Foundations Of Decision Making Agents Logic Probability And Modality
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Foundations Of Decision Making Agents
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Author : Subrata Kumar Das
language : en
Publisher: World Scientific
Release Date : 2008
Foundations Of Decision Making Agents written by Subrata Kumar Das and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Mathematics categories.
This self-contained book provides three fundamental and generic approaches (logical, probabilistic, and modal) to representing and reasoning with agent epistemic states, specifically in the context of decision making. Each of these approaches can be applied to the construction of intelligent software agents for making decisions, thereby creating computational foundations for decision-making agents. In addition, the book introduces a formal integration of the three approaches into a single unified approach that combines the advantages of all the approaches. Finally, the symbolic argumentation approach to decision making developed in this book, combining logic and probability, offers several advantages over the traditional approach to decision making which is based on simple rule-based expert systems or expected utility theory.
Foundations Of Decision Making Agents Logic Probability And Modality
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Author : Subrata Das
language : en
Publisher: World Scientific
Release Date : 2008-01-03
Foundations Of Decision Making Agents Logic Probability And Modality written by Subrata Das and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-03 with Computers categories.
This self-contained book provides three fundamental and generic approaches (logical, probabilistic, and modal) to representing and reasoning with agent epistemic states, specifically in the context of decision making. Each of these approaches can be applied to the construction of intelligent software agents for making decisions, thereby creating computational foundations for decision-making agents. In addition, the book introduces a formal integration of the three approaches into a single unified approach that combines the advantages of all the approaches. Finally, the symbolic argumentation approach to decision making developed in this book, combining logic and probability, offers several advantages over the traditional approach to decision making which is based on simple rule-based expert systems or expected utility theory.
Proceedings Of Mac Emm 2014
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Author : Collective of authors
language : en
Publisher: MAC Prague consulting
Release Date : 2014-12-01
Proceedings Of Mac Emm 2014 written by Collective of authors and has been published by MAC Prague consulting this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-01 with Political Science categories.
Conference proceedings - Multidisciplinary Academic Conference on Economics, Management and Marketing in Prague 2014 (MAC-EMM 2014)
Advances In Practical Applications Of Agents Multi Agent Systems And Sustainability The Paams Collection
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Author : Yves Demazeau
language : en
Publisher: Springer
Release Date : 2015-05-20
Advances In Practical Applications Of Agents Multi Agent Systems And Sustainability The Paams Collection written by Yves Demazeau and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-20 with Computers categories.
This book constitutes the refereed proceedings of the 13th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2015, held in Salamanca, Spain, in June 2015. The 10 revised full papers and 9 short papers were carefully reviewed and selected from 48 submissions are presented together with 17 demonstrations. The articles report on the application and validation of agent-based models, methods and technologies in a number of key application areas, including: agents and the energy grid, agents and the traffic grid, affective computing and agent development, ambient and contextual agents, social simulation and social networks and other agent-based applications.
Distributed Data Fusion For Network Centric Operations
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Author : David Hall
language : en
Publisher: CRC Press
Release Date : 2017-12-19
Distributed Data Fusion For Network Centric Operations written by David Hall and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-19 with Computers categories.
With the recent proliferation of service-oriented architectures (SOA), cloud computing technologies, and distributed-interconnected systems, distributed fusion is taking on a larger role in a variety of applications—from environmental monitoring and crisis management to intelligent buildings and defense. Drawing on the work of leading experts around the world, Distributed Data Fusion for Network-Centric Operations examines the state of the art of data fusion in a distributed sensing, communications, and computing environment. Get Insight into Designing and Implementing Data Fusion in a Distributed Network Addressing the entirety of information fusion, the contributors cover everything from signal and image processing, through estimation, to situation awareness. In particular, the work offers a timely look at the issues and solutions involving fusion within a distributed network enterprise. These include critical design problems, such as how to maintain a pedigree of agents or nodes that receive information, provide their contribution to the dataset, and pass to other network components. The book also tackles dynamic data sharing within a network-centric enterprise, distributed fusion effects on state estimation, graph-theoretic methods to optimize fusion performance, human engineering factors, and computer ontologies for higher levels of situation assessment. A comprehensive introduction to this emerging field and its challenges, the book explores how data fusion can be used within grid, distributed, and cloud computing architectures. Bringing together both theoretical and applied research perspectives, this is a valuable reference for fusion researchers and practitioners. It offers guidance and insight for those working on the complex issues of designing and implementing distributed, decentralized information fusion.
High Level Data Fusion
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Author : Subrata Das
language : en
Publisher: Artech House
Release Date : 2008-01-01
High Level Data Fusion written by Subrata Das and has been published by Artech House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-01 with Computational intelligence categories.
