Wagman gives a broad, structured, and detailed account of advancing intellectual developments in both psychological and computational theories of the nature of problem- solving. Known for originating the PLATO computer-based Dilemma Counseling System, psychologist Wagman is the author of 17 books, including "Scientific Discovery Processes in Humans and Computers "(Praeger, 2000).

In this book, Professor Emeritus Morton Wagman gives a broad, structured, and detailed account of advancing intellectual developments in both psychological and computational theories of the nature of problem solving. Known for originating the PLATO computer-based Dilemma Counseling System, psychologist Wagman is the author of 17 books, including "Scientific Discovery Processes in Humans and Computers, "(Praeger, 2000)

Of special interest to readers will be Wagman's conclusion that artificial intelligence problem-solving systems are deepening and broadening theories of human problem solving from scientific to everyday approaches. Scholars and professionals in psychology, artificial intelligence, and cognitive science will consider this a volume a valuable addition to their collections.

This scholarly treasury of over 450 distinguished quotations, divided into 170 categories, focuses on the best thinking in the disciplines of psychology, philosophy, and artificial intelligence, from the classical period of Greece to contemporary cognitive science. Quotations are arranged chronologically within categories. This work will be of interest to scholars and professionals in psychology, artificial intelligence, and cognitive science as well as undergraduate and graduate students in these disciplines.

In an evaluation of the strengths and limitations of artificial intelligence in a number of intellectual domains, Wagman draws comparisons with human cognitive ability in those domains, and assesses its role as a theoretical model, as a collaborator, or as a competitor of the human mind. This book distinguishes itself in its structured and detailed account of advancing intellectual developments in the science of artificial intelligence as opposed to a highly technical or vague philosophical treatment of the topic.

A comprehensive analysis of current theory and research in the psychological, computational, and neural sciences elucidates the stuctures and processes of language and thought. Chapters discuss language comprehension and artificial intelligence, ARCS system for analogical retrieval, ACME model of analogical mapping, PAULINE, an artificial intelligence system for pragmatic language generation, a theory of understanding of spoken and written text, recent developments and effect of different modes of language representation on the efficiency of information processing. This book will be of interest to professionals and scholars in psychology, artificial intelligence, and cognitive science.

The advancement of knowledge concerning the complexities of human intellective processes can best be achieved by combining theory and research from the disciplines of cognitive psychology and artificial intelligence. Wagman explores various aspects of these disciplines to further his ideas. He examines the nature of the human intellect and proposes a theory of representation and intelligence that is applicable to human, computer, and animal cognition. He also evaluates theory and research concerned with structure and process in human reasoning and human problem solving. Several scientific discovery systems including BACON, FARENHEIT, and IDS are described in depth. The ability of these systems to emulate solutions to 10 types of scientific problems is examined. The capacity theory of language comprehension is also presented and extended to the domain of cognitive processes.

Wagman offers a critical analysis of current theory and research in the psychological and computational sciences, directed toward the elucidation of scientific discovery processes and structures. It discusses human scientific discovery processes, analyzes computer scientific discovery processes, and makes a comparative evaluation of the two. This work examines the scientific reasoning of the discoverers of the inhibition mechanism of gene control; scientific discovery heuristics used at different developmental levels; artificial intelligence and mathematical discovery; the ECHO system; the evolution of artificial intelligence discovery systems; the PAULI system; and the KEKADA system. It concludes with an examination of the extent to which computational discovery systems can emulate a set of 10 types of scientific problems.

This scholarly book presents and critically evaluates the outstanding contributions of both cognitive psychology and artificial intelligence to our understanding of the nature of intelligence and intelligent systems. Examining conceptual thought across the domains of reasoning and logic, language and analogy, and scientific discovery, Wagman compares human reasoning with computer reasoning. Of special interest to readers is the general critique of artificial intelligence research directed toward the ultimate objective of mapping and surpassing all of human knowledge.

