An essential work for anyone interested in the creativity of the human mind, "The Creative Mind" has been updated to include recent developments in artificial ...

Cognitive science is the project of understanding the mind by modelling its workings. Its development is one of the most remarkable and fascinating intellectual achievements of the modern era. Mind as Machine is a masterful history of cognitive science, told by one of its most eminent practitioners.

What is the mind? How does it work? How does it influence behavior? Some psychologists hope to answer such questions in terms of concepts drawn from computer science and artificial intelligence. They test their theories by modeling mental processes in computers. This book shows how computer models are used to study many psychological phenomena--including vision, language, reasoning, and learning. It also shows that computer modeling involves differing theoretical approaches. Computational psychologists disagree about some basic questions. For instance, should the mind (...) be modeled by digital computers, or by parallel-processing systems more like brains? Do computer programs consist of meaningless patterns, or do they embody (and explain) genuine meaning? (shrink)

This new volume in the acclaimed Oxford Readings in Philosophy sereis offers a selection of the most important philosophical work being done in the new and fast-growing interdisciplinary area of artificial life. Artificial life research seeks to synthesize the characteristics of life by artificial means, particularly employing computer technology. The essays here explore such fascinating themes as the nature of life, the relation between life and mind, and the limits of technology.

This interdisciplinary collection of classical and contemporary readings provides a clear and comprehensive guide to the many hotly-debated philosophical issues at the heart of artificial intelligence.

The applications of Artificial Intelligence lie all around us; in our homes, schools and offices, in our cinemas, in art galleries and - not least - on the Internet. The results of Artificial Intelligence have been invaluable to biologists, psychologists, and linguists in helping to understand the processes of memory, learning, and language from a fresh angle.As a concept, Artificial Intelligence has fuelled and sharpened the philosophical debates concerning the nature of the mind, intelligence, and the uniqueness of human beings. (...) Margaret A. Boden reviews the philosophical and technological challenges raised by Artificial Intelligence, considering whether programs could ever be really intelligent, creative or even conscious, and shows how the pursuit of Artificial Intelligence has helped us to appreciate how human and animal minds are possible. (shrink)

Margaret Boden presents a series of essays in which she explores the nature of creativity in a wide range of art forms. Creativity is the generation of novel, surprising, and valuable ideas. Boden identifies three forms of creativity each eliciting a different form of surprise.

Metabolism is a criterion of life. Three senses are distinguished. The weakest allows strong A-Life: virtual creatures having physical existence in computer electronics, but not bodies, are classes as 'alive'. The second excludes strong A-Life but allows that some non-biochemical A-Life robots could be classed as alive. The third, which stresses the body's self-production by energy budgeting and self-equilibrating energy exchanges of some (necessary) complexity, excludes both strong A-Life and living non-biochemical robots.

Emotional clarity and attention to emotions represent the extent to which people understand and attend to their own emotions, respectively, and are broad facets of emotional awareness, alexithymia, and emotional intelligence. To examine the extent to which these two constructs are associated, we conducted a meta-analysis of studies including well-validated self-report measures of trait clarity and attention to emotion. Clarity and attention were moderately, positively associated. Assessment instrument, but not sample gender or age, moderated the association between clarity and attention. (...) Analyses of between-study heterogeneity and publication bias suggested that results were valid and generalizable. We discuss potential causes of the association between clarity and attention, and elaborate on the implications of our results for emotion regulation, well-being, and psychopathology. (shrink)

John Ziman-- the much-missed-- reminds us that 'no man is an island', and takes us to task for working from an individualistic theoretical base. That 'us' includes nearly all social scientists, and most Anglo-American philosophers too. For sure, it includes cognitive scientists, who theorize people in terms of concepts drawn from cybernetics and/or artificial intelligence. (I'll use the term 'computational concepts' broadly, to cover both types.) Indeed, it's a common complaint that cognitive science is overly individualistic.

The optimist may be secretly envied, but he is publicly despised. His pronouncements are regarded as expressions of simple-minded blindness or as cynical propaganda. Optimism is not regarded as intellectually respectable. It was not always so: there have been times when optimism was not merely considered worthy of rational argument, but was widely accepted by thinking men. Now, however, we react with a growing embarrassment to passages such as these: The time will therefore come when the sun will shine only (...) on free men who know no other master but their reason;… All the causes that contribute to the perfection of the human race, all the means that ensure it must by their very nature exercise a perpetual influence and always increase their sphere of action … the perfectibility of man is indefinite. (shrink)

