The "scientific field" of Artificial Intelligence (AI) began in the 1950s but the "concept" of artificial intelligence, the idea of something with mind-like attributes, predates it by centuries. This historically rich concept has served as a blueprint for the research into intelligent machines. But it also has staggering implications for our notions of who we are: our psychology, biology, philosophy, technology and society. This reference work provides scholars in both the humanities and the sciences with the material essential for charting the development of this concept.
The set brings together;
*primary texts from antiquity to the present, including the crucial foundational texts which defined the field of AI
* historical accounts, including both comprehensive overviews and detailed snapshots of key periods
* secondary material discussing the intellectual issues and he "scientific field" of Artificial Intelligence (AI)

Human Performance provides the student and researcher with a comprehensive and accessible review of performance, in the real world and essential cognitive science theory.
Four main sections cover both theoretical and practical issues: Section One outlines the perspectives on performance offered by contemporary cognitive science, including information processing and neuroscience perspectives.
Section Two presents a multi-level view of the performer as biological organism, information-processor and intentional agent. It reviews the development of the cognitive theory of performance through experimental studies and also looks at practical issues such as human error.
Section Three reviews the impact of stress factors such as noise, fatigue and illness on performance. Section Four assesses individual and group differences in performance with accounts of ability, personality and aging.


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Although cognitive engineering has gained widespread acceptance as one of the most promising approaches to addressing and preventing difficulties with human-machine coordination and collaboration, it still meets with considerable skepticism and resistance in some of the industries that could benefit from its insights and recommendations. The challenge for cognitive engineers is to better understand the reasons underlying these reservations and to overcome them by demonstrating and communicating more effectively their concepts, approaches, and proposed solutions. To contribute to this goal, the current volume presents concrete examples of cognitive engineering research and design. It is an attempt to complement the already existing excellent literature on cognitive engineering in domains other than aviation and to introduce professionals and students in a variety of domains to this rather young discipline.
The editors of this book, and the authors whose work is included, subscribe to the need to evaluate work in context. Accepting new paradigms for the study of humans working in complex environments, they view the human as an asset--indeed a necessity--in human-machine systems and they accept and take advantage of variations in human behavior. In addition, they recognize that much or most error is the result of mismatches between human capabilities and the demands placed on those humans by the machines which they use in the environments in which they are placed. As a whole, this volume illustrates how far we've come in understanding the cognitive bases of human work in complex human-machine systems.

Investigators have moved back and forth between design efforts and basic studies in cognition to improve both application and fundamental knowledge. This volume's theme is this interaction between practice and science with the opportunity for reflecting on findings in order to understand them and suggesting improved forms of application and their underlying explanation. This is seen in various arenas including theory-based computer-assisted instruction for teaching mathematics, the design of communities of learning in elementary schools, teaching in the context of problem-solving situations and reasoning with models, self-explanation as a highly effective learning activity, conceptual change in medical training and health education, and workplace training in electronic troubleshooting. The results of extensive long-term experience and analysis in each of these areas are insightfully reported by the well-known contributors to this volume.
Special features of this fifth edition include:
* The work of eminent cognitive scientists in the design and evaluation of educational and training environments to increase current understanding of learning and development, as this understanding is applied to innovative instructional programs and teaching methods.
* A description of learning theory and principles as well as implications and examples on research and development on educational application.
* A presentation on the 10-year change in perspective on research and development in problem solving environments that invite inquiry about academic information and skills in the context of instruction of elementary school children.
* An innovative approach to math and science instruction in which teaching is oriented around constructing, evaluating, and revising models.
* An examination of the process of self-explaining, which involves explaining to one's self in an attempt to make sense of a new situation.
* A description of a long-term program of cognitive task analysis and instructional design on problem solving in the operation of complex equipment.
* An investigation on the acquisition of clinical reasoning skills and the understanding of biomedical concepts in both professional medicine and the health practices of the lay population.

