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  • Online Resource  (2)
  • Dordrecht : Springer  (2)
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  • Psychology  (1)
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  • 1
    ISBN: 9789400749146
    Language: English
    Pages: Online-Ressource (XVIII, 516 p. 185 illus, digital)
    Series Statement: SpringerLink
    Series Statement: Bücher
    Parallel Title: Buchausg. u.d.T.
    RVK:
    Keywords: Social sciences ; Artificial intelligence ; Social sciences Methodology ; Social Sciences ; Social sciences ; Artificial intelligence ; Social sciences Methodology
    Abstract: This book provides a thorough summary of the means currently available to the investigators of Artificial Intelligence for making criminal behavior (both individual and collective) foreseeable, and for assisting their investigative capacities. The volume provides chapters on the introduction of artificial intelligence and machine learning suitable for an upper level undergraduate with exposure to mathematics and some programming skill or a graduate course. It also brings the latest research in Artificial Intelligence to life with its chapters on fascinating applications in the area of law enforcement, though much is also being accomplished in the fields of medicine and bioengineering. Individuals with a background in Artificial Intelligence will find the opening chapters to be an excellent refresher but the greatest excitement will likely be the law enforcement examples, for little has been done in that area. The editors have chosen to shine a bright light on law enforcement analytics utilizing artificial neural network technology to encourage other researchers to become involved in this very important and timely field of study.
    Description / Table of Contents: Dedication -- Preface.- Chapter 1. Introduction to Artificial Networks and Law Enforcement Analytics; William J. Tastle -- Chapter 2. Law Enforcement and Artificial Intelligence; Massimo Buscema -- Chapter 3. The General Philosophy of Artificial Adaptive Systems; Massimo Buscema -- Chapter 4. A Brief Introduction to Evolutionary Algorithms and the Genetic Doping Algorithm; M. Buscema, M. Capriotti -- Chapter 5. Artificial Adaptive Systems in Data Visualization: Pro-Active data; Massimo Buscema -- Chapter 6. The Metropolitan Police Service Central Drug Trafficking Database: Evidence of Need; Geoffrey Monaghan and Stefano Terzi -- Chapter 7. Supervised Artificial neural Networks: Back Propagation Neural Networks; Massimo Buscema -- Chapter 8. Pre-Processing Tools for Non-Linear Data Sets; Massimo Buscema, Alessandra Mancini and Marco Breda -- Chapter 9. Metaclassifiers; Massimo Buscema, Stefano Terzi -- Chapter 10. Auto Identification of a Drug Seller Utilizing a Specialized Supervised Neural Network; Massimo Buscema and Marco Intraligi -- Chapter 11. Visualization and Clustering of Self-Organizing Maps; Giulia Massini -- Chapter 12. Self-Organizing Maps: Identifying Non-Linear Relationships in Massive Drug Enforcement Databases; Guila Massini -- Chapter 13. Theory of Constraint Satisfaction Neural Networks; Massimo Buscema -- Chapter 14. Application of the Constraint Satisfaction Network; Marco Intraligi and Massimo Buscema -- Chapter 15. Auto-Contractive Maps, h Function and the Maximally regular Graph: A new methodology for data mining; Massimo Buscema -- Chapter 16. Analysis of a Complex Dataset Using the Combined MST and Auto Contractive Map; Giovanni Pieri -- Chapter 17. Auto Contractive Mapsand Minimal Spanning tree: Organization of Complex datasets on criminal behavior to aid in the deduction of network connectivity; Giula Massini and Massimo Buscema -- Chapter 18. Data Mining Using Non-linear Auto Associative Artificial Neural Networks: The Arrestee Dataset; Massimo Buscema -- Chapter 19. Artificial Adaptive System for Parallel Querying of Multiple Databases; Massimo Buscema.-.
