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        Computers / Computer Engineering

        Showing results 1-9 of 9

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        Formal Methods for Multi-Agent Feedback Control Systems

        Formal Methods for Multi-Agent Feedback Control Systems

        Formal Methods for Multi-Agent Feedback Control Systems

        by Lars Lindemann and Dimos V. Dimarogonas

        ISBN: 9780262049719

        Publisher: The MIT Press

        Pub Date: April 29, 2025

        An introduction to formal methods for feedback control of multi-agent systems with safety and performance guarantees.
        Principles of Cyber-Physical Systems

        Principles of Cyber-Physical Systems

        Principles of Cyber-Physical Systems

        by Rajeev Alur

        ISBN: 9780262548922

        Publisher: The MIT Press

        Pub Date: August 15, 2023

        A foundational text that offers a rigorous introduction to the principles of design, specification, modeling, and analysis of cyber-physical systems.
        Modeling and Analysis of Communicating Systems

        Modeling and Analysis of Communicating Systems

        Modeling and Analysis of Communicating Systems

        by Jan Friso Groote and Mohammad Reza Mousavi

        ISBN: 9780262547871

        Publisher: The MIT Press

        Pub Date: May 9, 2023

        Rigorous theory and real-world applications for modeling and analysis of the behavior of complex communicating computer systems
        Information-Driven Planning and Control

        Information-Driven Planning and Control

        Information-Driven Planning and Control

        by Silvia Ferrari and Thomas A. Wettergren

        ISBN: 9780262045421

        Publisher: The MIT Press

        Pub Date: July 6, 2021

        A unified framework for developing planning and control algorithms for active sensing, with examples of applications for modern sensor technologies.
        Probabilistic Machine Learning for Civil Engineers

        Probabilistic Machine Learning for Civil Engineers

        Probabilistic Machine Learning for Civil Engineers

        by James-A. Goulet

        ISBN: 9780262538701

        Publisher: The MIT Press

        Pub Date: April 7, 2020

        An introduction to key concepts and techniques in probabilistic machine learning for civil engineering students and professionals; with many step-by-step examples, illustrations, and exercises.
        Introduction to Machine Learning

        Introduction to Machine Learning, fourth edition

        Introduction to Machine Learning

        by Ethem Alpaydın

        ISBN: 9780262043793

        Publisher: The MIT Press

        Pub Date: March 17, 2020

        A substantially revised fourth edition of a comprehensive textbook, including new coverage of recent advances in deep learning and neural networks.
        Quantum Computing

        Quantum Computing

        Quantum Computing

        A Gentle Introduction

        by Eleanor G. Rieffel and Wolfgang H. Polak

        ISBN: 9780262526678

        Publisher: The MIT Press

        Pub Date: August 29, 2014

        A thorough exposition of quantum computing and the underlying concepts of quantum physics, with explanations of the relevant mathematics and numerous examples.
        Introduction to Machine Learning

        Introduction to Machine Learning, second edition

        Introduction to Machine Learning

        by Ethem Alpaydın

        ISBN: 9780262012430

        Publisher: The MIT Press

        Pub Date: December 4, 2009

        A new edition of an introductory text in machine learning that gives a unified treatment of machine learning problems and solutions.
        Aesthetic Computing

        Aesthetic Computing

        Aesthetic Computing

        Edited by Paul A. Fishwick

        ISBN: 9780262562379

        Publisher: The MIT Press

        Pub Date: August 29, 2008

        In Aesthetic Computing, key scholars and practitioners from art, design, computer science, and mathematics lay the foundations for a discipline that applies the theory and practice of art to computing....
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