The field of the learning sciences is concerned with educational research from the dual perspectives of human cognition and computing technologies, and the application of this research in three integrated areas:
*Design: Design of learning and teaching environments, tools, or media, including innovative curricula, multimedia, artificial intelligence, telecommunications technologies, visualization, modeling, and design theories and activity structures for supporting learning and teaching.
*Cognition: Models of the structures and processes of learning and teaching by which knowledge, skills, and understanding are developed, including the psychological foundations of the field, learning in content areas, professional learning, and the study of learning enabled by tools or social structures.
*Social Context: The social, organizational, and cultural dynamics of learning and teaching across the range of formal and informal settings, including schools, museums, homes, families, and professional settings.
Investigations in the learning sciences approach these issues from an interdisciplinary stance combining the traditional disciplines of computer science, cognitive science, and education. This book documents the proceedings of the Fourth International Conference on the Learning Sciences (ICLS 2000), which brought together experts from academia, industry, and education to discuss the application of theoretical and empirical knowledge from learning sciences research to practice in K-12 or higher education, corporate training, and learning in the home or other informal settings.

Intelligent mental representations of physical, cognitive and social environments allow humans to navigate enormous search spaces, whose sizes vastly exceed the number of neurons in the human brain. This allows us to solve a wide range of problems, such as the Traveling Salesperson Problem, insight problems, as well as mathematics and physics problems. As an area of research, problem solving has steadily grown over time. Researchers in Artificial Intelligence have been formulating theories of problem solving for the last 70 years. Psychologists, on the other hand, have focused their efforts on documenting the observed behavior of subjects solving problems. This book represents the first effort to merge the behavioral results of human subjects with formal models of the causative cognitive mechanisms. The first coursebook to deal exclusively with the topic, it provides a main text for elective courses and a supplementary text for courses such as cognitive psychology and neuroscience.

Intelligent mental representations of physical, cognitive and social environments allow humans to navigate enormous search spaces, whose sizes vastly exceed the number of neurons in the human brain. This allows us to solve a wide range of problems, such as the Traveling Salesperson Problem, insight problems, as well as mathematics and physics problems. As an area of research, problem solving has steadily grown over time. Researchers in Artificial Intelligence have been formulating theories of problem solving for the last 70 years. Psychologists, on the other hand, have focused their efforts on documenting the observed behavior of subjects solving problems. This book represents the first effort to merge the behavioral results of human subjects with formal models of the causative cognitive mechanisms. The first coursebook to deal exclusively with the topic, it provides a main text for elective courses and a supplementary text for courses such as cognitive psychology and neuroscience.

'A terrific book - essential reading for everyone seeking to make sense of Artificial Intelligence' Professor Sir Adrian Smith, Director and Chief Executive of the Alan Turing Institute In this myth-busting guide to AI past and present, one of the world's leading researchers shows why our fears for the future are misplaced. The ultimate dream of AI is to build machines that are like us: conscious and self-aware. While this remains a remote possibility, rapid progress in AI is already transforming our world. Yet the public debate is still largely centred on unlikely prospects, from sentient machines to dystopian robot takeovers. In this lively and clear-headed guide, Michael Wooldridge challenges the prevailing narrative, revealing how the hype distracts us from both the more immediate risks that this technology poses - from algorithmic bias to fake news - and the true life-changing potential of the field. The Road to Conscious Machines elucidates the discoveries of AI's greatest pioneers from Alan Turing to Demis Hassabis, and what today's researchers actually think and do. 'Nobody understands the past, the present, the promise and the peril of this new technology better than Michael Wooldridge. The definitive account' Matt Ridley, author of The Rational Optimist 'Effortlessly readable. The perfect guide to the history and future of AI' Tom Chivers, author of The AI Does Not Hate You

What is the meaning of reason in our postmodern society today? Is reason a weapon of domination, or can it also serve as a means for emancipation? Is it possible for reason to understand its "other"--what it is not? Confronting such questions, "Bounds of Reason" is a compelling discussion of the limits and meaning of rationality as a tool for understanding the ideas of truth, justice and freedom. Emilia Steuerman explores the modernist and postmodernist controversy between Habermas and Lyotard to highlight the problems encountered both by a defense of reason and by the lack of meaning that haunts a world without it. Using Kleinian theory to examine the debate as it is manifested in the main philosophical themes of this century, Steuerman argues that a rational and ethical theory of justice must take into account that which is not rational, symmetrical or transparent--namely a primitive world of love and hatred which colors and shapes our perceptions.

