New appleman insurance law practice guide : Volume 4. / / Jeffrey E Thomas

• Record Nr.: UNISA996642417803316
• Autore: Thomas Jeffrey E
• Pubbl/distr/stampa: Cleveland, : LexisNexis, 2018
• ISBN: 9781522169154
• Edizione: [2019 ed.]
• Descrizione fisica: 1 online resource
• Collana: New Appleman Insurance Law Practice Guide (2019), ; 4.
• Soggetti: Deskbook; Insurance Law; National; Practice Guide
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Title from eBook information screen..
• Sommario/riassunto: This edition of the New Appleman Insurance Law Practice Guide is the indispensable research tool that provides step-by-step guidance on each phase of an insurance coverage dispute along with strategies written by expert practitioners that help you win. Written from policyholder, insurer and judicial perspectives, this unique four-volume set combines savvy procedural guidance and authoritative analysis of the law. The task-based format is designed to fit comfortably into your work flow and guides you through how to analyze an insurance policy, determine the merits of a coverage dispute and then whether and how to successfully arbitrate, mediate, settle, sue, or defend. It helps you understand pertinent procedural rules and strategies as well as the substantive law applicable to all major insurance lines, including new analyses of intellectual property insurance, cyber insurance and personal and advertising injury coverage. Eighty expert authors, consultants and editors constituting many of the leading authorities in insurance law today contributed to this publication. The New Appleman Insurance Law Practice Guide features a variety of practice tips throughout the publication, including strategic points, timing requirement, warnings, traps to avoid and more. It also features ; hundreds of examples, over 200 checklists and dozens of forms to aid all phases of insurance coverage dispute practice. There are abundant sample searches and cross references that take you to pertinent ISO forms, and LexisNexis insurance and civil procedure publications to enable deeper research and facilitate finding answers to the most complex insurance coverage questions. You'll find authoritative and practical coverage throughout the guide's 49 chapters and numerous appendices, comparing the positions of the 50 states on decisive insurance coverage issues.

Probabilistic reasoning in multiagent systems : a graphical models approach / / Yang Xiang

• Record Nr.: UNINA9910970810303321
• Autore: Xiang Yang <1954->
• Pubbl/distr/stampa: Cambridge : , : Cambridge University Press, , 2002
• ISBN: 1-107-13315-7; 0-521-15390-5; 1-280-43403-1; 9786610434039; 0-511-17772-0; 0-511-14812-7; 0-511-30516-8; 0-511-54693-9; 0-511-04544-1
• Edizione: [1st ed.]
• Descrizione fisica: 1 online resource (xii, 294 pages) : digital, PDF file(s)
• Disciplina: 006.3
• Soggetti: Distributed artificial intelligence; Bayesian statistical decision theory - Data processing; Multiagent systems
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Title from publisher's bibliographic system (viewed on 05 Oct 2015).
• Nota di bibliografia: Includes bibliographical references (p. 287-291) and index.
• Nota di contenuto: Intelligent Agents -- Reasoning about the Environment -- Why ; Uncertain Reasoning? -- Multiagent Systems -- Cooperative Multiagent Probabilistic Reasoning -- Application Domains -- Bayesian Networks -- Basics on Bayesian Probability Theory -- Belief Updating Using JPD -- Graphs -- Local Computation and Message Passing -- Message Passing over Multiple Networks -- Approximation with Massive Message Passing -- Belief Updating and Cluster Graphs -- Conventions for Message Passing in Cluster Graphs -- Relation with [lambda] -- [pi] Message Passing -- Message Passing in Nondegenerate Cycles -- Message Passing in Degenerate Cycles -- Junction Trees -- Junction Tree Representation -- Graphical Separation -- Sufficient Message and Independence -- Encoding Independence in Graphs -- Junction Trees and Chordal Graphs -- Triangulation by Elimination -- Junction Trees as I-maps -- Junction Tree Construction -- Belief Updating with Junction Trees -- Algebraic Properties of Potentials -- Potential Assignment in Junction Trees -- Passing Belief over Separators -- Passing Belief through a Junction Tree -- Processing Observations -- Multiply Sectioned Bayesian Networks -- The Task of Distributed Uncertain Reasoning -- Organization of Agents during Communication -- Agent Interface -- Multiagent Dependence Structure -- Linked Junction Forests -- Multiagent Distributed Compilation of MSBNs -- Multiagent Moralization of MSDAG -- Effective Communication Using Linkage Trees -- Linkage Trees as I-maps -- Multiagent Triangulation.
• Sommario/riassunto: This 2002 book investigates the opportunities in building intelligent decision support systems offered by multi-agent distributed probabilistic reasoning. Probabilistic reasoning with graphical models, also known as Bayesian networks or belief networks, has become increasingly an active field of research and practice in artificial intelligence, operations research and statistics. The success of this technique in modeling intelligent decision support systems under the centralized and single-agent paradigm has been striking. Yang Xiang extends graphical dependence models to the distributed and multi-agent paradigm. He identifies the major technical challenges involved in such an endeavor and presents the results. The framework developed in the book allows distributed representation of uncertain knowledge on a large and complex environment embedded in multiple cooperative agents, and effective, exact and distributed probabilistic inference.