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Titre : Agent AI for Finance : From Financial Argument Mining to Agent-Based Modeling Type de document : document électronique Auteurs : Chung Chi Chen, Auteur ; Hiroya Takamura, Auteur Editeur : Berlin [Germany] : Springer Nature Limited Année de publication : 2025 Importance : 83 p. Présentation : ill., couv. ill. ISBN/ISSN/EAN : 978-3-031-94687-5 Langues : Anglais (eng) Catégories : Open Access Publications Tags : Artificial Intelligence (AI) Multiagent Systems Machine Learning Computer Science Business Information Systems, Natural Language Processing (NLP) Index. décimale : 006.3 Intelligence artificielle Résumé : This open access book provides an overview of the current state of financial argument mining and financial text generation, and presents the authors’ thoughts on the blueprint for NLP in finance in the agent AI era. Financial documents contain numerous causal inferences and subjective opinions. In a previous book, “From Opinion Mining to Financial Argument Mining” (Springer, 2021), the first author discussed understanding financial documents in a fine-grained manner, particularly those containing opinions. The book highlighted several future directions, such as financial argument mining, multimodal opinion understanding, and analysis generation, and anticipated a lengthy journey for these topics. However, since 2022, ChatGPT and large language models (LLMs) have shown promising advancements, motivating the authors to write this second book on the topic of financial Natural Language Processing (NLP). Agent-based AI systems have been widely discussed since the advent of LLMs. This book aims to equip researchers and practitioners with the latest methodologies, concepts, and frameworks for developing, deploying, and evaluating AI agents with capabilities in multimodal understanding, decision-making, and interaction. It places a special emphasis on human-centered decision-making and multi-agent cooperation in financial applications. The book surveys the current landscape and discuss future research and development directions.
En ligne : https://doi.org/10.1007/978-3-031-94687-5 Agent AI for Finance : From Financial Argument Mining to Agent-Based Modeling [document électronique] / Chung Chi Chen, Auteur ; Hiroya Takamura, Auteur . - Berlin (Germany) : Springer Nature Limited, 2025 . - 83 p. : ill., couv. ill.
ISBN : 978-3-031-94687-5
Langues : Anglais (eng)
Catégories : Open Access Publications Tags : Artificial Intelligence (AI) Multiagent Systems Machine Learning Computer Science Business Information Systems, Natural Language Processing (NLP) Index. décimale : 006.3 Intelligence artificielle Résumé : This open access book provides an overview of the current state of financial argument mining and financial text generation, and presents the authors’ thoughts on the blueprint for NLP in finance in the agent AI era. Financial documents contain numerous causal inferences and subjective opinions. In a previous book, “From Opinion Mining to Financial Argument Mining” (Springer, 2021), the first author discussed understanding financial documents in a fine-grained manner, particularly those containing opinions. The book highlighted several future directions, such as financial argument mining, multimodal opinion understanding, and analysis generation, and anticipated a lengthy journey for these topics. However, since 2022, ChatGPT and large language models (LLMs) have shown promising advancements, motivating the authors to write this second book on the topic of financial Natural Language Processing (NLP). Agent-based AI systems have been widely discussed since the advent of LLMs. This book aims to equip researchers and practitioners with the latest methodologies, concepts, and frameworks for developing, deploying, and evaluating AI agents with capabilities in multimodal understanding, decision-making, and interaction. It places a special emphasis on human-centered decision-making and multi-agent cooperation in financial applications. The book surveys the current landscape and discuss future research and development directions.
En ligne : https://doi.org/10.1007/978-3-031-94687-5 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 9783031946875 006.3 CHI E-Book En Ligne Informatique, Savoir & systèmes Disponible
Titre : AI Agents for Everyone : simplify AI, amplify results Type de document : texte imprimé Auteurs : Fouad Bousetouane, Auteur Importance : 172 p. Présentation : ill. en coul., couv. ill. en coul. Format : 21 cm ISBN/ISSN/EAN : 979-82819-95696-- Langues : Français (fre) Catégories : Livres Tags : intelligence artificielle building AI agents Index. décimale : 006.3 Intelligence artificielle Résumé : Artificial intelligence has evolved beyond generating text or answering questions—it now enables the creation of intelligent agents capable of reasoning, planning, and acting autonomously. This handbook is designed as a clear, practical guide, making AI agent design and deployment accessible to everyone without unnecessary complexity.
