In the years during and just after World War II, the Danish artist Asger Jorn (1914-73) and the American painter Jackson Pollock (1912-56) came to play major roles in the development of a new Abstract Expressionist art. Both drew on Surrealism and Picasso to explore automatism in painting, each breaking through to a unique style around 1943, when Pollock had his first show at Peggy Guggenheim's gallery, and Jorn established the groundwork for working collectively that would lead to the founding of the CoBrA group. In both cases, this led to an incredibly energetic, primitive-seeming painting (although Jorn retained more figurative elements than Pollock). Alongside more than 100 color reproductions, Jorn & Pollock: Revolutionary Roadsincludes the essays "Image Revolutions - Abstract Expressionism and What Looks Like It in Jorn and Pollock" by Anders Kold; "In the Shadow of Picasso: Asger Jorn and Jackson Pollock" by British art historian Jeremy Lewison; "Sounds in the Grass" by Axel Heil; and "Simpler Evolutions" by Courtney Martin, which discusses the British critic Lawrence Alloway's comparisons of the two artists.

The great British general's life is chronicled in a revisionist biography that provides details about Kitchener's victorious Sudanese campaign and his successful strategy during World War I. Reprint.

A hands-on, step-by-step tutorial, this comprehensive resource teaches new programmers and those new to JavaScript.

This exciting new edition of the classic Contemporary Theories of Knowledge has been significantly updated to include analyses of the recent literature in epistemology. In addition, a new case is made for the strong connection between epistemology and artificial intelligence, as Pollock and Cruz argue that a necessary condition for the correctness of any epistemological theory is that it be possible to build an implemented artificial intelligence system on the basis of it. Like the first edition, Contemporary Theories of Knowledge, Second Edition is an excellent teaching tool, introducing the reader to the fundamental issues and approaches in the field of epistemology.

One of the most firmly entrenched beliefs of contemporary philosophy is that the only way to analyze a concept is to state its truth conditions. In epistemology this has led to the search for reductive analyses, to phenomenalism, behaviorism, and their analogues in other areas of knowledge. Arguing that these attempts at reductive analysis have invariably failed, John L. Pollock defends an alternative theory of conceptual analysis in this book. The author suggests that concepts should be analyzed in terms of their justification conditions rather than their truth conditions. After laying a theoretical foundation for this alternative scheme of analysis, Professor Pollock applies his theory in proposing solutions to a number of traditional epistemological problems. Among the areas of knowledge discussed are perception, knowledge of the past, induction, knowledge of other minds, and a priori knowledge. Originally published in 1975. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.

Pollock describes an exciting theory of rationality and its partial implementation in OSCAR, a computer system whose descendants will literally be persons.

A sequel to the author's How to Build a Person, this work builds upon that theoretical groundwork for the implementation of rationality through artificial intelligence. It argues that progress in AI has stalled because of its creators' reliance upon unformulated intuitions about rationality. Instead, the author bases the OSCAR architecture upon an explicit philosophical theory of rationality, encompassing principles of practical cognition, epistemic cognition and defeasible reasoning. One of the results is the first automated defeasible reasoner capable of reasoning in a rich, logical environment.