Intentionality is characteristic of many psychological phenomena. It is commonly held by philosophers that intentionality cannot be ascribed to purely physical systems. This view does not merely deny that psychological language can be reduced to physiological language. It also claims that the appropriateness of some psychological explanation excludes the possibility of any underlying physiological or causal account adequate to explain intentional behavior. This is a thesis which I do not accept. I shall argue that physical systems of a specific sort (...) will show the characteristic features of intentionality. Psychological subjects are, under an alternative description, purely physical systems of a certain sort. The intentional description and the physical description are logically distinct, and are not intertranslatable. Nevertheless, the features of intentionality may be explained by a purely causal account, in the sense that they may be shown to be totally dependent upon physical processes. (shrink)

What is creativity? One new idea may be creative, whereas another is merely new: What's the difference? And how is creativity possible? These questions about human creativity can be answered, at least in outline, using computational concepts. There are two broad types of creativity, improbabilist and impossibilist. Improbabilist creativity involves novel combinations of familiar ideas. A deeper type involves METCS: the mapping, exploration, and transformation of conceptual spaces. It is impossibilist, in that ideas may be generated which – with respect (...) to the particular conceptual space concerned – could not have been generated before. The more clearly conceptual spaces can be defined, the better we can identify creative ideas. Defining conceptual spaces is done by musicologists, literary critics, and historians of art and science. Humanist studies, rich in intuitive subtleties, can be complemented by the comparative rigour of a computational approach. Computational modelling can help to define a space, and to show how it may be mapped, explored, and transformed. Impossibilist creativity can be thought of in “classical” Al terms, whereas connectionism illuminates improbabilist creativity. Most Al models of creativity can only explore spaces, not transform them, because they have no self-reflexive maps enabling them to change their own rules. A few, however, can do so. A scientific understanding of creativity does not destroy our wonder at it, nor does it make creative ideas predictable. Demystification does not imply dehumanization. (shrink)

Ever since Darwin, scholars have noted that cultural entities such as languages, laws and theories seem to evolve through variation, selection and replication. These essays consider whether this comparison is just a metaphor.

It’s sometimes said, and even more often assumed, that life is necessary for mind. If so, and if A-Life promises to throw light on the nature of life as such, then A-Life is in principle highly relevant to the philosophy of mind and cognitive science. However, very few philosophers have attempted to argue for the relation between life and mind. It’s usually taken for granted. Even those (mostly in the Continental tradition, including some with a following in A-Life) who have (...) insisted on the linkage have stated it rather than justified it. If an evolutionary account of intentionality is acceptable, then perhaps biological life ‘makes room’ for mind. But that claim is problematic, since it’s not clear that the type of self-organization involved in life-as-such must necessarily include evolution. Even if it does, it’s a further step to show that life is strictly necessary for mind. (shrink)

This collection of Margaret Boden's essays written between 1982 and 1988 focuses on the relevance of artificial intelligence to psychology.

Do our lives have meaning? Should we create more people? Is death bad? Should we commit suicide? Would it be better if we were immortal? Should we be optimistic or pessimistic? Life, Death, and Meaning brings together key readings, primarily by English-speaking philosophers, on such 'big questions.'.

Margaret Boden; IX—The Paradox of Explanation, Proceedings of the Aristotelian Society, Volume 62, Issue 1, 1 June 1962, Pages 159–178, https://doi.org/10.1093/.

Wonder is a root of the religious experience, and the desire to understand drives science. If wonder and understanding are fundamentally opposed, religion and science will be also. But only if wonder is limited to the contemplation of magic or mysteries is religion in principle opposed to science. The aim of science is to explain how something is possible. Understanding how something is possible need not destroy our wonder at it. Recent scientific theories of the human mind—albeit based in computer (...) technology—increase our wonder at its richness and power. (shrink)

Clarifying what creativity is the first step towards answering the question: could a computer be creative?

Context: Radical Constructivism is an issue that deeply divides the cognitive science community: most researchers reject it, but an increasing number do not. Problem: Constructivists stress that our knowledge starts from experience. Some (“ontic” constructivists) deny the existence of a mind-independent world, while others (“radical” constructivists) claim merely that, if such a world exists, we can know nothing about it. Both positions conflict with scientific realism. It is not clear that the conflict can be resolved. Method: This paper uses philosophical (...) argument to ask whether constructivism can be rationally preferred over realism in science. Results: Ontic constructivism cannot be disproved by any knock-down argument. Nevertheless, it is irrational to accept it, because it ignores the strategy of “inference to the best explanation”: realism is the best explanation of the successes of science. Radical constructivism, too, fails to explain these successes. Some radical constructivists have tried to offer theories more sympathetic to realism. For instance, Ernst von Glasersfeld sees science as a coherent ordering of experience, and appeals to Piagetian psychology as support. There are close similarities. But Piaget was also caught in a constructivist anti-realism, despite his attempt to evade it. Implications: The constructivist’s claim that scientific concepts and theories are generated by human minds is correct. But this important insight should not be used to deny realism, which is the best explanation of the many undeniable successes of science and engineering. (shrink)