In his brilliant and tragically brief career, Kenneth Craik anticipated certain ideas which since his death in 1945 have found wide acceptance. As one of the first to realise that machines share with the brain certain principles of functioning, Craik was a pioneer in the development of physiological psychology and cybernetics. Craik published only one complete work of any length, this essay on The Nature of Explanation. Here he considers thought as a term for the conscious working of a highly complex machine, viewing the brain as a calculating machine which can model or parallel external events, a process that is the basic feature of thought and explanation. He applies this view to a number of psychological and philosophical problems (such as paradox and illusion) and suggests possible experiments to test his theory. This book is of interest to those concerned with the concepts of brain and mind.

In his only complete work of any length, Kenneth Craik considers thought as a term for the conscious working of a highly complex machine.

Offering a new approach to scientific explanation, this book focuses initially on the explaining act itself. From that act, a "product" emerges: an explanation. To understand what that product is, as well as how it can be evaluated in the sciences, reference must be made to the concept of the explaining act. Following an account of the explaining act, its product, and the evaluation of explanations, the theory is brought to bear on these issues: Why have the standard models of scientific explanation been unsuccessful, and can there be a model of the type sought? What is causal explanation, and must explanation in the sciences be causal? What is a functional explanation? The "illocutionary" theory of explanation developed at the outset is used in discussing these issues, and contrasting philosophical viewpoints are assessed.

A new approach to the definition of scientific explanation. Unlike standard theories, it focuses initially on the explaining act itself, to which reference must be made in order to understand what an explanation is and how it can be evaluated in the sciences.

This book provides a comprehensive overview of the nature of explanations as given in both natural and social sciences. It discusses models of explanation adopted in natural and social sciences. The author also elaborates upon naturalistic and anti-naturalistic views and other types of explanations such as functional, purposive, etc in social science. The volume elaborates upon themes like bridge principle; functional explanation; purposive explanation; teleological explanation; prediction; methodological individualism; methodological collectivism; illocutionary redescription; principle of action; and dispositional explanations to understand whether the explanations given in the realm of social sciences are the same or different from the explanations that are given in the field of natural sciences. This introductory book is a must read for students and scholars of philosophy of science, logic, science and technology studies, social sciences and philosophy in general.

Scientific thinking must be understood as an activity. The acts of interpretation, representation, and explanation are the cognitive processes by which scientific thinking leads to understanding. The book explores the nature of these processes and describes how scientific thinking can only be grasped from a pragmatic perspective.

Anthony O'Hear takes a stand against the fashion for explaining human behaviour in terms of evolution. He maintains, controversially, that while the theory of evolution is successful in explaining the development of the natural world in general, it is of limited value when applied to the human world. Because of our reflectiveness and our rationality we take on goals and ideals which cannot be justified in terms of survival-promotion or reproductive advantage. O'Hear examines the nature of human self-consciousness, and argues that evolutionary theory cannot give a satisfactory account of such distinctive facets of human life as the quest for knowledge, moral sense, and the appreciation of beauty; in these we transcend our biological origins. It is our rationality that allows each of us to go beyond not only our biological but also our cultural inheritance: as the author says in the Preface, 'we are prisoners neither of our genes nor of the ideas we encounter as we each make our personal and individual way through life'.

Understanding the Nature of Law explores methodological questions about how best to explain law. Among these questions, one is central: is there something about law which determines how it should be theorized? This novel book explains the importance of

In this sequel to the highly acclaimed Scientific Realism: How Science Tracks Truth , Psillos discusses recent developments in scientific realism and explores realist theses and commitments. He examines the structuralist turn in the philosophy of science and offers a framework within which inference to the best explanation can be defended.

What does it mean for scientists to truly understand, rather than to merely describe, how the world works? Michael Strevens proposes a novel theory of scientific explanation and understanding that overhauls and augments the familiar causal approach to explanation. What is replaced is the test for explanatorily relevant causal information: Strevens discards the usual criterion of counterfactual dependence in favor of a criterion that turns on a process of progressive abstraction away from a fully detailed, physical causal story. The augmentations include the introduction of a new, non-causal explanatory relevance relation—entanglement—and an independent theory of the role of black-boxing and functional specification in explanation. The abstraction-centered notion of difference-making leads to a rich causal treatment of many aspects of explanation that have been either ignored or handled inadequately by earlier causal approaches, including the explanation of laws and other regularities, with particular attention to the explanation of physically contingent high-level laws, idealization in explanation, and probabilistic explanation in deterministic systems, as in statistical physics, evolutionary biology, and medicine. The result is an account of explanation that has especially significant consequences for the higher-level sciences: biology, psychology, economics, and other social sciences.