Logic and causal reasoning
著者
書誌事項
Logic and causal reasoning
Akademie Verlag, c1994
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内容説明・目次
内容説明
This work is about causes, the knowledge we have of them, and the logic we use to think about them. Causality plays a fundamental role in our understanding of why things happen as they do. Causal knowledge is obtained from reasoning about the connections between scientific data and the connections between common-sense events. Thus, much of our knowledge of science and of daily life is about the causal structure in which events and our actions take place. Not only do we use such knowledge to guide ourselves effectively through life but also to construct various technologies. In recent years there has been a growing interest in applying formal logic to various forms of causal reasoning. This interest springs partly from the theoretical need to understand what we mean by causality and partly from the practical motivation of using such formalizations in the creation of artificial intelligence. The papers in this book reflect both types of concerns.
目次
- Causal beliefs and their ontological roots, Jan Faye
- structural causes - on causal chains in social sciences, Weyma Lubbe
- ways of representing Scheffler's causal relation between event token in multi-dimensional logics, Ingolf Max
- propensity theory of causality, Uwe Meixner
- the causal connective, Paul Needham
- probabilistic causality in epidemiology, Ole Olsen
- the structure of causal reasoning in medicine and engineering, Stig Andur Pedersen, Peter Ohrstrom, Morten Elvang-Gorenson
- reasons and causes, Jerzy Perzanowski
- chaos - the reason for structural causation, Hans Rott
- token versus type causation, Uwe Scheffler
- applying relevant logic to analysis of some problems in regard to causality, Yaroslav V. Shramko
- Hugh MacColl's explication of causation as logical analysis of non-logical causation, Werner Stelzner
- artificial causality, Max Urchs
- actions and preventions, Heinrich Wansing.
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