The use of AI in social sciences is on the rise and gaining significant momentum. The book aims to demystify AI and its applications in social sciences by offering a straightforward description of its key concepts and tools, all in an easy-to-understand language.
The book delves into the fundamental elements of AI systems, shedding light on their capabilities as well as their inherent constraints. Moreover, the author explores AI tools that find applications in the realm of social sciences, including decision support systems rooted in machine learning, as well as knowledge-based. In addition, the book addresses the pertinent issues that, while not purely AI-related, are crucial in AI applications within the social sciences, most notably security and privacy considerations.
The content should be accessible to an audience ranging from undergraduate students to researchers and practitioners in the fields of AI and social sciences, assuming they possess a basic understanding of mathematics and a keen interest in the subject. This book is a bridge between the worlds of AI and social sciences, aiming to provide a fundamental understanding for those eager to explore the intersection of these two domains.
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Vicenç Torra is Professor of Artificial Intelligence in the Dept. of Computing Science at Umeå University. He has a PhD in Computer Science / AI from Polytechnical University of Catalonia in 1994. He has held positions at Universitat Rovira i Virgili (Catalonia, Spain), Artificial Intelligence Research Institute - Spanish Council for Scientific Research (IIIA-CSIC), Skövde University (2014-2020, Professorship, Sweden), and Maynooth University (2018-2020, Professorship, Ireland). Additionally, he has undertaken visiting positions at Tsukuba University in Japan, and maintains a longstanding and fruitful collaboration with Japanese researchers. Torra's areas of expertise center on artificial intelligence, with a particular focus on data privacy and approximate reasoning (reasoning under uncertainty, fuzzy sets and systems). He is IEEE and EurAI fellow, and ISI elected member. He has written several books including "Fundamentals of artificial intelligence" (in Catalan, Open University Press, 2007), "Modeling Decisions" (with Y. Narukawa, Springer, 2007), "Scala: from a functional programming perspective" (Springer, 2016), "Guide to data privacy" (Springer, 2022).
The use of AI in social sciences is on the rise and gaining significant momentum. The book aims to demystify AI and its applications in social sciences by offering a straightforward description of its key concepts and tools, all in an easy-to-understand language.
The book delves into the fundamental elements of AI systems, shedding light on their capabilities as well as their inherent constraints. Moreover, the author explores AI tools that find applications in the realm of social sciences, including decision support systems rooted in machine learning, as well as knowledge-based. In addition, the book addresses the pertinent issues that, while not purely AI-related, are crucial in AI applications within the social sciences, most notably security and privacy considerations.
The content should be accessible to an audience ranging from undergraduate students to researchers and practitioners in the fields of AI and social sciences, assuming they possess a basic understanding of mathematics and a keen interest in the subject. This book is a bridge between the worlds of AI and social sciences, aiming to provide a fundamental understanding for those eager to explore the intersection of these two domains.
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Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The use of AI in social sciences is on the rise and gaining significant momentum. The book aims to demystify AI and its applications in social sciences by offering a straightforward description of its key concepts and tools, all in an easy-to-understand language.The book delves into the fundamental elements of AI systems, shedding light on their capabilities as well as their inherent constraints. Moreover, the author explores AI tools that find applications in the realm of social sciences, including decision support systems rooted in machine learning, as well as knowledge-based. In addition, the book addresses the pertinent issues that, while not purely AI-related, are crucial in AI applications within the social sciences, most notably security and privacy considerations.The content should be accessible to an audience ranging from undergraduate students to researchers and practitioners in the fields of AI and social sciences, assuming they possess a basic understanding of mathematics and a keen interest in the subject. This book is a bridge between the worlds of AI and social sciences, aiming to provide a fundamental understanding for those eager to explore the intersection of these two domains. 176 pp. Englisch. Bestandsnummer des Verkäufers 9783032072153
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Buch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The use of AI in social sciences is on the rise and gaining significant momentum. The book aims to demystify AI and its applications in social sciences by offering a straightforward description of its key concepts and tools, all in an easy-to-understand language.The book delves into the fundamental elements of AI systems, shedding light on their capabilities as well as their inherent constraints. Moreover, the author explores AI tools that find applications in the realm of social sciences, including decision support systems rooted in machine learning, as well as knowledge-based. In addition, the book addresses the pertinent issues that, while not purely AI-related, are crucial in AI applications within the social sciences, most notably security and privacy considerations.The content should be accessible to an audience ranging from undergraduate students to researchers and practitioners in the fields of AI and social sciences, assuming they possess a basic understanding of mathematics and a keen interest in the subject. This book is a bridge between the worlds of AI and social sciences, aiming to provide a fundamental understanding for those eager to explore the intersection of these two domains.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 192 pp. Englisch. Bestandsnummer des Verkäufers 9783032072153
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Buch. Zustand: Neu. AI for Social Sciences | With an Introduction to Security, Privacy, Ethics and Society Impacts | Vicenç Torra | Buch | xv | Englisch | 2026 | Springer | EAN 9783032072153 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 134563071
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The use of AI in social sciences is on the rise and gaining significant momentum. The book aims to demystify AI and its applications in social sciences by offering a straightforward description of its key concepts and tools, all in an easy-to-understand language.The book delves into the fundamental elements of AI systems, shedding light on their capabilities as well as their inherent constraints. Moreover, the author explores AI tools that find applications in the realm of social sciences, including decision support systems rooted in machine learning, as well as knowledge-based. In addition, the book addresses the pertinent issues that, while not purely AI-related, are crucial in AI applications within the social sciences, most notably security and privacy considerations.The content should be accessible to an audience ranging from undergraduate students to researchers and practitioners in the fields of AI and social sciences, assuming they possess a basic understanding of mathematics and a keen interest in the subject. This book is a bridge between the worlds of AI and social sciences, aiming to provide a fundamental understanding for those eager to explore the intersection of these two domains. Bestandsnummer des Verkäufers 9783032072153
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