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This book discusses the Partially Observable Markov Decision Process (POMDP) framework applied in dialogue systems. It presents POMDP as a formal framework to represent uncertainty explicitly while supporting automated policy solving. The authors propose and implement an end-to-end learning approach for dialogue POMDP model components. Starting from scratch, they present the state, the transition model, the observation model and then finally the reward model from unannotated and noisy dialogues. These altogether form a significant set of contributions that can potentially inspire substantial further work. This concise manuscript is written in a simple language, full of illustrative examples, figures, and tables. Provides insights on building dialogue systems to be applied in real domain Illustrates learning dialogue POMDP model components from unannotated dialogues in a concise format Introduces an end-to-end approach that makes use of unannotated and noisy dialogue for learning each component of dialogue POMDPs.

Telecommunications --- Applied Physics --- Electrical Engineering --- Engineering & Applied Sciences --- Electrical & Computer Engineering --- Natural language processing (Computer science) --- Speech processing systems. --- Markov processes. --- Analysis, Markov --- Chains, Markov --- Markoff processes --- Markov analysis --- Markov chains --- Markov models --- Models, Markov --- Processes, Markov --- NLP (Computer science) --- Engineering. --- User interfaces (Computer systems). --- Artificial intelligence. --- Computational linguistics. --- Electrical engineering. --- Signal, Image and Speech Processing. --- User Interfaces and Human Computer Interaction. --- Communications Engineering, Networks. --- Artificial Intelligence (incl. Robotics). --- Computational Linguistics. --- Electric engineering --- Engineering --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Interfaces, User (Computer systems) --- Human-machine systems --- Human-computer interaction --- Construction --- Industrial arts --- Technology --- Data processing --- Stochastic processes --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Artificial intelligence --- Semantic computing --- Computer science. --- Telecommunication. --- Artificial Intelligence. --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Communication --- Telecommuting --- Informatics --- Science --- Signal processing. --- Image processing. --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication)

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The area intersecting supply chains management with multiagent systems has attracted in the last decade books, workshops, conferences, etc. Recently however, multiagent systems have became more formal borrowing from operations research, game theory and other facets from distributed decision making. The authors takes a close look at what has been done recently in the field of supply chain management using agent technology and more specifically multiagent systems. The book contains sixteen chapters organized in four main parts; Introductory Papers; Multiagent Based Supply Chain Modeling, Collaboration and Coordination Between Agents in a Supply Chain and Multiagent Based Supply Chain Management: Applications. This book is intended as reference material for researchers, graduate students, and practitioners alike who are interested in pursuing research and development in this area, and who need for that, a comprehensive view of the existing literature, and some ideas for future directions.

Business logistics --- Intelligent agents (Computer software) --- Data processing. --- Agents, Autonomous (Computer software) --- Agents, Cognitive (Computer software) --- Agents, Intelligent (Computer software) --- Assistants, Cognitive (Computer software) --- Assistants, Intelligent software --- Autonomous agents (Computer software) --- Cognitive agents (Computer software) --- Cognitive assistants (Computer software) --- IAs (Computer software) --- Intelligent agent software --- Intelligent software agents --- Intelligent software assistants --- Software agents (Computer software) --- Special agents (Computer software) --- Artificial intelligence --- Computer programs --- Engineering mathematics. --- Artificial intelligence. --- Mathematical and Computational Engineering. --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Engineering --- Engineering analysis --- Mathematical analysis --- Mathematics --- Applied mathematics.

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Engineering sciences. Technology --- Artificial intelligence. Robotics. Simulation. Graphics --- analyse (wiskunde) --- ingenieurswetenschappen --- robots

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Formal languages --- Informatique --- Langages formels