We consider a class of general decomposable measures of uncertainty, which encompasses ~as its most specific elements, with respect to the properties of the rules of composition! probabilities, and ~as its most general elements! belief functions. The aim, using this general context, is to introduce
Toward a semantic general theory of everything
โ Scribed by Alexei V. Samsonovich; Rebecca F. Goldin; Giorgio A. Ascoli
- Publisher
- John Wiley and Sons
- Year
- 2009
- Tongue
- English
- Weight
- 133 KB
- Volume
- 15
- Category
- Article
- ISSN
- 1076-2787
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Current models of biological communication point at evolutionary mechanisms of particular signal types. Those that present complete models look at the signals' equilibrium values and their evolutionary stability, and require two simultaneous equations: an equation that describes the signaler's fitne
We describe the theories of approximate reasoning and mathematical evidence. We show that in the face of possibilistic uncertainty they lead to equivalent inferences. After appropriately extending the mathematical theory of evidence to the fuzzy environment we show that these two theories are equiva
Supporting therapy selection is a fundamental task for a system for computerized management of clinical guidelines ~GL!. To this end, decision theory concepts could provide significant advances. In this article, we propose a systematic analysis of the main GL representation primitives and of how the