AI Agents for Everyone is your comprehensive handbook for understanding, designing, and building AI agents. It provides a solid foundation for developing agent-based AI systems and leveraging them across real-world scenarios. The book begins by exploring the evolution from traditional AI models to intelligent agents, clarifying the critical differences between passive content generation and autonomous task execution.
Readers will learn how to design and build AI agents step by step, gaining insights into their core components—reasoning, planning, memory, and autonomy. Through practical examples and clear explanations, this handbook covers the essential aspects of AI agents, including:
Understanding the evolution of AI from static models to autonomous agents
Differentiating between traditional chatbots and intelligent AI agents
Mastering a structured approach to designing and building AI agents
Applying advanced prompting techniques to guide agent behavior effectively
Exploring real-world applications across industries such as healthcare, education, finance, and customer service
Grasping the critical building blocks of AI agents, including memory management, tool use, and multi-agent collaboration
Following best practices for ethical and responsible deployment of AI systems
Written for business professionals, engineers, innovators, and curious learners, this handbook requires no prior experience in AI, programming, or machine learning—just curiosity and a readiness to engage with the future.
Throughout the book, Dr. Fouad Bousetouane, a distinguished AI leader, shares insights drawn from real-world applications, offering readers not only foundational knowledge but also a forward-looking perspective on the future of AI agents.
Whether you are seeking to integrate AI agents into business processes, enhance your technical skill set, or simply understand the forces shaping tomorrow’s intelligent systems, this guide provides the clarity, structure, and practical advice you need.En ligne : https://www.amazon.fr/Agents-Everyone-Practical-Understanding-Complexity/dp/B0F7 [...] AI Agents for Everyone : simplify AI, amplify results [texte imprimé] / Fouad Bousetouane, Auteur . - [s.d.] . - 172 p. : ill. en coul., couv. ill. en coul. ; 21 cm.
ISBN : 979-82819-95696--
Langues : Français (fre)
Catégories : Livres Tags : intelligence artificielle building AI agents Index. décimale : 006.3 Intelligence artificielle Résumé : Artificial intelligence has evolved beyond generating text or answering questions—it now enables the creation of intelligent agents capable of reasoning, planning, and acting autonomously. This handbook is designed as a clear, practical guide, making AI agent design and deployment accessible to everyone without unnecessary complexity.
AI Agents for Everyone is your comprehensive handbook for understanding, designing, and building AI agents. It provides a solid foundation for developing agent-based AI systems and leveraging them across real-world scenarios. The book begins by exploring the evolution from traditional AI models to intelligent agents, clarifying the critical differences between passive content generation and autonomous task execution.
Readers will learn how to design and build AI agents step by step, gaining insights into their core components—reasoning, planning, memory, and autonomy. Through practical examples and clear explanations, this handbook covers the essential aspects of AI agents, including:
Understanding the evolution of AI from static models to autonomous agents
Differentiating between traditional chatbots and intelligent AI agents
Mastering a structured approach to designing and building AI agents
Applying advanced prompting techniques to guide agent behavior effectively
Exploring real-world applications across industries such as healthcare, education, finance, and customer service
Grasping the critical building blocks of AI agents, including memory management, tool use, and multi-agent collaboration
Following best practices for ethical and responsible deployment of AI systems
Written for business professionals, engineers, innovators, and curious learners, this handbook requires no prior experience in AI, programming, or machine learning—just curiosity and a readiness to engage with the future.
Throughout the book, Dr. Fouad Bousetouane, a distinguished AI leader, shares insights drawn from real-world applications, offering readers not only foundational knowledge but also a forward-looking perspective on the future of AI agents.
