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  • BSZ  (4)
  • 2010-2014  (4)
  • Dordrecht : Springer  (4)
  • Artificial intelligence
  • Philosophy and science.
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  • 1
    Online Resource
    Online Resource
    Dordrecht : Springer
    ISBN: 9789400745995 , 128363385X , 9781283633857
    Language: English
    Pages: Online-Ressource (X, 255 p. 102 illus., 12 illus. in color, digital)
    Series Statement: Synthese Library, Studies in Epistemology, Logic, Methodology, and Philosophy of Science 357
    Series Statement: SpringerLink
    Series Statement: Bücher
    Parallel Title: Buchausg. u.d.T. Betz, Gregor Debate dynamics: how controversy improves our beliefs
    RVK:
    Keywords: Philosophy (General) ; Genetic epistemology ; Logic ; Science Philosophy ; Artificial intelligence ; Philosophy ; Philosophy (General) ; Genetic epistemology ; Logic ; Science Philosophy ; Artificial intelligence ; Argumentationstheorie ; Debatte
    Abstract: Is critical argumentation an effective way to overcome disagreement? And does the exchange of arguments bring opponents in a controversy closer to the truth? This study provides a new perspective on these pivotal questions. By means of multi-agent simulations, it investigates the truth and consensus-conduciveness of controversial debates. The book brings together research in formal epistemology and argumentation theory. Aside from its consequences for discursive practice, the work may have important implications for philosophy of science and the way we construe scientific rationality as well.
    Description / Table of Contents: Debate Dynamics: How Controversy Improves Our Beliefs; Acknowledgements; Contents; Chapter 1: General Introduction; 1.1 The Aims of Argumentation; 1.2 An Example of a Controversial Argumentation; 1.3 Modeling Controversial Debate; 1.4 Results Pertaining to Consensus-Conduciveness; 1.5 Results Pertaining to Truth-Conduciveness; 1.6 Objections and Caveats; 1.7 Putting the Approach in Perspective; Chapter 2: An Introduction to the Theory of Dialectical Structures; 2.1 Fundamental Concepts; 2.2 Degrees of Justification; 2.3 The Space of Coherent Positions; 2.4 Normalized Closeness Centrality
    Description / Table of Contents: 2.5 Inferential Density2.6 The General Design of the Simulations; Part I: Why Do We Agree? On the Consensus-Conduciveness of Controversial Argumentation; Chapter 3: Introduction to Part I; 3.1 Outline of Part I; 3.2 Main Results and Their Justification; Chapter 4: The Consensual Dynamics of Simple Random Debates; 4.1 Setup; 4.2 Results; 4.3 Discussion; 4.4 Results, Continued; 4.5 Discussion, Continued; Chapter 5: The Consensual Dynamics of Random Debates with Explicit Background Knowledge; 5.1 Setup; 5.2 Results; 5.3 Discussion
    Description / Table of Contents: Chapter 6: Comparing the Consensual Dynamics of Four Proponent-Specific Argumentation Strategies in Dualistic Debates6.1 Setup; 6.2 Results; 6.3 Discussion; Chapter 7: The Consensual Dynamics of Argumentation Strategies in Many-Proponent Debates; 7.1 Setup; 7.2 Results; 7.3 Discussion; Chapter 8: The Consensual Dynamics of Debates with Core Updating; 8.1 Setup; 8.2 Results; 8.3 Discussion; Chapter 9: The Consensual Dynamics of Debates with Core Argumentation; 9.1 Setup; 9.2 Results; 9.3 Discussion; Part II: How Do We Know? On the Truth-Conduciveness of Controversial Argumentation
    Description / Table of Contents: Chapter 10: Introduction to Part II10.1 Outline of Part II; 10.2 Main Results and Their Justification; Chapter 11: The Veritistic Dynamics of Simple Random Debates; 11.1 Setup; 11.2 Results; 11.2.1 Truth's Attraction: How Rapidly Does the Proponents' Verisimilitude Increase?; 11.2.2 The Verisimilitude of Consensus Positions: Is Mutual Agreement a Good Indicator of Having Reached the Truth?; 11.2.3 The Verisimilitude of Stable Positions: Are Proponent Positions Which Remain Relatively Stable Closer to the Truth?; 11.3 Discussion
    Description / Table of Contents: Chapter 12: The Veritistic Dynamics of Random Debates with Explicit Background Knowledge12.1 Setup; 12.2 Results; 12.3 Discussion; Chapter 13: Comparing the Veritistic Dynamics of Four Proponent-Specific Argumentation Strategies in Dualistic Debates; 13.1 Setup; 13.2 Results; 13.3 Discussion; Chapter 14: The Veritistic Dynamics of Argumentation Strategies in Many-Proponent Debates; 14.1 Setup; 14.2 Results; 14.2.1 Truth's Attraction: How Rapidly Does the Proponents' Verisimilitude Increase?
