Download or read book L intelligence artificielle en action written by Damien Gromier and published by Editions Eyrolles. This book was released on 2020-11-12 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: DANS LES COULISSES DES SUCCÈS DE L’INTELLIGENCE ARTIFICIELLE Tout le monde aujourd’hui parle de l’intelligence artificielle (IA). Fascinante pour certains, inquiétante pour d’autres, cette technologie véhicule de nombreux fantasmes. Souvent abordée sous l’angle exclusivement philosophique ou technique, elle l’est peu sous celui de ses bénéfices réels. Et pourtant, dans les domaines de la santé, de l’environnement, de l’assurance, de l’énergie, ses usages se révèlent plus que prometteurs. Qu’apporte-t-elle concrètement ? Comment les technologies d’IA sont-elles conçues, choisies, déployées, apprivoisées, améliorées ? Quelles sont les clés des projets d’IA réussis, positifs pour les usagers et pour l’organisation qui les met en œuvre ? Pour répondre à ces questions, l’auteur est allé à la rencontre de celles et ceux qui sont en prise au quotidien avec la réalité de l’IA : start-up, entreprises, institutions ou associations. Au travers d’une large sélection de cas d’usages, de retours d’expérience, de bonnes pratiques et de courtes fictions, cet ouvrage propose une véritable immersion dans la réalité de l’IA et permettra au lecteur d’appréhender tous les possibles qu’elle ouvre : Découvrir une grande diversité d’applications concrètes de l’IA. Avoir accès aux points de vue et recommandations des acteurs qui conçoivent et déploient l’IA dans l’entreprise, la recherche, les ONG (Implicity, Hôpital Fondation Rothschild, Incepto, Société Générale, Dathena, Microsoft France, EDF, Namr, Atlan Space, Energiency, Tunnel Lab Bouygues, BlueCargo, Scortex, Saagie, Health Data Hub, IBM, institut PRAIRIE, ONU). Maîtriser les enjeux des projets structurants de l’écosystème IA en France et en Europe.
Download or read book Action Programming Languages written by Michael Thielscher and published by Morgan & Claypool Publishers. This book was released on 2008 with total page 101 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial systems that think and behave intelligently are one of the most exciting and challenging goals of Artificial Intelligence. Action Programming is the art and science of devising high-level control strategies for autonomous systems which employ a mental model of their environment and which reason about their actions as a means to achieve their goals. Applications of this programming paradigm include autonomous software agents, mobile robots with high-level reasoning capabilities, and General Game Playing. These lecture notes give an in-depth introduction to the current state-of-the-art in action programming. The main topics are knowledge representation for actions, procedural action programming, planning, agent logic programs, and reactive, behavior-based agents. The only prerequisite for understanding the material in these lecture notes is some general programming experience and basic knowledge of classical first-order logic.
Download or read book Les intelligences artificielles au prisme de la justice sociale Considering Artificial Intelligence Through the Lens of Social Justice written by Collectif Collectif and published by Presses de l'Université Laval. This book was released on 2024-07-24T00:00:00-04:00 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cet ouvrage vient clôturer deux années de réflexion intensive sur les enjeux à l’intersection entre la justice sociale et les technologies d’IA. Une compréhension de ces impacts sociétaux dépasse alors l’aspect technique pour se concentrer principalement sur le fait social.
Download or read book Intelligence artificielle written by Stuart Russell and published by Pearson. This book was released on 2021-09-03 with total page 1000 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cet ouvrage est LE manuel de référence en intelligence artificielle. C'est le seul ouvrage à couvrir de façon aussi complète et moderne tout le champ théorique et pratique de l’intelligence artificielle. C’est aussi le seul ouvrage à proposer une vision unifiée de l’intelligence artificielle, centrée autour de la notion d’agent intelligent. Les différents champs disciplinaires autour de l’IA sont abordés avec un très grand nombre de renvois entre les sections, ce qui constitue une richesse inestimable de l’ouvrage qui expose les connexions entre des domaines qui sont le plus souvent présentés comme indépendants. La 4e édition informe les lecteurs sur les dernières technologies, présente les concepts de manière plus unifiée et couvre de manière nouvelle ou élargie l’apprentissage automatique, l’apprentissage profond, l’apprentissage par transfert, les systèmes multi-agents, la robotique, le traitement du langage naturel, la causalité, la programmation probabiliste, le respect de la vie privée, l’équité et la sécurité.
Download or read book The Shape of Actions written by Harry M. Collins and published by MIT Press. This book was released on 1998 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: What can humans do? What can machines do? How do humans delegate actions to machines? In this text, Harry Collins and Martin Kush combine insights from sociology and philosophy to provide an answer to these questions.