Whether you are seeking to integrate AI agents into business processes, enhance your technical skill set, or simply understand the forces shaping tomorrow’s intelligent systems, this guide provides the clarity, structure, and practical advice you need.En ligne : https://www.amazon.fr/Agents-Everyone-Practical-Understanding-Complexity/dp/B0F7 [...] Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité C1-264/25 006.3 BOU C1 Livre 1er Cycle.(Salle 2ème Étage) Informatique, Savoir & systèmes Exclu du prêt
Titre : AI, Data, and Digitalization : First International Symposium, SAIDD 2023, Sogndal, Norway, May 9–10, 2023, Revised Selected Papers Type de document : document électronique Auteurs : Rajendra Akerkar, Auteur Editeur : Cham [Switzerland] : the registered company Springer Nature Année de publication : 2024 Importance : 203 p. Présentation : ill. ISBN/ISSN/EAN : 978-3-031-53770-7 Langues : Anglais (eng) Catégories : Open Access Publications Tags : Artificial Intelligence Data Digitalization Societal Impact Application Domains Index. décimale : 006.3 Intelligence artificielle Résumé : This open access book constitutes the revised selected papers of the First International Symposium on AI, Data and Digitalization, SAIDD 2023, held in Sogndal, Norway, during May 9–10, 2023. The 13 full papers included in this volume were carefully reviewed and selected from 42 submissions. The papers deal with the impact of data and AI on the digital revolution and their contribution to solving societal challenges En ligne : https://doi.org/10.1007/978-3-031-53770-7 AI, Data, and Digitalization : First International Symposium, SAIDD 2023, Sogndal, Norway, May 9–10, 2023, Revised Selected Papers [document électronique] / Rajendra Akerkar, Auteur . - Cham (Switzerland) : the registered company Springer Nature, 2024 . - 203 p. : ill.
ISBN : 978-3-031-53770-7
Langues : Anglais (eng)
Catégories : Open Access Publications Tags : Artificial Intelligence Data Digitalization Societal Impact Application Domains Index. décimale : 006.3 Intelligence artificielle Résumé : This open access book constitutes the revised selected papers of the First International Symposium on AI, Data and Digitalization, SAIDD 2023, held in Sogndal, Norway, during May 9–10, 2023. The 13 full papers included in this volume were carefully reviewed and selected from 42 submissions. The papers deal with the impact of data and AI on the digital revolution and their contribution to solving societal challenges En ligne : https://doi.org/10.1007/978-3-031-53770-7 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 9783031537707 006.3 AKE E-Book En Ligne Informatique, Savoir & systèmes Disponible
Titre : Artificial Intelligence and Cognitive Science : 30th Irish Conference, AICS 2022, Munster, Ireland, December 8–9, 2022, Revised Selected Papers Type de document : document électronique Auteurs : Luca Longo, Auteur ; Ruairi O’Reilly, Auteur Editeur : Cham [Switzerland] : Springer International Publishing Année de publication : 2023 Importance : 540 p. Présentation : ill. ISBN/ISSN/EAN : 978-3-031-26438-2 Langues : Anglais (eng) Catégories : Open Access Publications Tags : Artificial Intelligence Computer Imaging Vision Pattern Recognition Graphics Computer System Implementation Computer Applications, Information Systems Communication Service, Networks Index. décimale : 006.3 Intelligence artificielle Résumé : This open access book constitutes selected papers presented during the 30th Irish Conference on Artificial Intelligence and Cognitive Science, held in Munster, Ireland, in December 2022. The 41 presented papers were thoroughly reviewed and selected from the 102 submissions. They are organized in topical sections on machine learning, deep learning and applications; responsible and trustworthy artificial intelligence; natural language processing and recommender systems; knowledge representation, reasoning, optimisation and intelligent applications En ligne : https://doi.org/10.1007/978-3-031-26438-2 Artificial Intelligence and Cognitive Science : 30th Irish Conference, AICS 2022, Munster, Ireland, December 8–9, 2022, Revised Selected Papers [document électronique] / Luca Longo, Auteur ; Ruairi O’Reilly, Auteur . - Cham (Switzerland) : Springer International Publishing, 2023 . - 540 p. : ill.
