical models of the decision process




Computer Vision - ECCV 2006


Book Description




Reverse Hypothesis Machine Learning


Book Description

This book introduces a paradigm of reverse hypothesis machines (RHM), focusing on knowledge innovation and machine learning. Knowledge- acquisition -based learning is constrained by large volumes of data and is time consuming. Hence Knowledge innovation based learning is the need of time. Since under-learning results in cognitive inabilities and over-learning compromises freedom, there is need for optimal machine learning. All existing learning techniques rely on mapping input and output and establishing mathematical relationships between them. Though methods change the paradigm remains the same—the forward hypothesis machine paradigm, which tries to minimize uncertainty. The RHM, on the other hand, makes use of uncertainty for creative learning. The approach uses limited data to help identify new and surprising solutions. It focuses on improving learnability, unlike traditional approaches, which focus on accuracy. The book is useful as a reference book for machine learning researchers and professionals as well as machine intelligence enthusiasts. It can also used by practitioners to develop new machine learning applications to solve problems that require creativity.




Knowledge Engineering and Agent Technology


Book Description

The use of Knowledge Engineering and Agent Technology (KEAT) for application development is now recognized as an alternative to conventional software techniques in many application domains. From the background of the IFIP IT&KNOWS conference held in late 1998, this volume aims to discuss the role and the perspectives of domain models and corresponding reasoning processes in the different application fields under a common perspective to create conceptual bases and methods to develop and to improve the use of this type of approach in the context of information technology.




Minimal Answers


Book Description

This book offers a new contribution to the debate concerning the acquisition of the syntax-discourse interface. It provides evidence that children acquiring European Portuguese have a very early ability to spontaneously produce VP ellipsis as answers to yes-no questions. It is also argued that the distribution of VP ellipsis in European Portuguese (including its co-existence with Null Complement Anaphora) supports the hypothesis that the identification condition on ellipsis is derivable from some innate knowledge of the syntax-discourse interface. Answers to yes-no questions also provide evidence concerning children's interpretation of questions containing a cleft or the operator só 'only'. The analysis of spontaneous production is complemented by a comprehension experiment, showing that children have two problems in the interpretation of these questions: (i) they do not understand that the cleft and só introduce a presupposition and (ii) they start with a default focus assignment strategy and may not access other focus interpretations.




Expectation in Economics


Book Description

First published in 1952, this book contains a discussion of the role of expectation in relation to the workings of the economy.




The Nature of Expertise


Book Description

Due largely to developments made in artificial intelligence and cognitive psychology during the past two decades, expertise has become an important subject for scholarly investigations. The Nature of Expertise displays the variety of domains and human activities to which the study of expertise has been applied, and reflects growing attention on learning and the acquisition of expertise. Applying approaches influenced by such disciplines as cognitive psychology, artificial intelligence, and cognitive science, the contributors discuss those conditions that enhance and those that limit the development of high levels of cognitive skill.