The first chapter examines the theoretical foundations of the logical approach to artificial intelligence and the centrality of declarative knowledge and the predicate calculus. The artifical intelligence system, CYC, is critically examined with respect to its avowed objective of matching or surpassing human intelligence. The second chapter focuses on the probabilistic contrast model of causal reasoning and underscores its significance as a mathematical conceptualization of human reasoning. In the third chapter, the ARCS (Analogical Retrieval by Constraint Satisfaction) system is discussed and its psychological validity is evaluated. In the fourth chapter, scientific heuristics characteristics of different developmental levels and differentially applied in the discovery spaces of hypotheses and experiments are analyzed in the context of the philosophy of science. The fifth chapter presents the logic, principles, and applications of PAULINE, a pragmatic language generation system and explains human language pragmatics.

Wagman presents a general, unified theory of artificial and human intelligence under which the nature of human reasoning, problem solving, analogical thinking, and scientific discovery is examined from theoretical, research and computational perspectives. The work analyzes foundational issues regarding the nature of intelligent systems and intelligence, and significant and current research in the area is discussed. This book will be of interest to scholars dealing with psychology, artificial intelligence and cognitive science.

For all of recorded history prior to the second half of the twentieth century, there has been but one realm in which the cognitive processes of reasoning and problem solving, learning and discovery, language and mathematics took place. The realm of human intellect no longer has an exclusive claim on these cognitive processes--artificial intelligence represents a parallel claim. Morton Wagman's text compares the two realms, identifies consonant and disparate modes of cognition, and identifies a general theory of human and artificial intelligence.

A general theory of intellect entails the specific components of intellect as conceptualized in the domains of human and artificial intelligence. These specific components include the conceptual areas of reasoning, language, learning, and discovery. Theories of these components of intellect, as well as problem solving, logic, and memory, are systematically examined and compared. Following the introductory chapter, each succeeding chapter focuses on a major cognitive component. Each component is analyzed from the perspectives of both human intellect and artificial intelligence. These dual perspectives are then compared, taking account of basic theory and contemporary research. The technical theory and research is considered against a broad background of intellectual history and psychological implication. "Cognitive Science and Concepts of Mind" is intended for graduate and advanced undergraduate students in cognitive science programs, psychology, philosophy, and artificial intelligence courses. Wagman's book will also be of interest to professionals in these and related disciplines.

A scholarly examination of the centrality of the mind-body problem within and across the science of cognition--from philosophy to psychology to artificial intelligence to neural science. Conceptions of the mind-body problem range from the heritage of Cartesianism to the identification of the circumscribed brain structures responsible for domain specific cognitive mechanisms. Neither narrowly technical nor philosophically vague, this is a structured and detailed account of advancing intellectual developments in theory, research, and knowledge illumined by the conceptual vicissitudes of the mind-body problem. This unique treatment will be of special interest to creative scholars in the disciplines of he sciences of cognition.

Advancing research in artificial intelligence is creating reasoning systems that increasingly emulate or surpass the power of human reasoning. This volume presents a critical analysis of current theory and research in psychological and computational sciences addressing reasoning processes. Distinguished from narrowly technical books on the one hand, and from general philosophical books on the other, this work gives a broad, structured, detailed, and critical account of advancing intellectual developments in theories on the nature of reasoning. Of special interest is the conclusion that artificial intelligence reasoning systems are deepening and broadening theories of human reasoning.

A unified theory of intelligent reasoning encompassing natural and computational systems is an important current objective of cognitive science. Reasoning systems such as the CHARADE program, which simulates the course of inductive reasoning leading to medical discoveries, and the CONSYDERR program, which executes the robust theory of common sense reasoning, are important demonstrations of the feasibility of a unified theory of human and artificial intelligence.

The general unified theory of intelligence addresses the cognitive functions of thinking, reasoning, and problem solving. At an abstract level, this theory construes the intellective functions of humans and computers as, respectively, restricted and directed forms of the logic of implication. In other words, human intelligence operates according to production rules. Here, Wagman presents the central tenets and research elaboration of the general unified theory of intelligence that embraces both human and artifical intelligence across the cognitive domains of scientific discovery processes, inductive and deductive reasoning, and the mechanisms basic to analogical thinking and problem solving.

