Gilbert Harman presents a selection of fifteen interconnected essays on fundamental issues at the centre of analytic philosophy. The book opens with a group of four essays discussing basic principles of reasoning and rationality. The next three essays argue against the idea that certain claims are true by virtue of meaning and knowable by virtue of meaning. In the third group of essays Harman sets out his own view of meaning, arguing that it depends upon the functioning of concepts in reasoning, perception, and action, by which these concepts are related to the world. He also examines the relation between language and thought. The final three essays investigate the nature of mind, developing further the themes already set out. Reasoning, Meaning, and Mind offers an integrated presentation of this rich and influential body of work.

Change in View offers an entirely original approach to the philosophical study of reasoning by identifying principles of reasoning with principles for revising one's beliefs and intentions and not with principles of logic. This crucial observation leads to a number of important and interesting consequences that impinge on psychology and artificial intelligence as well as on various branches of philosophy, from epistemology to ethics and action theory.

"The Art of Logical Thinking Or The Laws of Reasoning" is a book about the control of thinking. It will help you raise your conscious awareness of who you really are. It is perfect for people who believe that changing thinking will change lives and that we can control our thoughts and, by doing so, improve our overall circumstances.

Mark Johnson is one of the great thinkers of our time on how the body shapes the mind. This book brings together a selection of essays from the past two decades that build a powerful argument that any scientifically and philosophically satisfactory view of mind and thought must ultimately explain how bodily perception and action give rise to cognition, meaning, language, action, and values. A brief account of Johnson’s own intellectual journey, through which we track some of the most important discoveries in the field over the past forty years, sets the stage. Subsequent chapters set out Johnson’s important role in embodied cognition theory, including his cofounding (with George Lakoff) of conceptual metaphor theory and, later, their theory of bodily structures and processes that underlie all meaning, conceptualization, and reasoning. A detailed account of how meaning arises from our physical engagement with our environments provides the basis for a nondualistic, nonreductive view of mind that he sees as most congruous with the latest cognitive science. A concluding section explores the implications of our embodiment for our understanding of knowledge, reason, and truth. The resulting book will be essential for all philosophers dealing with mind, thought, and language.

There are many people across the planet who work every day for the sake of others but who are ensconced in exhausting work with dangerous and difficult situations of conflict. These people are often heroic bridge-builders and creators of peaceful societies, and they have a common set of cultivated moral character traits and psychosocial skills. They tend to be kinder, more reasonable, more self-controlled, and more goal-oriented to peace. They are united by a particular set of moral values and the emotional skills to put those values into practice. The aim of this book is to articulate the best combination of those values and skills that lead to personal and communal sustainability, not burnout and self-destruction. The book pivots on the observable difference in the mind-and proven in neuroscience imaging experiments-between destructive empathic distress, on the one hand, and, on the other, joyful, constructive, compassionate care. .

The implications for philosophy and cognitive science of developments in statistical learning theory. In Reliable Reasoning, Gilbert Harman and Sanjeev Kulkarni—a philosopher and an engineer—argue that philosophy and cognitive science can benefit from statistical learning theory (SLT), the theory that lies behind recent advances in machine learning. The philosophical problem of induction, for example, is in part about the reliability of inductive reasoning, where the reliability of a method is measured by its statistically expected percentage of errors—a central topic in SLT. After discussing philosophical attempts to evade the problem of induction, Harman and Kulkarni provide an admirably clear account of the basic framework of SLT and its implications for inductive reasoning. They explain the Vapnik-Chervonenkis (VC) dimension of a set of hypotheses and distinguish two kinds of inductive reasoning. The authors discuss various topics in machine learning, including nearest-neighbor methods, neural networks, and support vector machines. Finally, they describe transductive reasoning and suggest possible new models of human reasoning suggested by developments in SLT.

The implications for philosophy and cognitive science of developments in statistical learning theory. In Reliable Reasoning, Gilbert Harman and Sanjeev Kulkarni—a philosopher and an engineer—argue that philosophy and cognitive science can benefit from statistical learning theory (SLT), the theory that lies behind recent advances in machine learning. The philosophical problem of induction, for example, is in part about the reliability of inductive reasoning, where the reliability of a method is measured by its statistically expected percentage of errors—a central topic in SLT. After discussing philosophical attempts to evade the problem of induction, Harman and Kulkarni provide an admirably clear account of the basic framework of SLT and its implications for inductive reasoning. They explain the Vapnik-Chervonenkis (VC) dimension of a set of hypotheses and distinguish two kinds of inductive reasoning. The authors discuss various topics in machine learning, including nearest-neighbor methods, neural networks, and support vector machines. Finally, they describe transductive reasoning and suggest possible new models of human reasoning suggested by developments in SLT.