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[null,"1.","Record Nr.",null,"UNISA990002682440203316"]
[null,null,"Autore",null,"PARENTI, Piero"]
[null,null,"Titolo",null,"2.: 1496-1502 / Piero di Marco Parenti ; a cura di Andrea Matucci"]
[null,null,"Pubbl/distr/stampa",null,"Firenze, : Olschki, 2005"]
[null,null,"ISBN",null,"88-222-5448-1"]
[null,null,"Descrizione fisica",null,"548 p. ; 24 cm"]
[null,null,"Collana",null,"Studi e testi ; 46"]
[null,null,"Disciplina",null,"945.5110543"]
[null,null,"Soggetti",null,"Firenze Storia"]
[null,null,"Collocazione",null,"X.2.B. 942/2(III A 1316/2)"]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910774725603321"]
[null,null,"Autore",null,"Lamy Isabelle"]
[null,null,"Titolo",null,"L'écotoxicologie en questions / / Isabelle Lamy [and seven others]"]
[null,null,"Pubbl/distr/stampa",null,"Versailles : , : Editions Quae, , 2022"]
[null,null,"Descrizione fisica",null,"1 online resource (71 pages)"]
[null,null,"Collana",null,"Les Mémos de Quae Series"]
[null,null,"Disciplina",null,"628.5"]
[null,null,"Soggetti",null,"Pollution"]
[{"$nulls":4},"Environmental toxicology"]
[null,null,"Lingua di pubblicazione",null,"Francese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"1. Qu'est-ce que l'écotoxicologie ? -- 2. Pourquoi parler de changement de paradigme en écotoxicologie? -- 3. Comment prendre en compte la complexité des processus et mécanismes écotoxicologiques ? -- 4. Pourquoi la relation de cause à effet est-elle si compliquée à montrer en milieu naturel et quelles sont les stratégies pour l'aborder ? -- 5. Quelles différences entre écotoxicologie aquatique et terrestre ? -- 6. A quoi sert l'écotoxicologie pour la société ? -- Conclusion : L'écotoxicologie : ce qu'il nous reste à faire pour avancer dans les connaissances -- Glossaire - Quizz."]
[null,null,null,"Sommario/riassunto","Dans un contexte où on sait de mieux en mieux détecter et quantifier les contaminants et mettre en évidence leurs effets sur les organismes, quel peut être aujourd'hui l'apport de l'écotoxicologie ? Une meilleure connaissance des problèmes liés aux contaminants, pouvant conduire à des mesures surprotectrices ? Ou une meilleure appréhension des mécanismes et processus en jeu pour mieux gérer l'écotoxicité des substances dans le milieu ? Cet ouvrage aborde les grandes approches actuelles en écotoxicologie par le biais de questions ouvertes que peuvent se poser les lecteurs curieux de mieux connaître cette discipline ou, plus généralement, soucieux des problématiques environnementales. Les réponses à ces questions offrent un panorama des grandes notions de l'écotoxicologie, des principaux concepts associés et expliquent les ruptures ayant transformé les approches traditionnelles de cette science en une démarche plus holistique intégrant la complexité des conditions réelles. S'intéresser aux processus et mécanismes écotoxicologiques permet de traiter les relations causales entre présence et écotoxicité des contaminants, "]
[{"$nulls":4},"aussi bien en milieu terrestre qu'aquatique. La poursuite des progrès de la science écotoxicologique représente aujourd'hui un enjeu majeur pour rendre compte des relations entre santé et environnement (concept d'Eco-Health)."]
[null,"3.","Record Nr.",null,"UNINA9910968357203321"]
[null,null,"Autore",null,"Krause Paul"]
[null,null,"Titolo",null,"Representing Uncertain Knowledge : An Artificial Intelligence Approach / / by Paul Krause, Dominic Clark"]
[null,null,"Pubbl/distr/stampa",null,"Dordrecht : , : Springer Netherlands : , : Imprint : Springer, , 1993"]
[null,null,"ISBN",null,"94-011-2084-6"]
[null,null,"Edizione",null,"[1st ed. 1993.]"]
[null,null,"Descrizione fisica",null,"1 online resource (IX, 277 p.)"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Compilers (Computer programs)"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Compilers and Interpreters"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,"Nota di contenuto",null,"1 The Nature of Uncertainty -- 1.1 Introduction -- 1.2 Representation and management of uncertainty -- 1.3 The structure of this book -- 2 Bayesian Probability -- 2.1 Introduction -- 2.2 Foundations -- 2.3 Resolution by independence -- 2.4 Belief propagation through local computation -- 2.5 MUNIN - An application of probabilistic reasoning in electromyography -- 2.6 Learning from the children of Great Ormond Street -- 2.7 Discussion -- 2.8 Conclusions -- 3 The Certainty Factor Model -- 3.1 Introduction -- 3.2 Operation -- 3.3 Simple worked example -- 3.4 Discussion -- 3.5 Conclusions -- 4 Epistemic Probability: the Dempster-Shafer theory of evidence -- 4.1 Introduction -- 4.2 A short history of epistemic probability -- 4.3 The Dempster-Shafer theory of evidence -- 4.4 How to act on a belief -- 4.5 Evidential reasoning applied to robot navigation -- 4.6 Discussion -- 4.7 Conclusions -- 5 Reasoning with Imprecise and Vague Data -- 5.1 Introduction -- 5.2 Crisp sets and imprecision -- 5.3 Vague and approximate concepts -- 5.4 Possibilistic logic -- 5.5 Discussion -- 5.6 Conclusions -- 6 Non-monotonic Logic -- 6.1 Introduction -- 6.2 A brief overview of formal logic -- 6.3 Non-monotonic logics -- 6.4 Discussion -- 6.5 Conclusion -- 7 Argumentation -- 7.1 Introduction -- 7.2 Heuristic models of argumentation -- 7.3 Logical models of argumentation -- 7.4 Discussion -- 7.5 Conclusions -- 8 Overview -- 8.1 Introduction -- 8.2 Resumé -- 8.3 Verbal uncertainty expressions -- 8.4 Uncertainty and decision making -- 8.5 Meta-level reasoning "]
[{"$nulls":4},"and control -- 8.6 Future trends: the convergence of symbolic and quantitative methods? -- References -- Author Index."]
[null,null,null,"Sommario/riassunto","The representation of uncertainty is a central issue in Artificial Intelligence (AI) and is being addressed in many different ways. Each approach has its proponents, and each has had its detractors. However, there is now an in­ creasing move towards the belief that an eclectic approach is required to represent and reason under the many facets of uncertainty. We believe that the time is ripe for a wide ranging, yet accessible, survey of the main for­ malisms. In this book, we offer a broad perspective on uncertainty and approach­ es to managing uncertainty. Rather than provide a daunting mass of techni­ cal detail, we have focused on the foundations and intuitions behind the various schools. The aim has been to present in one volume an overview of the major issues and decisions to be made in representing uncertain knowl­ edge. We identify the central role of managing uncertainty to AI and Expert Systems, and provide a comprehensive introduction to the different aspects of uncertainty. We then describe the rationales, advantages and limitations of the major approaches that have been taken, using illustrative examples. The book ends with a review of the lessons learned and current research di­ rections in the field. The intended readership will include researchers and practitioners in­ volved in the design and implementation of Decision Support Systems, Ex­ pert Systems, other Knowledge-Based Systems and in Cognitive Science."]