She was a queen whose strong will, shrewd diplomacy, religious tolerance and great love for her subjects won the hearts of her people and the admiration of her enemies.

Elizabeth was born into an age of religious strife, in which plots and factions were everywhere and private beliefs could be punished by death. When she became queen, her counselors urged her to marry quickly and turn the responsibilities of governing over to her husband, But she outwitted them by stalling, changing her mind; and playing one side against another, as she steered her country to the glorious era of peace and security that would be called the Elizabethan Age.

Elizabeth's forceful personality, colorful court, and devoted subjects come vividly to life in this stellar picture-book biography. When it was first published, Good Queen Bess was named a Notable Book in the Field of Social Studies, an American Library Association Notable Book, a Booklist Editors' Choice, an American Bookseller Pick of the Lists, a Boston Globe-Horn Book Honor Book, and an IRA Teachers' Choice.

In this welcome reissue, celebrated author and illustrator Diane Stanley and her husband, Peter Vennema, paint an impressive portrait of the remarkable queen who loved her people so dearly and ruled them so well.

In this latest of their "distinguished storybook biographies" ( "New York Times" ), the authors' meticulous text and Ms. Stanley's majestic illustrations capture the brilliance of Cleopatra's life. From the enchantments of the royal court at Alexandria to luxurious cruises up the legendary Nile, from the intrigues of the Roman marketplace to a desperate sea battle with a shocking end, these award-winning biographers tell the tragic tale of one of the most fascinating women of all time.

Situation theory is the result of an interdisciplinary effort to create a full-fledged theory of information. Created by scholars and scientists from cognitive science, computer science and AI, linguistics, logic, philosophy, and mathematics, it aims to provide a common set of tools for the analysis of phenomena from all these fields. Unlike Shannon-Weaver type theories of information, which are purely quantitative theories, situation theory aims at providing tools for the analysis of the specific content of a situation (signal, message, data base, statement, or other information-carrying situation). The question addressed is not how much information is carried, but what information is carried.

Quantification is a topic which brings together linguistics, logic, and philosophy. Quantifiers are the essential tools with which, in language or logic, we refer to quantity of things or amount of stuff. In English they include such expressions as no, some, all, both, and many. Peters and Westerstahl present the definitive interdisciplinary exploration of how they work - their syntax, semantics, and inferential role. Quantifiers in Language and Logic is intended for everyone with a scholarly interest in the exact treatment of meaning. It presents a broad view of the semantics and logic of quantifier expressions in natural languages and, to a slightly lesser extent, in logical languages. The authors progress carefully from a fairly elementary level to considerable depth over the course of sixteen chapters; their book will be invaluable to a broad spectrum of readers, from those with a basic knowledge of linguistic semantics and of first-order logic to those with advanced knowledge of semantics, logic, philosophy of language, and knowledge representation in artificial intelligence.

Situation theory is the result of an interdisciplinary effort to create a full-fledged theory of information. Created by scholars and scientists from cognitive science, computer science and AI, linguistics, logic, philosophy, and mathematics, it aims to provide a common set of tools for the analysis of phenomena from all these fields. Unlike Shannon-Weaver type theories of information, which are purely quantitative theories, situation theory aims at providing tools for the analysis of the specific content of a situation (signal, message, data base, statement, or other information-carrying situation). The question addressed is not how much information is carried, but what information is carried.

In the winter of 1993-1994, essays were commissioned on the topic of ambiguity and underspecification. All papers received were subjected to a thorough review process. The present volume, comprising ten self-contained papers and an introductory chapter, is the result. Natural language is known for the ambiguity of its expressions. Whereas artificial forms of communication tend to be designed in such a way that ambiguity is reduced to a minimum, natural language is ambiguous at various 'levels' of interpretation. At a low (e.g., speech recognition) level, a signal can be ambiguous between various utterances; at a higher (semantic) level, a fully recognised utterance can be used to express various different propositions; and at an even higher (pragmatic) level, a proposition may be used for various different purposes. The present volume focuses on ambiguities of the second kind, which are sometimes called semantic ambiguities, or mostly just ambiguities, when there is no likelihood of confusion.

In the winter of 1993-1994, essays were commissioned on the topic of ambiguity and underspecification. All papers received were subjected to a thorough review process. The present volume, comprising ten self-contained papers and an introductory chapter, is the result. Natural language is known for the ambiguity of its expressions. Whereas artificial forms of communication tend to be designed in such a way that ambiguity is reduced to a minimum, natural language is ambiguous at various 'levels' of interpretation. At a low (e.g., speech recognition) level, a signal can be ambiguous between various utterances; at a higher (semantic) level, a fully recognised utterance can be used to express various different propositions; and at an even higher (pragmatic) level, a proposition may be used for various different purposes. The present volume focuses on ambiguities of the second kind, which are sometimes called semantic ambiguities, or mostly just ambiguities, when there is no likelihood of confusion.