A critical examination of the advancing intellectual developments in artificial intelligence and evaluation of their salient philosophical and psychological implications. This book contains a wealth of research and theory across major domains of cognition that support the broad intellectual artificial intelligence objective of developing a structured and detailed unified science of human and computational intelligence.

The significant philosophical and psychological implications that derive from pursuing an extraordinary intellectual objective of developing an abstract science of intelligence supported by specific theory and research will be of special interest to creative scholars in the disciplines of the sciences of cognition. By considering philosophical and psychological implications derived directly from current theory and research, this book is distinguished from speculative books lacking in intellectual grounding.

Originally published in 1988, this was the first book to examine the development, application and evaluation of computer counselling and psychotherapy. Integrating concepts of artificial intelligence and psychotherapy, this book provided extensive research data that compared the human therapist to the computer therapist at the time. This title was intended for researchers, professionals, and students of psychotherapy and artificial intelligence. By exploring the automation of therapy and the design of empathetic software this book challenges counsellors and computer scientists to look at what may have been the most fascinating topic to arise in their fields for years to come.

Originally published in 1988, this was the first book to examine the development, application and evaluation of computer counselling and psychotherapy. Integrating concepts of artificial intelligence and psychotherapy, this book provided extensive research data that compared the human therapist to the computer therapist at the time. This title was intended for researchers, professionals, and students of psychotherapy and artificial intelligence. By exploring the automation of therapy and the design of empathetic software this book challenges counsellors and computer scientists to look at what may have been the most fascinating topic to arise in their fields for years to come.

Morton Wagman examines the emulation of human cognition by artificial intelligence systems. Human thought and computer thought are compared in their distinctiveness and commonality. The book provides detailed examples of artificial intelligence programs (such as the FERMI System and the KEKADA program) accomplishing highly intellectual tasks. This, together with its coverage of general theoretical perspectives on the nature of cognition, make this volume both a valuable sourcebook and a stimulus for students and professionals in cognitive science, psychology, philosophy, and artificial intelligence courses.

A general introduction to the computational modeling of cognition opens the book. Considered next are computational reasoning and human rationality. The range, depth, and sensitivity of mathematical and legal reasoning systems are compared with human mathematicians and human jurisprudence. General issues concerning the quality of human rationality are examined in several contexts: the prediction of economic behavior, mathematical abstraction and the concept of the infintesimal, and probalilistic judgement under uncertainty. Other chapters consider the nature of problem solving in the context of general intellectual principles and specific domain knowledge, the cognition of scientific discovery, and language representation modes and information processing efficiency. In the last chapter the most impressive intellectual achievements of AI systems are summarized. Directions for further intellectual research in this realm are also indicated.

The nature of cognition is examined by the methods of experimental cognitive psychology and the theoretical models of computational psychology. First explained is the nature and objectives of artificial intelligence, symbolic and connectionist paradigms, the architecture of cognition, and characteristics of a general theory of intelligence. Wagman then examines theory and research in human reasoning and reasoning systems. Experimental research in deductive and inductive reasoning, the nature of artificial intelligence reasoning systems, nonmonotonic and common-sense reasoning, and general types of reasoning in artificial intelligence are examined. Next the author examines the nature of human problem solving and problem-solving systems. Problem representation methods and their duplication by artificial intelligence is discussed at length. Concepts and research in human learning and learning systems are also reviewed, as are the nature of human expertise and expert systems.

Major characteristics of expertise including deep knowledge, reasoning strategies, and pattern recognition are described and exemplified in research concerned with medical expertise. The nature of intelligence and intelligence systems is examined, and the physical symbol system hypothesis and its results are analyzed. The author covers an artificial intelligence system that emulates the cognitive processes in scientific discovery and its implications for human creativity.