ISBN : 978-3-031-26438-2
Langues : Anglais (eng)
Catégories : Open Access Publications Tags : Artificial Intelligence Computer Imaging Vision Pattern Recognition Graphics Computer System Implementation Computer Applications, Information Systems Communication Service, Networks Index. décimale : 006.3 Intelligence artificielle Résumé : This open access book constitutes selected papers presented during the 30th Irish Conference on Artificial Intelligence and Cognitive Science, held in Munster, Ireland, in December 2022. The 41 presented papers were thoroughly reviewed and selected from the 102 submissions. They are organized in topical sections on machine learning, deep learning and applications; responsible and trustworthy artificial intelligence; natural language processing and recommender systems; knowledge representation, reasoning, optimisation and intelligent applications En ligne : https://doi.org/10.1007/978-3-031-26438-2 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 9783031264382 006.3 LON E-Book En Ligne Informatique, Savoir & systèmes Disponible Artificial intelligence-based smart power systems
Titre : Artificial intelligence-based smart power systems Type de document : texte imprimé Auteurs : Padmanaban Sanjeevikumar, Auteur ; Sivaraman Palanisamy, Auteur ; Sharmeela Chenniappan, Auteur Editeur : Hoboken : Wiley Année de publication : 2023 Importance : 378 p. Format : 26 cm ISBN/ISSN/EAN : 978-1-119-89396-7 Langues : Anglais (eng) Catégories : Livres Tags : Computer Science Artificial Intelligence Index. décimale : 006.3 Intelligence artificielle Résumé : Artificial Intelligence-based Smart Power Systems presents advanced technologies used in various aspects of smart power systems, especially grid-connected and industrial evolution. It covers many new topics such as distribution phasor measurement units, blockchain technologies for smart power systems, the application of deep learning and reinforced learning, and artificial intelligence techniques. The text also explores the potential consequences of artificial intelligence and advanced technologies in smart power systems in the forthcoming years. To enhance and reinforce learning, the editors include many learning resources throughout the text, including MATLAB, practical examples, and case studies. Artificial Intelligence-based Smart Power Systems includes specific information on topics such as: - Modeling and analysis of smart power systems, covering steady state analysis, dynamic analysis, voltage stability, and more
- Recent advancement in power electronics for smart power systems, covering power electronic converters for renewable energy sources, electric vehicles, and HVDC/FACTs - Distribution Phasor Measurement Units (PMU) in smart power systems, covering the need for PMU in distribution and automation of system reconfigurations - Power and energy management systems. Engineering colleges and universities, along with industry research centers, can use the in-depth subject coverage and the extensive supplementary learning resources found in Artificial Intelligence-based Smart Power Systems to gain a holistic understanding of the subject and be able to harness that knowledge within a myriad of practical applications.Artificial intelligence-based smart power systems [texte imprimé] / Padmanaban Sanjeevikumar, Auteur ; Sivaraman Palanisamy, Auteur ; Sharmeela Chenniappan, Auteur . - Hoboken : Wiley, 2023 . - 378 p. ; 26 cm.
ISBN : 978-1-119-89396-7
Langues : Anglais (eng)
Catégories : Livres Tags : Computer Science Artificial Intelligence Index. décimale : 006.3 Intelligence artificielle Résumé : Artificial Intelligence-based Smart Power Systems presents advanced technologies used in various aspects of smart power systems, especially grid-connected and industrial evolution. It covers many new topics such as distribution phasor measurement units, blockchain technologies for smart power systems, the application of deep learning and reinforced learning, and artificial intelligence techniques. The text also explores the potential consequences of artificial intelligence and advanced technologies in smart power systems in the forthcoming years. To enhance and reinforce learning, the editors include many learning resources throughout the text, including MATLAB, practical examples, and case studies. Artificial Intelligence-based Smart Power Systems includes specific information on topics such as: - Modeling and analysis of smart power systems, covering steady state analysis, dynamic analysis, voltage stability, and more
- Recent advancement in power electronics for smart power systems, covering power electronic converters for renewable energy sources, electric vehicles, and HVDC/FACTs - Distribution Phasor Measurement Units (PMU) in smart power systems, covering the need for PMU in distribution and automation of system reconfigurations - Power and energy management systems. Engineering colleges and universities, along with industry research centers, can use the in-depth subject coverage and the extensive supplementary learning resources found in Artificial Intelligence-based Smart Power Systems to gain a holistic understanding of the subject and be able to harness that knowledge within a myriad of practical applications.Réservation
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Code-barres Cote Support Localisation Section Disponibilité C1-022/23 006.3 ART C1 Livre 1er Cycle.(Salle 2ème Étage) Informatique, Savoir & systèmes Exclu du prêt C2-023/23 006.3 ART C2 Livre 1er Cycle.(Salle 2ème Étage) Informatique, Savoir & systèmes Disponible PermalinkPermalinkPermalink
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