    Note: Includes bibliographical references and index
    URL: Volltext  (lizenzpflichtig)
    URL: Cover
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  • 2
    Online Resource
    Online Resource
    Dordrecht : Springer
    ISBN: 9789400744738
    ISSN: 1389-6903
    Language: English
    Pages: Online-Ressource (XII, 406 p. 32 illus, digital)
    Series Statement: Handbooks of Sociology and Social Research
    Series Statement: SpringerLink
    Series Statement: Bücher
    Parallel Title: Druck-Ausg. Franks, David D., 1931 - Handbook of neurosociology
    RVK:
    RVK:
    Keywords: Social sciences ; Neurology ; Psychology, clinical ; Social Sciences ; Social sciences ; Neurology ; Psychology, clinical ; Neurosciences ; Social aspects ; Neurowissenschaften ; Soziologie ; Neurobiologie ; Neurologie ; Soziologie
    Abstract: Until recently, a handbook on neurosociology would have been viewed with skepticism by sociologists, who have long been protective of their disciplinary domain against perceived encroachment by biology. But a number of developments in the last decade or so have made sociologists more receptive to biological factors in sociology and social psychology. Much of this has been encouraged by the coeditors of this volume, David Franks and Jonathan Turner. This new interest has been increased by the explosion of research in neuroscience on brain functioning and brain-environment interaction (via new MRI technologies), with implications for social and psychological functioning. This handbook emphasizes the integration of perspectives within sociology as well as between fields in social neuroscience. For example, Franks represents a social constructionist position following from G.H. Meads voluntaristic theory of the act while Turner is more social structural and positivistic. Furthermore, this handbook not only contains contributions from sociologists, but leading figures from the psychological perspective of social neuroscience.
    Description / Table of Contents: Handbook of Neurosociology; Preface; References; Contents; Contributors; Chapter 1: Introduction: Summaries and Comments; David Franks: A Short History; Brain Activity Measures and Limitations; Jonathan H. Turner: Coming on Board as an Editor; What Does Neurosociology Have to Offer?; References; Part I: Large Issues; Chapter 2: Neural Social Science; Reason Is Neural; Back to the Future; How Brain Circuits Become Meaningful; Reason and Social Science; Reason Itself: Enlightenment Fallacies; The Enlightenment Fallacies; The First Fallacy: Reason Is Conscious
    Description / Table of Contents: The Second Fallacy: One Can Reason Directly About the WorldThe Third Fallacy: Thought Is Disembodied; The Fourth Fallacy: Words Are Defined Directly in Terms of Features of the External World; The Fifth Fallacy: Reason Is Unemotional; The Sixth Fallacy: Reason Is Literal and Logical; The Seventh Fallacy: Categories Are Defined by Necessary and Sufficient Conditions; The Eighth Fallacy: Reason Exists Primarily to Serve Self-interest; The Ninth Fallacy: Conceptual Systems Are Monolithic; The Tenth Fallacy: Words Have Fixed Meanings, and Concepts Have Fixed Logics
    Description / Table of Contents: The Eleventh Fallacy: The Truth Will Set You Free If Enough People Know the Truth About Social Issues, They Will Change Their Attitudes, to Society's Bene fi t; Some Brain Basics; Color; Perception and Action; That's Why There Are Basic-Level Concepts; That's Why Verb Roots Are the Same for First- and Third-Person Experiences; Imagining and Doing Use the Same Brain Circuitry; Neural Computation and Simulation; The Centrality of Metaphor in Social Life; Neural Metaphor; The Narayanan-Johnson-Grady Neural Theory of Metaphor; How Are Neural Circuits Learned?
    Description / Table of Contents: The Feldman Functional Circuitry HypothesisPrimary Metaphors; Narayanan on Spike-Time-Dependent Plasticity; Neuromodulators and "Rewards"; Integrating Multiple Neural Systems; Embodiment Evidence in Social Psychology; Real Social and Political Life; The Conservative Advantage; What Can Progressives and Democrats Do?; Systems Thinking; The Point; CODA; Solving a Social Science Puzzle; References; Chapter 3: Why We Need Neurosociology as Well as Social Neuroscience: Or-Why Role-Taking and Theory of Mind Are Different Concepts; History of the Terms Neurosociology and Social Neuroscience
    Description / Table of Contents: Distinguishing Between the Two Fields Using Role-Taking and ToMSome Ways Role-Taking and Power Can be Explored Experimentally; What Social Neuroscience Can Offer Sociological Research on Role-Taking and Power; Empirically Testing the Role-Taking and Power Hypothesis; Conclusions; References; Chapter 4: Social Cognition and the Problem of Other Minds; Where in the World Are Minds?; The Psychology of Individual Minds; Social Psychology and Social Cognition; What Do Minds Learn to Mind?; Brains and Minds Grow Together; Socialized Brains Remain Social Minds; References
    Description / Table of Contents: Chapter 5: Genetic, Hormonal, and Neural Underpinnings of Human Aggressive Behavior
    Note: Description based upon print version of record
    URL: Volltext  (lizenzpflichtig)
    URL: Cover
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