Download or read book Deep Learning en Action written by Josh Patterson and published by . This book was released on 2018 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: Plongez au coeur du Deep Learning Ce livre a été écrit pour tous ceux qui souhaitent s'initier au Deep Learning (apprentissage profond). Il est la suite logique du titre "Le Machine learning avec Python" paru en février 2018. Le Deep Learning est une technologie nouvelle qui évolue très rapidement. Ce livre en présente les bases principales de cette technologie. Au coeur de celle-ci on trouve les réseaux de neurones profonds, permettant de modéliser tous types de données et les réseaux de convolution, capables de traiter des images. Et enfin, cette technologie de plus en plus utilisée dans les applications d'intelligence artificielle introduit le notion de Reinforcement Learning (apprentissage par renforcement) qui permet d'optimiser les prises de décision par exemple pour le fonctionnement d'un robot. Au programme : La génèse du Deep Learning Les résaux de neuronnes Les bases des réseaux de type Deep learning L'architecture réseau Créer un réseau type Adapter le réseau à des besoins propres Les architectures spécifiques La vectorisation Le Deep Learning et DL4J sur Spark Au coeur de l'intelligence artificielle RL4J et Reinforcement Learning.
Download or read book Cognitive and Social Action written by Rosaria Conte and published by Psychology Press. This book was released on 1995 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph addresses the worlds of social science theory and artificial intelligence AI. The book examines the interaction of individual cognitive factors and social influence on human action and discusses the implications for developments in artificial intelligence.; This book is intended for graduate and research level artificial intelligence and social science theory including sociology, economics, psychology.
Download or read book Deep Reinforcement Learning in Action written by Alexander Zai and published by Manning Publications. This book was released on 2020-04-28 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Humans learn best from feedback—we are encouraged to take actions that lead to positive results while deterred by decisions with negative consequences. This reinforcement process can be applied to computer programs allowing them to solve more complex problems that classical programming cannot. Deep Reinforcement Learning in Action teaches you the fundamental concepts and terminology of deep reinforcement learning, along with the practical skills and techniques you’ll need to implement it into your own projects. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Deep reinforcement learning AI systems rapidly adapt to new environments, a vast improvement over standard neural networks. A DRL agent learns like people do, taking in raw data such as sensor input and refining its responses and predictions through trial and error. About the book Deep Reinforcement Learning in Action teaches you how to program AI agents that adapt and improve based on direct feedback from their environment. In this example-rich tutorial, you’ll master foundational and advanced DRL techniques by taking on interesting challenges like navigating a maze and playing video games. Along the way, you’ll work with core algorithms, including deep Q-networks and policy gradients, along with industry-standard tools like PyTorch and OpenAI Gym. What's inside Building and training DRL networks The most popular DRL algorithms for learning and problem solving Evolutionary algorithms for curiosity and multi-agent learning All examples available as Jupyter Notebooks About the reader For readers with intermediate skills in Python and deep learning. About the author Alexander Zai is a machine learning engineer at Amazon AI. Brandon Brown is a machine learning and data analysis blogger. Table of Contents PART 1 - FOUNDATIONS 1. What is reinforcement learning? 2. Modeling reinforcement learning problems: Markov decision processes 3. Predicting the best states and actions: Deep Q-networks 4. Learning to pick the best policy: Policy gradient methods 5. Tackling more complex problems with actor-critic methods PART 2 - ABOVE AND BEYOND 6. Alternative optimization methods: Evolutionary algorithms 7. Distributional DQN: Getting the full story 8.Curiosity-driven exploration 9. Multi-agent reinforcement learning 10. Interpretable reinforcement learning: Attention and relational models 11. In conclusion: A review and roadmap
Download or read book Reasoning Action and Interaction in AI Theories and Systems written by Oliviero Stock and published by Springer. This book was released on 2006-09-21 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: The present book is a festschrift in honor of Luigia Carlucci Aiello. The 18 articles included are written by former students, friends, and international colleagues, who have cooperated with Luigia Carlucci Aiello, scientifically or in AI boards or committees. The contributions by reputed researchers span a wide range of AI topics and reflect the breadth and depth of Aiello's own work.
Download or read book Predicting Human Decision Making written by Ariel Geib and published by Springer Nature. This book was released on 2022-05-31 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human decision-making often transcends our formal models of "rationality." Designing intelligent agents that interact proficiently with people necessitates the modeling of human behavior and the prediction of their decisions. In this book, we explore the task of automatically predicting human decision-making and its use in designing intelligent human-aware automated computer systems of varying natures—from purely conflicting interaction settings (e.g., security and games) to fully cooperative interaction settings (e.g., autonomous driving and personal robotic assistants). We explore the techniques, algorithms, and empirical methodologies for meeting the challenges that arise from the above tasks and illustrate major benefits from the use of these computational solutions in real-world application domains such as security, negotiations, argumentative interactions, voting systems, autonomous driving, and games. The book presents both the traditional and classical methods as well as the most recent and cutting edge advances, providing the reader with a panorama of the challenges and solutions in predicting human decision-making.
