Search Results - "Decision making"

Foundations of decision-making agents logic, probability and modality / by Das, Subrata Kumar

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Multicriteria decision aid and artificial intelligence links, theory and applications / by Doumpos, Michael

Table of Contents: “…Machine generated contents note: List of Contributors Preface Part One The Contributions of Intelligent Techniques in Multicriteria Decision Aiding 1 Computational Intelligence Techniques for Multicriteria Decision Aiding: An Overview 1.1 Introduction 1.2 The MCDA Paradigm 1.2.1 Modeling Process 1.2.2 Methodological Approaches 1.3 Computational Intelligence in MCDA 1.3.1 Statistical Learning and Data Mining 1.3.2 Fuzzy Modeling 1.3.3 Metaheuristics 1.4 Conclusions References 2 Intelligent Decision Support Systems 2.1 Introduction 2.2 Fundamentals of Human Decision Making 2.3 Decision Support System 2.4 Intelligent Decision Support Systems 2.4.1 Artificial Neural Networks for Intelligent Decision Support 2.4.2 Fuzzy Logic for Intelligent Decision Support 2.4.3 Expert Systems for Intelligent Decision Support 2.4.4 Evolutionary Computing for Intelligent Decision Support 2.4.5 Intelligent Agents for Intelligent Decision Support 2.5 Evaluating Intelligent Decision Support Systems 2.5.1 Determining Evaluation Criteria 2.5.2 Multi-Criteria Model for IDSS Assessment 2.6 Summary and Future Trends References Part Two Intelligent Technologies for Decision Support and Preference Modeling 3 Designing Distributed Multi-Criteria Decision Support Systems for Complex and Uncertain Situations 3.1 Introduction 3.2 Example Applications 3.3 Key Challenges 3.4 Making Trade-offs: Multi-criteria Decision Analysis 3.4.1 Multi-attribute Decision Support 3.4.2 Making Trade-offs Under Uncertainty 3.5 Exploring the Future: Scenario-based Reasoning 3.6 Making Robust Decisions: Combining MCDA and SBR 3.6.1 Decisions Under Uncertainty: The Concept of Robustness 3.6.2 Combining Scenarios and MCDA 3.6.3 Collecting, Sharing and Processing Information: A Distributed Approach 3.6.4 Keeping Track of Future Developments: Constructing Comparable Scenarios 3.6.5 Respecting Constraints and Requirements: Scenario Management 3.6.6 Assisting Evaluation: Assessing Large Numbers of Scenarios 3.7 Discussion 3.8 Conclusion References 4 Preference Representation with Ontologies 4.1 Introduction 4.1.1 Structure of the Chapter 4.2 Ontology-based Preference Models 4.3 Maintaining the User's Profile up to Date 4.4 Decision Making Methods Exploiting the Preference Information Stored in Ontologies 4.4.1 Recommendation Based on Aggregation 4.4.2 Recommendation Based on Similarities 4.4.3 Recommendation Based on Rules 4.5 Discussion and Open Questions References Part Three Decision Models 5 Neural Networks in Multicriteria Decision Support 5.1 Introduction 5.2 Basic Concepts of Neural Networks 5.2.1 Neural Networks for Intelligent Decision Support 5.3 Basics in Multicriteria Decision Aid 5.3.1 MCDM Problems 5.3.2 Solutions of MCDM Problems 5.4 Neural Networks and Multicriteria Decision Support 5.4.1 Review of Neural Network Applications to MCDM Problems 5.4.2 Discussion 5.5 Summary and Conclusions References 6 Rule-Based Approach to Multicriteria Ranking 6.1 Introduction 6.2 Problem Setting 6.3 Pairwise Comparison Table (PCT) 6.4 Rough Approximation of Outranking and Non-outranking Relations 6.5 Induction and Application of Decision Rules 6.6 Exploitation of Preference Graphs 6.7 Illustrative Example 6.8 Summary and Conclusions References 7 About the Application of Evidence Theory in MultiCriteria Decision Aid 7.1 Introduction 7.2 Evidence Theory: Some Concepts 7.2.1 Knowledge Model 7.2.2 Combination 7.2.3 Decision Making 7.3 New Concepts in Evidence Theory for MCDA 7.3.1 First Belief Dominance 7.3.2 RBBD Concept 7.4 Multicriteria Methods modeled by Evidence Theory 7.4.1 Evidential Reasoning Approach 7.4.2 DS/AHP 7.4.3 DISSET 7.4.4 A Choice Model Inspired by ELECTRE I 7.4.5 A Ranking Model Inspired by Xu et al.'…”
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Anigrafs : experiments in cooperative cognitive architecture / by Richards, Whitman

