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1. |
Record Nr. |
UNINA9910464940003321 |
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Titolo |
Caught at sea : forced labour and trafficking in fisheries |
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Pubbl/distr/stampa |
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Geneva : , : International Labour Office, Sectoral Activities Department, , 2013 |
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ISBN |
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Descrizione fisica |
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1 online resource (100 pages) |
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Soggetti |
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Forced labor |
Human trafficking |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references. |
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2. |
Record Nr. |
UNINA9910821478003321 |
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Autore |
Chan David K. |
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Titolo |
Action reconceptualized : human agency and its sources / / David K. Chan |
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Pubbl/distr/stampa |
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Lanham, Maryland : , : Lexington Books, , 2016 |
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©2016 |
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ISBN |
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Descrizione fisica |
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1 online resource (231 p.) |
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Disciplina |
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Soggetti |
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Act (Philosophy) |
Agent (Philosophy) |
Ethics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Contents; Preface; Introduction; Chapter One: Towards a Theory of Action; Chapter Two: Intention; Chapter Three: Desire; Chapter Four: From Volitions to Tryings; Chapter Five: Problems and Issues in Action Theory; Chapter Six: Rational and Moral Agency; Conclusion; Bibliography; Index |
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Sommario/riassunto |
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In re-examining the concepts of desire, intention, and trying, David K. Chan brings a fresh approach toward resolving many of the problems that have occupied philosophers of action for almost a century. This book not only presents a complete theory of human agency but also, by developing the conceptual tools needed to do moral philosophy, lays the groundwork for formulating an ethics that is rooted in a clear, intuitive, and coherent moral psychology. |
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3. |
Record Nr. |
UNINA9910882888003321 |
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Autore |
Peng Hong |
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Titolo |
Advanced Spiking Neural P Systems : Models and Applications / / by Hong Peng, Jun Wang |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
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ISBN |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (304 pages) |
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Collana |
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Computational Intelligence Methods and Applications, , 2510-1773 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Computer science |
Image processing |
Natural language processing (Computer science) |
Machine learning |
Artificial Intelligence |
Models of Computation |
Theory of Computation |
Image Processing |
Natural Language Processing (NLP) |
Machine Learning |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Chapter 1. Introduction -- Chapter 2. Spiking Neural P Systems and Variants -- Chapter 3. Computational Completeness -- Chapter 4. Fuzzy Spiking Neural P Systems -- Chapter 5.Time Series Forecasting -- Chapter 6. Image Processing -- Chapter 7. Sentiment Analysis -- Chapter 8. Fault Diagnosis. |
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Sommario/riassunto |
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Membrane computing is a class of distributed and parallel computing models inspired by living cells. Spiking neural P systems are neural-like membrane computing models, representing an interdisciplinary field between membrane computing and artificial neural networks, and are considered one of the third-generation neural networks. Models and applications constitute two major research topics in spiking neural P systems. The entire book comprises two parts: models and |
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applications. In the model part, several variants of spiking neural P systems and fuzzy spiking neural P systems are introduced. Subsequently, their computational completeness is discussed, encompassing digital generation/accepting devices, function computing devices, and language generation devices. This discussion is advantageous for researchers in the fields of membrane computing, biologically inspired computing, and theoretical computer science, aiding in understanding the distributed computing model of spiking neural P systems. In the application part, the application of spiking neural P systems in time series prediction, image processing, sentiment analysis, and fault diagnosis is examined. This offers a novel method and model for researchers in artificial intelligence, data mining, image processing, natural language processing, and power systems. Simultaneously, it furnishes engineering and technical personnel in these fields with a powerful, efficient, reliable, and user-friendly set of tools and methods. . |
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