Novel Art-Based Neural Network Models For Pattern Classification, Rule Extraction And Data Regression

This thesis is concerned with the development of novel neural network models for tackling pattern classification, rule extraction, and data regression problems. The research focuses on one of the advanced features of neural networks, i.e., the incremental learning ability. This ability relates to continuous learning of new knowledge without disturbing the existing knowledge base and without re-iterating through the training samples. The Adaptive Resonance Theory (ART) and Generalized Regression Neural Network (GRNN) models are employed as the backbone in this research

Considerations in designing a cybernetic simple 'learning' model; and an overview of the problem of modelling learning

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Learning is viewed as a central feature of living systems and must be manifested in any artifact that claims to exhibit general intelligence. The central aims of the thesis are twofold: (1) - To review and critically assess the empirical and theoretical aspects of learning as have been addressed in a multitude of disciplines, with the aim of extracting fundamental features and elements. (2) - To develop a more systematic approach to the cybernetic modelling of learning than has been achieved hitherto. In pursuit of aim (1) above the following discussions are included: Historical and Philosophical backgrounds; Natural learning, both physiological and psychological aspects; Hierarchies of learning identified in the evolutionary, functional and developmental senses; An extensive section on the general problem of modelling of learning and the formal tools, is included as a link between aims (1) and (2). Following this a systematic and historically oriented study of cybernetic and other related approaches to the problem of modelling of learning is presented. This then leads to the development of a state-of-the-art general purpose experimental cybernetic learning model. The programming and use of this model is also fully described, including an elaborate scheme for the manifestation of simple learning

A Unifying Field in Logics: Neutrosophic Logic.

The author makes an introduction to non-standard analysis, then extends the dialectics to “neutrosophy” – which became a new branch of philosophy. This new concept helps in generalizing the intuitionistic, paraconsistent, dialetheism, fuzzy logic to “neutrosophic logic” – which is the first logic that comprises paradoxes and distinguishes between relative and absolute truth. Similarly, the fuzzy set is generalized to “neutrosophic set”. Also, the classical and imprecise probabilities are generalized to “neutrosophic probability”

Money, beer, and toys : essays on consumer decision making

Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, 2006.Includes bibliographical references.Essay 1: Shopping Goals, Goal Concreteness, and Conditional Promotions. We propose a two-stage model to describe the increasing concreteness of consumers' goals during the shopping process, testing the model through a series of field experiments at a convenience store. Using a number of different process measures (experiment 1), we first established that consumers are less certain of their shopping goals and construe products in less concrete terms when they are in the first (vs. second) stage of the shopping process. The results of experiments 2 and 3 next demonstrate that goal-evoking marketing promotions (e.g. conditional coupons) are more effective in influencing consumers' spending when consumers' goals are less concrete. Essay 2: Try It, You'll Like It: The Influence of Expectation, Consumption, and Revelation on Preferences for Beer. Patrons of a pub evaluated regular beer and "MIT brew" (the same regular beer with some balsamic vinegar) in one of three conditions. One group tasted them blind (the secret ingredient was never disclosed). A second group was informed of the contents before tasting. A third group learned of the secret ingredient immediately after tasting, but prior to indicating their preference.(cont.) Not surprisingly, preference for the MIT brew was higher in the blind condition than either of the two disclosure conditions. However, the timing of the information mattered substantially. Disclosure of the secret ingredient significantly reduced preference only in the before condition, when it preceded tasting, suggesting that disclosure affected preferences by influencing the experience itself, rather than by acting as an independent negative input or by modifying one's retrospective interpretation of the experience. Essay 3: In Search of Homo Economicus: Preference Consistency, Emotions, and Cognition. Understanding the roles of emotion and cognition in forming preferences is critical in helping firms choose effective marketing strategies and consumers make appropriate consumption decisions. In this work, we investigate the role of the emotional and cognitive systems in preference consistency (transitivity). Participants were asked to make a set of binary choices under conditions that were aimed to tap emotional versus cognitive decision processes.(cont.) The results of three experiments consistently indicate that automatic affective responses are associated with higher levels of preference transitivity than deliberate cognitive considerations, and suggest that the basis of this central aspect of rational behavior-transitivity-lies in the limbic system rather than the cortical system.by Leonard Whee-Chun Lee-Loon Lee.Ph.D

A UNIFYING FIELD IN LOGICS: NEUTROSOPHIC LOGIC. NEUTROSOPHY, NEUTROSOPHIC SET, NEUTROSOPHIC PROBABILITY AND STATISTICS

In 1960s Abraham Robinson has developed the non-standard analysis, a formalization of analysis and a branch of mathematical logic, which rigorously defines the infinitesimals

A UNIFYING FIELD IN LOGICS: NEUTROSOPHIC LOGIC. NEUTROSOPHY, NEUTROSOPHIC SET, NEUTROSOPHIC PROBABILITY AND STATISTICS - 6th ed.

It was a surprise for me when in 1995 I received a manuscript from the mathematician, experimental writer and innovative painter Florentin Smarandache, especially because the treated subject was of philosophy - revealing paradoxes - and logics. He had generalized the fuzzy logic, and introduced two new concepts: a) “neutrosophy” – study of neutralities as an extension of dialectics; b) and its derivative “neutrosophic”, such as “neutrosophic logic”, “neutrosophic set”, “neutrosophic probability”, and “neutrosophic statistics” and thus opening new ways of research in four fields: philosophy, logics, set theory, and probability/statistics. It was known to me his setting up in 1980’s of a new literary and artistic avant-garde movement that he called “paradoxism”, because I received some books and papers dealing with it in order to review them for the German journal “Zentralblatt fur Mathematik”. It was an inspired connection he made between literature/arts and science, philosophy. We started a long correspondence with questions and answers. Because paradoxism supposes multiple value sentences and procedures in creation, antisense and non-sense, paradoxes and contradictions, and it’s tight with neutrosophic logic, I would like to make a small presentation