Distributed AI in the Modern World by Andrei Olaru (.PDF)
File Size: 18.3 MB
Distributed AI in the Modern World: Technical and Social Aspects of Interacting Intelligent Agents by Andrei Olaru, Luis Gustavo Nardin, Alexandru Sorici, Adina Magda Florea
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Overview: Distributed AI in the Modern World: Technical and Social Aspects of Interacting Intelligent Agents presents state-of-the-art insights into the various forms of distribution of Artificial Intelligence (AI), with practical application instances. Sections provide readers with practical solutions at an architectural level, with solutions presented on the distribution of the learning process and the utilization of Machine Learning models in a distributed system, tools that enable the distribution and interaction of Artificial Intelligence entities, how multi-agent systems and Machine Learning can be combined, the physical embodiment of intelligent agents, and the interaction of intelligent computing units bound to physical space. Following sections emphasize the challenges that are common to all scenarios and solutions that apply in a wider range of cases. This book does not analyze the internal workings of Machine Learning models (for instance, in the case of multi-agent reinforcement learning), but instead provides readers with an overview of the challenges brought by the need of artificially intelligent entities to interact with other entities and with their environments, along with practical solutions at an architectural level. For Computer Science researchers, Artificial Intelligence researchers, and researchers and practitioners working in the fields of Data Science, Machine Learning, and optimization. The primary audience also includes data analysts and software engineers, as well as academics and researchers whose work intersects the field of distributed Artificial Intelligence, with a focus on interaction.
Genre: Non-Fiction > Tech & Devices
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