Download or read book Collective Intelligence in Action written by Satnam Alag and published by Simon and Schuster. This book was released on 2008-09-30 with total page 609 pages. Available in PDF, EPUB and Kindle. Book excerpt: There's a great deal of wisdom in a crowd, but how do you listen to a thousand people talking at once? Identifying the wants, needs, and knowledge of internet users can be like listening to a mob. In the Web 2.0 era, leveraging the collective power of user contributions, interactions, and feedback is the key to market dominance. A new category of powerful programming techniques lets you discover the patterns, inter-relationships, and individual profiles-the collective intelligence--locked in the data people leave behind as they surf websites, post blogs, and interact with other users. Collective Intelligence in Action is a hands-on guidebook for implementing collective intelligence concepts using Java. It is the first Java-based book to emphasize the underlying algorithms and technical implementation of vital data gathering and mining techniques like analyzing trends, discovering relationships, and making predictions. It provides a pragmatic approach to personalization by combining content-based analysis with collaborative approaches. This book is for Java developers implementing Collective Intelligence in real, high-use applications. Following a running example in which you harvest and use information from blogs, you learn to develop software that you can embed in your own applications. The code examples are immediately reusable and give the Java developer a working collective intelligence toolkit. Along the way, you work with, a number of APIs and open-source toolkits including text analysis and search using Lucene, web-crawling using Nutch, and applying machine learning algorithms using WEKA and the Java Data Mining (JDM) standard. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.
Download or read book Intelligence artificielle et g n ration de plans d actions written by Jean-Daniel Dessimoz and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Vision Instruction and Action written by David Chapman and published by Mit Press. This book was released on 1991 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: Vision, Instruction, and Action clearly and cleverly describes a sophisticated integrated system called Sonja that takes instruction, can interpret its environment visually, and can play games (in this case the video game, Amazon) on its own. Sonja integrates advances in intermediate visual processing, interactive activity, and natural language pragmatics. In demonstrating that such systems, rare in artificial intelligence, are possible, David Chapman shows how discoveries in visual psychophysics can be incorporated into Al, how complex activity can result from participation rather than plan following, and how physical context can be used to interpret indexical instructions. Sonja is able to play a competent beginner's game of Amazon autonomously and at the same time can also make flexible use of human instructions in knowing how to kill off monsters, pick up and use tools, and find its way in a dungeon maze. It extends the author's previous work in developing a new theory of activity by addressing linguistic issues and providing a better understanding of the architecture underlying activity, incorporating many technical improvements. Sonja also models several pragmatic issues in computational linguistics, focusing on external reference and including linguistic repair processing, and the use of temporal and spatial expressions. It connects language use with more detailed and realistic theories of vision and activity. In the field of vision research, Sonja provides an implementation of a unified visual architecture, demonstrating that this architecture can support a serious theory of activity. It demonstrates the first instance that various visual mechanisms previously proposed on psychophysical, neurophysiological, and speculative computational grounds can be made useful by connecting them with a natural task domain. David Chapman is a Computer Scientist with Teleos Research in Palo Alto.
Download or read book Action Programming Languages written by Michael Hexmoor and published by Springer Nature. This book was released on 2022-05-31 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial systems that think and behave intelligently are one of the most exciting and challenging goals of Artificial Intelligence. Action Programming is the art and science of devising high-level control strategies for autonomous systems which employ a mental model of their environment and which reason about their actions as a means to achieve their goals. Applications of this programming paradigm include autonomous software agents, mobile robots with high-level reasoning capabilities, and General Game Playing. These lecture notes give an in-depth introduction to the current state-of-the-art in action programming. The main topics are knowledge representation for actions, procedural action programming, planning, agent logic programs, and reactive, behavior-based agents. The only prerequisite for understanding the material in these lecture notes is some general programming experience and basic knowledge of classical first-order logic. Table of Contents: Introduction / Mathematical Preliminaries / Procedural Action Programs / Action Programs and Planning / Declarative Action Programs / Reactive Action Programs / Suggested Further Reading
Download or read book Social Action and Artificial Intelligence written by G. Nigel Gilbert and published by . This book was released on 1985 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book ECAI 2006 written by G. Brewka and published by IOS Press. This book was released on 2006-08-10 with total page 892 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the summer of 1956, John McCarthy organized the famous Dartmouth Conference which is now commonly viewed as the founding event for the field of Artificial Intelligence. During the last 50 years, AI has seen a tremendous development and is now a well-established scientific discipline all over the world. Also in Europe AI is in excellent shape, as witnessed by the large number of high quality papers in this publication. In comparison with ECAI 2004, there’s a strong increase in the relative number of submissions from Distributed AI / Agents and Cognitive Modelling. Knowledge Representation & Reasoning is traditionally strong in Europe and remains the biggest area of ECAI-06. One reason the figures for Case-Based Reasoning are rather low is that much of the high quality work in this area has found its way into prestigious applications and is thus represented under the heading of PAIS.
