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Originally published in 1990. This study argues that scepticism is an intelligible view and that the issue scepticism raises is whether or not certain sceptical hypotheses are as plausible as the ordinary views we accept. It discusses psychological concepts, definitions of knowledge, belief and hypothetic inference (inference to the best explanation). Starting from Is skepticism a problem for epistemology, the book takes us through the argument for the possibility of scepticism, including looking at sense data and considering memory and perception."

Thoughts and other mental states are defined by their role in a functional system. Since it is easier to determine when we have knowledge than when reasoning has occurred, Gilbert Harman attempts to answer the latter question by seeing what assumptions about reasoning would best account for when we have knowledge and when not. He describes induction as inference to the best explanation, or more precisely as a modification of beliefs that seeks to minimize change and maximize explanatory coherence.

Originally published in 1973.

The Princeton Legacy Library uses the latest...

"What has happened to cognition? In other words, what has the past 30 years contributed to our understanding of the mind? Do we really know anything that wasn't already clear to William James?"

Each participant tried to stand back a little from his or her most recent work,...

Originally published in 1990. This study argues that scepticism is an intelligible view and that the issue scepticism raises is whether or not certain sceptical hypotheses are as plausible as the ordinary views we accept. It discusses psychological concepts, definitions of knowledge, belief and hypothetic inference (inference to the best explanation). Starting from Is skepticism a problem for epistemology, the book takes us through the argument for the possibility of scepticism, including looking at sense data and considering memory and perception."

Thoughts and other mental states are defined by their role in a functional system. Since it is easier to determine when we have knowledge than when reasoning has occurred, Gilbert Harman attempts to answer the latter question by seeing what assumptions about reasoning would best account for when we have knowledge and when not. He describes induction as inference to the best explanation, or more precisely as a modification of beliefs that seeks to minimize change and maximize explanatory coherence.

Originally published in 1973.

The Princeton Legacy Library uses the latest...

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.

A joint endeavor from leading researchers in the fields of philosophy and electrical engineering, An Elementary Introduction to Statistical Learning Theory is a comprehensive and accessible primer on the rapidly evolving fields of statistical pattern recognition and statistical learning theory. Explaining these areas at a level and in a way that is not often found in other books on the topic, the authors present the basic theory behind...

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...