The book explores object and situation fusion processes with an appropriate handling of uncertainties, and applies cutting-edge artificial intelligence and emerging technologies like particle filtering, spatiotemporal clustering, net-centricity, agent formalism, and distributed fusion together with essential Level 1 techniques and Level 1/2 interactions.
Computational Business Analytics
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Author : Subrata Das
language : en
Publisher: CRC Press
Release Date : 2013-12-14
Computational Business Analytics written by Subrata Das and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-14 with Business & Economics categories.
Learn How to Properly Use the Latest Analytics Approaches in Your Organization Computational Business Analytics presents tools and techniques for descriptive, predictive, and prescriptive analytics applicable across multiple domains. Through many examples and challenging case studies from a variety of fields, practitioners easily see the connections to their own problems and can then formulate their own solution strategies. The book first covers core descriptive and inferential statistics for analytics. The author then enhances numerical statistical techniques with symbolic artificial intelligence (AI) and machine learning (ML) techniques for richer predictive and prescriptive analytics. With a special emphasis on methods that handle time and textual data, the text: Enriches principal component and factor analyses with subspace methods, such as latent semantic analyses Combines regression analyses with probabilistic graphical modeling, such as Bayesian networks Extends autoregression and survival analysis techniques with the Kalman filter, hidden Markov models, and dynamic Bayesian networks Embeds decision trees within influence diagrams Augments nearest-neighbor and k-means clustering techniques with support vector machines and neural networks These approaches are not replacements of traditional statistics-based analytics; rather, in most cases, a generalized technique can be reduced to the underlying traditional base technique under very restrictive conditions. The book shows how these enriched techniques offer efficient solutions in areas, including customer segmentation, churn prediction, credit risk assessment, fraud detection, and advertising campaigns.
Knowledge Processing And Decision Making In Agent Based Systems
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Author : Lakhmi C Jain
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-01-17
Knowledge Processing And Decision Making In Agent Based Systems written by Lakhmi C Jain and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-01-17 with Mathematics categories.
Knowledge processing and decision making in agent-based systems constitute the key components of intelligent machines. The contributions included in the book are: Innovations in Knowledge Processing and Decision Making in Agent-Based Systems Towards Real-World HTN Planning Agents Mobile Agent-Based System for Distributed Software Maintenance Software Agents in New Generation Networks: Towards the Automation of Telecom Processes Multi-agent Systems and Paraconsistent Knowledge An Agent-based Negotiation Platform for Collaborative Decision-Making in Construction Supply Chain An Event-Driven Algorithm for Agents at the Web A Generic Mobile Agent Framework Toward Ambient Intelligence Developing Actionable Trading Strategies Agent Uncertainty Model and Quantum Mechanics Representation Agent Transportation Layer Adaptation System Software Agents to Enable Service Composition through Negotiation Advanced Technology Towards Developing Decentralized Autonomous Flexible Manufacturing Systems
An Introduction To Decision Theory
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Author : Martin Peterson
language : en
Publisher: Cambridge University Press
Release Date : 2017-03-30
An Introduction To Decision Theory written by Martin Peterson and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-30 with Business & Economics categories.
A comprehensive and accessible introduction to all aspects of decision theory, now with new and updated discussions and over 140 exercises.
Foundations Of Artificial Intelligence In Healthcare And Bioscience
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Author : Louis J. Catania
language : en
Publisher: Academic Press
Release Date : 2020-11-25
Foundations Of Artificial Intelligence In Healthcare And Bioscience written by Louis J. Catania and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-25 with Science categories.
Foundational Handbook of Artificial Intelligence in Healthcare and Bioscience: A User Friendly Guide for IT Professionals, Healthcare Providers, Researchers, and Clinicians uses color-coded illustrations to explain AI from its basics to modern technologies. Other sections cover extensive, current literature research and citations regarding AI's role in the business and clinical aspects of health care. The book provides readers with a unique opportunity to appreciate AI technology in practical terms, understand its applications, and realize its profound influence on the clinical and business aspects of health care. Artificial Intelligence is a disruptive technology that is having a profound and growing influence on the business of health care as well as medical diagnosis, treatment, research and clinical delivery. The AI relationships in health care are complex, but understandable, especially when discussed and developed from their foundational elements through to their practical applications in health care. - Provides an illustrated, foundational guide and comprehensive descriptions of what Artificial Intelligence is and how it functions - Integrates a comprehensive discussion of AI applications in the business of health care - Presents in-depth clinical and AI-related discussions on diagnostic medicine, therapeutic medicine, and prevalent disease categories with an emphasis on immunology and genetics, the two categories most influenced by AI - Includes comprehensive coverage of a variety of AI treatment applications, including medical/pharmaceutical care, nursing care, stem cell therapies, robotics, and 10 common disease categories with AI applications