A mathematical framework for the study of learning in a variety of domains.Systems That Learn presents a mathematical framework for the study of learning in a variety of domains. It provides the basic concepts and techniques of learning theory as well as a comprehensive account of what is currently known about a variety of learning paradigms.

Systems That Learn: An Introduction to Learning Theory for Cognitive and Computer Scientists (Mit Press Series in Learning, Development, and Conceptual Ch)

Health, Fitness & Dieting

Osherson, Daniel N.

Weinstein, Scott

Stob, Michael

Psychology & Counseling

MIT Press]

Australia’s venomous snakes are widely viewed as the world’s most deadly and are regarded with cautious curiosity, fascination, and regrettably, fear. Australia’s Dangerous Snakes examines the biology, natural history, venom properties, and bite treatment of medically-important, venomous marine and terrestrial snakes. It contains comprehensive identification profiles for each species, supported by keys and photographs. In addition to their medical importance, the environmental roles of these snakes and the threats that are causing the decline of many of these reptiles are discussed. Drawing on the authors’ experience in the fields of herpetology, toxinology, and clinical medicine, this book stimulates respect and admiration and dispels fear of Australia’s fascinating snakes. Australia’s Dangerous Snakes will provide hours of rewarding reading and valuable information for anyone interested in Australia’s unique wildlife and natural history, and it will be an essential reference for herpetologists, toxinologists, physicians, zoo personnel, and private snake collectors.

Australia's Dangerous Snakes: Identification, Biology and Envenoming

History

Mirtschin, Peter

Rasmussen, Arne

Australia & Oceania

CSIRO Publishing

Finite Model Theory and Its Applications (Texts in Theoretical Computer Science. An EATCS Series)

Finite model theory,as understoodhere, is an areaof mathematicallogic that has developed in close connection with applications to computer science, in particular the theory of computational complexity and database theory. One of the fundamental insights of mathematical logic is that our understanding of mathematical phenomena is enriched by elevating the languages we use to describe mathematical structures to objects of explicit study. If mathematics is the science of patterns, then the media through which we discern patterns, as well as the structures in which we discern them, command our attention. It isthis aspect oflogicwhichis mostprominentin model theory,“thebranchof mathematical logic which deals with the relation between a formal language and its interpretations”. No wonder, then, that mathematical logic, and ?nite model theory in particular, should ?nd manifold applications in computer science: from specifying programs to querying databases, computer science is rife with phenomena whose understanding requires close attention to the interaction between language and structure. This volume gives a broadoverviewof some central themes of ?nite model theory: expressive power, descriptive complexity, and zero–one laws, together with selected applications to database theory and arti?cial intelligence, es- cially constraint databases and constraint satisfaction problems. The ?nal chapter provides a concise modern introduction to modal logic,which emp- sizes the continuity in spirit and technique with ?nite model theory.

Computers & Technology

Libkin, Leonid

Venema, Yde

Grädel, Erich

Vardi, Moshe Y.

Spencer, Joel

Marx, Maarten

Kolaitis, Phokion G.

Computer Science

Springer

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