Informatics and the Foundations of Legal Reasoning represents a close collaboration between a wide range of disciplines and countries. Fourteen papers, together with a long analytical introduction by the editors, were selected from the contributions of legal theorists, computer scientists, philosophers and logicians who were members of an International Working Group supported by the European Commission. The Group was mandated to work towards determining how far the law is amenable to formal modeling, and in what ways computers might assist legal (...) thinking and practice. The book is the result of discussions held by the Group over two and half years. It will help students and researchers from different backgrounds to focus on a common set of topics of increasing general interest. It embodies the results of work in progress and suggests many issues for further discussion. A stimulating text for undergraduate and graduate courses in law, philosophy and computer science departments, as well as for those interested in the place of computers in legal practice, especially at the international level. (shrink)

From the time of its clearest origins with Pascal, the theory of probabilities seemed to offer means by which the study of human affairs might be reduced to the same kind of mathematical discipline that was already being achieved in the study of nature. Condorcet is to a great extent merely representative of the philosophers of the seventeenth and eighteenth centuries who were led on by the prospect of developing moral and political sciences on the pattern of the natural sciences, (...) specifically physics. The development of economics and the social sciences, from the eighteenth century onwards, may be said in part to have fulfilled and in a manner to have perpetuated these ambitions. In so far as the new sciences have been susceptible of mathematical treatment, this has not been confined to the calculus of probabilities. But there is a temptation at every stage to ascribe fundamental significance and universal applicability to each latest mathematical device that is strikingly useful or illuminating on its first introduction. It is the theory of games that enjoys this position at present, and shapes the common contemporary conception of the very same problems that preoccupied Condorcet. (shrink)

From the time of its clearest origins with Pascal, the theory of probabilities seemed to offer means by which the study of human affairs might be reduced to the same kind of mathematical discipline that was already being achieved in the study of nature. Condorcet is to a great extent merely representative of the philosophers of the seventeenth and eighteenth centuries who were led on by the prospect of developing moral and political sciences on the pattern of the natural sciences, (...) specifically physics. The development of economics and the social sciences, from the eighteenth century onwards, may be said in part to have fulfilled and in a manner to have perpetuated these ambitions. In so far as the new sciences have been susceptible of mathematical treatment, this has not been confined to the calculus of probabilities. But there is a temptation at every stage to ascribe fundamental significance and universal applicability to each latest mathematical device that is strikingly useful or illuminating on its first introduction. It is the theory of games that enjoys this position at present, and shapes the common contemporary conception of the very same problems that preoccupied Condorcet. (shrink)

Ian White; VIII*—Kant on Forms of Intuition, Proceedings of the Aristotelian Society, Volume 79, Issue 1, 1 June 1979, Pages 123–136, https://doi.org/10.1093/ar.

Ian White; VIII*—Kant on Forms of Intuition, Proceedings of the Aristotelian Society, Volume 79, Issue 1, 1 June 1979, Pages 123–136, https://doi.org/10.1093/ar.

The paper questions the expert system paradigm, both in terms of its range of application, and as a significant contribution to the understanding of artificial intelligence. The viewpoint is that of the systems designer who must judge the applicability of these methods in imminent and future systems. The expert system paradigm, (ESP for short), is criticised not because it is ubiquitously wrong, but because its range of application appears to be very limited, and much promise is made of its application (...) in areas where its success is likely to be little more than a matter of luck. The paper considers the success in both academic and commercial settings. It is suggested that the contribution of the ESP to the wider ambitions of AI is modest, and to the practical user is still a considerable and largely unquantifiable risk. (shrink)