Groping around a familiar room in the dark, or learning to read again after a traumatic brain injury; navigating a virtual landscape through an avatar, or envisioning a scene through the eyes of a character-all of these are expressions of one fundamental property of life, Alain Berthoz argues. They are instances of vicariance, when the brain sidesteps an impasse by substituting one process or function for another. In The Vicarious Brain, Creator of Worlds, Berthoz shows that this capacity is the foundation of the human ability to think creatively and function in a complex world. Vicariance is often associated with proxies and delegates, but it also refers to a biological process in which a healthy organ takes over for a defective counterpart. Berthoz, a neuroscientist, approaches vicariance through neuronal networks, asking how, for example, a blind person can develop a heightened sense of touch. He also describes how our brains model physical reality and how we use these models to understand things that are foreign to us. Forging across disciplinary boundaries, he explores notions of the vicarious in paleontology, ethology, art, literature, and psychology. Through an absorbing examination of numerous facets of vicariance, Berthoz reveals its impact on an individual's daily decision making and, more broadly, on the brain's creation of worlds. As our personal and social lives are transformed by virtual realities, it is more crucial than ever before that we understand vicariance within our increasingly complex environment, and as an aspect of our own multiplying identities.

An Unnatural History of Religions examines the origins, development, and critical issues concerning the history of religion and its relationship with science. The book explores the ideological biases, logical fallacies, and unwarranted beliefs that surround the scientific foundations (or lack thereof) in the academic discipline of the history of religions, positioning them in today's 'post-truth' culture. Leonardo Ambasciano provides the necessary critical background to evaluate the most important theories and working concepts dedicated to the explanation of the historical developments of religion. He covers the most important topics and paradigm shifts in the field, such as phenomenology, postmodernism, and cognitive science. These are taken into consideration chronologically, each time with case studies on topics such as shamanism, gender biases, ethnocentrism, and biological evolution. Ambasciano argues that the roots of post-truth may be deep in human biases, but that historical justifications change each time, resulting in different combinations. The surprising rise of once-fringe beliefs, such as conspiracy theories, pseudoscientific claims, and so-called scientific creationism, demonstrates the alarming influence that post-truth ideas may exert on both politics and society. Recognising them before they spread anew may be the first step towards a scientifically renewed study of religion.

Why are some people more mentally able than others ? In an authoritative, critical and intergrated series of review essays Professor Ian Deary inquires after the cognitive and biological foundations of human mental ability differences. Many accounts of intelligence have examined the structure and number of human mental ability differences and whether they can predict sucess in education,work and social life. Few books have taken psychometric intelligence differences as a starting point and brought together the reductionistic attempts to explain them.New to the highly acclaimed Oxford Psychology Series, Looking Down on Human Intelligence appraises the search for the origins of psychometric intelligence differences in terms of brain function parameters. The book provides an original and thought provoking guide to ancient and modern research on one of the most compelling questions in human psychology.

Why people are not as gullible as we think Not Born Yesterday explains how we decide who we can trust and what we should believe-and argues that we're pretty good at making these decisions. In this lively and provocative book, Hugo Mercier demonstrates how virtually all attempts at mass persuasion-whether by religious leaders, politicians, or advertisers-fail miserably. Drawing on recent findings from political science and other fields ranging from history to anthropology, Mercier shows that the narrative of widespread gullibility, in which a credulous public is easily misled by demagogues and charlatans, is simply wrong. Why is mass persuasion so difficult? Mercier uses the latest findings from experimental psychology to show how each of us is endowed with sophisticated cognitive mechanisms of open vigilance. Computing a variety of cues, these mechanisms enable us to be on guard against harmful beliefs, while being open enough to change our minds when presented with the right evidence. Even failures-when we accept false confessions, spread wild rumors, or fall for quack medicine-are better explained as bugs in otherwise well-functioning cognitive mechanisms than as symptoms of general gullibility. Not Born Yesterday shows how we filter the flow of information that surrounds us, argues that we do it well, and explains how we can do it better still.

