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The Future of the Artificial Mind is about the social and technological challenges posed by the new wave of artificial intelligence, both from a technical and a cognitive perspective. Deep neural networks have brought about tremendous technological improvements. This renaissance in artificial intelligence, after decades of stagnation, has enabled new technologies capable of surpassing human performance, as in the case of visual recognition. The book reviews the key ideas that have enabled these goals to be achieved and their historical origins. The book also considers some of the ethical and social challenges that the future development of artificial intelligence will face. Will humans fall in love with future android dolls? What will artificial sex be like? And what will it be like to travel in cars that will treat us as passengers instead of drivers? But predicting the future appears more magic than science. But when it comes to artificial intelligence, it is a constant temptation. Since it is well known that "the only way to get rid of a temptation is to enjoy it!", the hypothesis considered in the last chapter is that emerging trends point to a near future in which intelligence will be ubiquitous, but it will be difficult to identify its bearer. We may be heading towards an era of widespread intelligence, but an intelligence without accountability.

The Future of the Artificial Mind is about the social and technological challenges posed by the new wave of artificial intelligence, both from a technical and a cognitive perspective. Deep neural networks have brought about tremendous technological improvements. This renaissance in artificial intelligence, after decades of stagnation, has enabled new technologies capable of surpassing human performance, as in the case of visual recognition. The book reviews the key ideas that have enabled these goals to be achieved and their historical origins. The book also considers some of the ethical and social challenges that the future development of artificial intelligence will face. Will humans fall in love with future android dolls? What will artificial sex be like? And what will it be like to travel in cars that will treat us as passengers instead of drivers? But predicting the future appears more magic than science. But when it comes to artificial intelligence, it is a constant temptation. Since it is well known that "the only way to get rid of a temptation is to enjoy it!", the hypothesis considered in the last chapter is that emerging trends point to a near future in which intelligence will be ubiquitous, but it will be difficult to identify its bearer. We may be heading towards an era of widespread intelligence, but an intelligence without accountability.

Chat-GPT, humanoid robotics, and self-driving cars are just a few of the things that are changing our everyday lives. The rapid advancement of AI is eroding one by one all the cornerstones considered unique of human nature: language, consciousness, creativity, and moral responsibility. The book argues that the revolution we are facing is driven by Alan Turing's "vision". This vision rests on the idea that intelligence is not an intrinsic property of human beings, but is a way in which matter is functionally organized and an attribute we are naturally inclined to ascribe to certain entities. For decades we have pretended that this idea does not have the corrosive power that it actually does, perhaps more so than the Copernican and Darwinian revolutions. But now, given the achievements of new forms of computing based on deep learning and predictive coding, the most common intuitions can no longer avoid the dangerous Turing idea.The book is intended for scholars, researchers, and readers intrigued by the intersections across disciplines interested in understanding the philosophical, ethical, and social implications of Artificial Intelligence and its impact on human nature.

While maintaining the conference's original purpose of encouraging productive comparisons between different approaches, the book consists of two sections: first, on philosophical approaches, recalls more theoretical aspects (closer to the term ‘Sophia’);

While maintaining the conference's original purpose of encouraging productive comparisons between different approaches, the book consists of two sections: first, on philosophical approaches, recalls more theoretical aspects (closer to the term ‘Sophia’);

This book contains a comprehensive view of pragmalinguistic studies and their recent ramifications, boasting some of the most advanced recent research in pragmatics. Organised into three sections—pragmalinguistics, social pragmatics, and cognitive-inferential pragmatics, respectively—the chapters enable an understanding of the possible applications of linguistic and philosophical theories in practical fields. Covering topics such as polysemy across languages and lexical externalism, the role of literal meaning in the construction of metaphorical meaning, the pragmatics of truth, the roles of reflexivity in meaning negotiation, argumentation and discourse, the pragmatics of taboo, linguistic and cognitive aspects of formation of implicates, and reflections on neuropragmatics and clinical pragmatics in Autism Spectrum Disorder and Schizophrenia—to name but a few exciting areas of exploration—this book is of interest to scholars and postgraduate students in the fields of semantics, pragmatics and philosophy of language, cognitive science, and other areas of linguistics.

This contributed volume explores the achievements gained and the remaining puzzling questions by applying dynamical systems theory to the linguistic inquiry. In particular, the book is divided into three parts, each one addressing one of the following topics:1) Facing complexity in the right way: mathematics and complexity 2) Complexity and theory of language 3) From empirical observation to formal models: investigation of specific linguistic phenomena, like enunciation, deixis, or the meaning of the metaphorical phrasesThe application of complexity theory to describe cognitive phenomena is a recent and very promising trend in cognitive science. At the time when dynamical approaches triggered a paradigm shift in cognitive science some decade ago, the major topic of research were the challenges imposed by classical computational approaches dealing with the explanation of cognitive phenomena like consciousness, decision making and language.  Thetarget audience primarily comprises researchers and experts in the field but the book may also be beneficial for graduate and post-graduate students who want to enter the field.