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Intelligent decision technologies : proceedings of the 5th International Conference on Intelligent Decision Technologies (KES-IDT 2013) /

Subjects: “…Decision making Data processing Congresses.…”
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It's all analytics! : the foundations of AI, big data, and data science landscape for professionals in healthcare, business, and government / by Burk, Scott William, 1961-, Miner, Gary

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Business Processes An Archival Science Approach to Collaborative Decision Making, Records, and Knowledge Management / by Menne-Haritz, Angelika

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Artificial intelligence in medicine part 1 of 2, history & state of the art /

Subjects: “…Clinical medicine Decision making Data processing. 91295…”
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Artificial intelligence in medicine part 2 of 2, scaling & deployment of applications /

Subjects: “…Clinical medicine Decision making Data processing. 91340…”
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AI for medical devices

Table of Contents: “…Contents: Artificial intelligence -- AI in healthcare -- Shared decision-making -- Value-based care -- Patient identification -- Personalized healthcare -- Patient Finder -- OM1 Medical Burden Index (OMBI) -- OMBI Score.…”
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New State of MCDM in the 21st Century Selected Papers of the 20th International Conference on Multiple Criteria Decision Making 2009 / by Shi, Yong

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Computational Context : The Value, Theory and Application of Context with AI / by Lawless, William F., Mittu, Ranjeev, Sofge, Donald

Table of Contents: “…Pattipati -- The Shared Story Narrative Principles for Innovative Collaboration -- Beth Cardier -- Algebraic Modeling of the Causal Break and Representation of the Decision Process in Contextual Structures -- Olivier Bartheye and Laurent Chaudron -- A Contextual Decision-Making Framework -- Eugene Santos Jr., Hien Nguyen, Keum Joo Kim, Jacob A. …”
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Smart Computing Applications in Crowdfunding / by Xing, Bo, Marwala, Tshilidzi

Table of Contents: “…Covering a wide range of detailed topics, the authors of this book offer an outstanding overview of the current state of the art; providing deep insights into smart computing methods, tools, and their applications in crowdfunding; exploring the importance of smart analysis, prediction, and decision-making within fintech industry. This book is intended as an authoritative and valuable resource for professional practitioners and researchers alike, as well as financial, engineering, and computer science students who are interested in crowdfunding and other emerging fintech topics.…”
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AI Meets BI : Artificial Intelligence and Business Intelligence / by Lakshman, Bulusu, Abellera, Rosendo

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Artificial intelligence trends for data analytics using machine learning and deep learning approaches /

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Machine ethics

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Agriculture 5.0 : artificial intelligence, IoT and machine learning / by Ahmad, Latief, Nabi, Firasath

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Game AI pro 360.

Table of Contents: “…Tactical position selection: an architecture and query language / Matthew Jack -- Tactical pathfinding on a NavMesh / Daniel Brewer -- Beyond the kung-fu circle: a flexible system for managing NPC attacks / Michael Dawe -- Hierarchical AI for multiplayer bots in Killzone 3 / Remco Straatman, Tim Verweij, Alex Champandard, Robert Morcus, Hylke Kleve -- Using neural networks to control agent threat response / Michael Robbins -- Looking for trouble : making NPCs search realistically / Rich Welsh -- Modeling perception and awareness in Tom Clancy's Splinter cell blacklist / Martin Walsh -- Escaping the grid : infinite-resolution influence mapping / Mike Lewis -- Modular tactical influence maps / Dave Mark -- Spatial reasoning for strategic decision making / Kevin Dill -- Extending the spatial coverage of a voxel-based navigation mesh / Kevin A. …”
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Data Science and Engineering

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Smart agriculture : emerging pedagogies of deep learning, machine learning and Internet of Things /

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Cognitive computing systems : applications and technological advancements /

Table of Contents: “…Trivedi and Rebakah Jobdas -- Cognitive Decision-Making Through an Intelligent Database Agent for Predictive Analysis / Shivani A. …”
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