Where do spontaneous thoughts come from? It may be surprising that the seemingly straightforward answers "from the mind" or "from the brain" are in fact an incredibly recent understanding of the origins of spontaneous thought. For nearly all of human history, our thoughts - especially the most sudden, insightful, and important - were almost universally ascribed to divine or other external sources. Only in the past few centuries have we truly taken responsibility for their own mental content, and finally localized thought to the central nervous system - laying the foundations for a protoscience of spontaneous thought. But enormous questions still loom: what, exactly, is spontaneous thought? Why does our brain engage in spontaneous forms of thinking, and when is this most likely to occur? And perhaps the question most interesting and accessible from a scientific perspective: how does the brain generate and evaluate its own spontaneous creations? Spontaneous thought includes our daytime fantasies and mind-wandering; the flashes of insight and inspiration familiar to the artist, scientist, and inventor; the nighttime visions we call dreams; and clinical phenomena such as repetitive depressive rumination. This Handbook brings together views from neuroscience, psychology, philosophy, phenomenology, history, education, contemplative traditions, and clinical practice to begin to address the ubiquitous but poorly understood mental phenomena that we collectively call 'spontaneous thought.' In studying such an abstruse and seemingly impractical subject, we should remember that our capacity for spontaneity, originality, and creativity defines us as a species - and as individuals. Spontaneous forms of thought enable us to transcend not only the here and now of perceptual experience, but also the bonds of our deliberately-controlled and goal-directed cognition; they allow the space for us to be other than who we are, and for our minds to think beyond the limitations of our current viewpoints and beliefs.

This book explores the evolution of the mental competence for self-reflection: why it evolved, under what selection pressures, in what environments, out of what precursors, and with what mental resources. Integrating evolutionary, psychological, and philosophical perspectives, Radu J. Bogdan argues that the competence for self-reflection, uniquely human and initially autobiographical, evolved under strong and persistent sociocultural and political (collaborative and competitive) pressures on the developing minds of older children and later adults. Self-reflection originated in a basic propensity of the human brain to rehearse anticipatively mental states, speech acts, actions, and states of the world in order to service one's elaborate goal policies. These goal policies integrate offline representations of one's own mental states and actions and those of others in order to handle the challenges of a complex and dynamic sociopolitical and sociocultural life, calling for an adaptive intramental self-regulation: that intramental adaptation is self-reflection.

This book introduces readers to the state-of-the-art neuroscientific research that is revolutionizing our understanding of language. Interest in the brain bases of language goes back to the birth of the modern neurosciences in the late nineteenth century. Today, tools such as fMRI and EEG allow us to study brain activity non-invasively as people perform complex cognitive tasks like talking or reading. In this book, Jonathan Brennan shows how brain signals are connected with the intricate cognitive structures that underlie human language. Each chapter focuses on specific insights including the neural codes for speech perception, meaning, and sentence structure. The book also explores larger themes such as how to connect abstract notions like "knowing a language" to concrete signals that are measured in a laboratory, and how to reconcile apparently conflicting pieces of data that arise from different experiments. Written in an accessible, conversational style, and featuring a glossary of key terms, this slim guide will appeal to a wide range of readers interested in how the human brain allows us to use language.

Linguistic interaction between two people is the fundamental form of communication, yet almost all research in language use focuses on isolated speakers and listeners. In this innovative work, Garrod and Pickering extend the scope of psycholinguistics beyond individuals by introducing communication as a social activity. Drawing on psychological, linguistic, philosophical and sociological research, they expand their theory that alignment across individuals is the basis of communication, through the model of a 'shared workspace account'. In this workspace, interlocutors are actors who jointly manipulate and control the interaction and develop similar representations of both language and social context, in order to achieve communicative success. The book also explores dialogue within groups, technologies, as well as the role of culture more generally. Providing a new understanding of cognitive representation, this trailblazing work will be highly influential in the fields of linguistics, psychology and cognitive linguistics.

Linguistic interaction between two people is the fundamental form of communication, yet almost all research in language use focuses on isolated speakers and listeners. In this innovative work, Garrod and Pickering extend the scope of psycholinguistics beyond individuals by introducing communication as a social activity. Drawing on psychological, linguistic, philosophical and sociological research, they expand their theory that alignment across individuals is the basis of communication, through the model of a 'shared workspace account'. In this workspace, interlocutors are actors who jointly manipulate and control the interaction and develop similar representations of both language and social context, in order to achieve communicative success. The book also explores dialogue within groups, technologies, as well as the role of culture more generally. Providing a new understanding of cognitive representation, this trailblazing work will be highly influential in the fields of linguistics, psychology and cognitive linguistics.

Drawing from the study of human reasoning, Argumentation describes different types of arguments and explains how they influence beliefs and behaviour. Raymond Nickerson identifies many of the fallacies, biases, and other flaws often found in arguments as well as 'stratagems' (schemes, illogical and alogical tactics) that people regularly use to persuade others. Much attention is given to the evaluation of arguments. Readers will learn a new schematic for evaluating arguments based on cognitive science. As a source for understanding and evaluating arguments in decision-making, it is ideal for courses on cognition, reasoning, and psychology.

Drawing from the study of human reasoning, Argumentation describes different types of arguments and explains how they influence beliefs and behaviour. Raymond Nickerson identifies many of the fallacies, biases, and other flaws often found in arguments as well as 'stratagems' (schemes, illogical and alogical tactics) that people regularly use to persuade others. Much attention is given to the evaluation of arguments. Readers will learn a new schematic for evaluating arguments based on cognitive science. As a source for understanding and evaluating arguments in decision-making, it is ideal for courses on cognition, reasoning, and psychology.

This book evaluates the potential of the pragmatist notion of habit possesses to influence current debates at the crossroads between philosophy, cognitive sciences, neurosciences, and social theory. It deals with the different aspects of the pragmatic turn involved in 4E cognitive science and traces back the roots of such a pragmatic turn to both classical and contemporary pragmatism. Written by renowned philosophers, cognitive scientists, neuroscientists, and social theorists, this volume fills the need for an interdisciplinary account of the role of 'habit'. Researchers interested in the philosophy of mind, cognitive science, neuroscience, psychology, social theory, and social ontology will need this book to fully understand the pragmatist turn in current research on mind, action and society.

Bodies and Other Objects is written for students, scholars and anyone with an interest in embodied cognition - the claim that the human mind cannot be understood without regard for the actions and capacities of the body. The impulse to write this book was a dissatisfaction with the inconsistent, and often shallow, use of the term 'embodied cognition'. This text attempts to reframe cognitive science with a unified theory of embodied cognition in which sensorimotor elements provide the basis for cognition, including symbolic exchanges that arise within a society of agents. It draws ideas and evidence from experimental psychology, neuroscience, philosophy and anthropology in reaching the conclusion that human cognition is best understood as the means by which exchanges within a constantly evolving network of skilful bodies and objects are regulated so as to further human interests.

Grammar and Conceptualization documents some major developments in the theory of cognitive grammar during the last decade. By further articulating the framework and showing its application to numerous domains of linguistic structure, this book substantiates the claim that lexicon, morphology, and syntax form a gradation consisting of assemblies of symbolic structures (form-meaning pairings).

What do infants know? How does the knowledge that they begin with prepare them for learning about the particular physical, cultural, and social world in which they live? Answers to this question shed light not only on infants but on children and adults in all cultures, because the core knowledge possessed by infants never goes away. Instead, it underlies the unspoken, common sense knowledge of people of all ages, in all societies. By studying babies, researchers gain insights into infants themselves, into older children's prodigious capacities for learning, and into some of the unconscious assumptions that guide our thoughts and actions as adults. In this major new work, Elizabeth Spelke shares these insights by distilling the findings from research in developmental, comparative, and cognitive psychology, with excursions into studies of animal cognition in psychology and in systems and cognitive neuroscience, and studies in the computational cognitive sciences. Weaving across these disciplines, she paints a picture of what young infants know, and what they quickly come to learn, about objects, places, numbers, geometry, and people's actions, social engagements, and mental states. A landmark publication in the developmental literature, the book will be essential for students and researchers across the behavioral, brain, and cognitive sciences.

Linked to the Early Career Framework, this book provides an understanding of cognitive load theory and its application to teaching for all those training or new to the job. Cognitive science is fast becoming the cornerstone for understanding how students learn and is revolutionising the way we teach pupils at both primary and secondary levels. The techniques informed by cognitive science are evidence-based and proven to work, providing clear benefits for both the early career teacher and your pupils. This book outlines the principles of cognitive load theory and metacognition so that you can feel in control of your own learning and understand how to harness the learning of your students. It provides concise explanations and practical strategies that you can use in the classroom, enabling you to confidently plan and teach lessons with a reflective, metacognitive approach underpinned by key cognitive science principles.