    Description / Table of Contents: 14.2.2 The Verisimilitude of Consensus Positions: Is Mutual Agreement a Good Indicator of Having Reached the Truth?
    Note: Description based upon print version of record
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  • 2
    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
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  • 3
    Online Resource
    Online Resource
    Dordrecht : Springer
    ISBN: 9789400765641
    Language: English
    Pages: Online-Ressource (XXV, 200 p. 22 illus, digital)
    Series Statement: Law, Governance and Technology Series 10
    Series Statement: SpringerLink
    Series Statement: Bücher
    Parallel Title: Druckausg. Pagallo, Ugo The laws of robots
    RVK:
    RVK:
    Keywords: Ethics ; Artificial intelligence ; Computers Law and legislation ; Civil law ; Criminal Law ; Law ; Law ; Ethics ; Artificial intelligence ; Computers Law and legislation ; Civil law ; Criminal Law ; Computer ; Privatrecht ; Strafrecht ; Roboter ; Recht
    Abstract: This book explores how the design, construction, and use of robotics technology may affect today’s legal systems and, more particularly, matters of responsibility and agency in criminal law, contractual obligations, and torts. By distinguishing between the behaviour of robots as tools of human interaction, and robots as proper agents in the legal arena, jurists will have to address a new generation of “hard cases.” General disagreement may concern immunity in criminal law (e.g., the employment of robot soldiers in battle), personal accountability for certain robots in contracts (e.g., robo-traders), much as clauses of strict liability and negligence-based responsibility in extra-contractual obligations (e.g., service robots in tort law). Since robots are here to stay, the aim of the law should be to wisely govern our mutual relationships
    Description / Table of Contents: Preface; Acknowledgments; Contents; List of Figures; List of Tables; Chapter 1: Introduction; Chapter 2: On Law, Philosophy and Technology; 2.1 The Philosophy of Law and Robots; 2.1.1 The Law in Literature; 2.1.2 Sources, Concepts, and Legal Reasoning; 2.1.3 The Levels of Abstraction; 2.2 The Principle of Responsibility; 2.2.1 Immunity; 2.2.2 Strict Liability; 2.2.3 Personal Fault; 2.2.4 Responsibility for a Robot; 2.3 Agency and Accountability of Artificial Agents; 2.3.1 A Moral Threshold; 2.3.2 Agents Before the Law; 2.4 Who Pays?; Chapter 3: Crimes; 3.1 Sci-Fi Scenarios
    Description / Table of Contents: 3.2 The States of Mind and Criminal Acts3.3 Robots and Just Wars; 3.3.1 What Robots Might Change; 3.3.2 Just Causes of War; 3.3.3 Conditions of Just Wars; 3.3.4 Proportionality; 3.4 The Phenomenology of Picciotto Roboto; 3.4.1 Picciotto by Design; 3.4.2 Crimes of Intent; 3.4.3 Crimes of Negligence; 3.5 A Failure of Causation?; Chapter 4: Contracts; 4.1 Pacts, Clauses and Risk; 4.2 The Artificial Doctor; 4.2.1 Parties, Counterparties and Third Parties; 4.2.2 Producers, Users and Patients; 4.3 Robo-Traders; 4.3.1 Artificial Greediness; 4.3.2 The Robot and the Principal
    Description / Table of Contents: 4.3.3 A New Agent in Town4.4 Modern Robots, Ancient Slaves; 4.4.1 The Digital Peculium; 4.5 The UV Revolution; 4.5.1 AI Chauffeurs and Intelligent Car Sharing; 4.5.2 Unjust Damages; Chapter 5: Torts; 5.1 Bad Intentions; 5.2 Children, Pets and Negligence; 5.2.1 American Parents; 5.2.2 Italian Parents; 5.3 AI Employees and Strict Liability Rules; 5.3.1 The Digital Peculium Revisited; 5.4 Burdens of Proof; 5.4.1 The Precautionary Principle; 5.4.2 Robotic Openness; Chapter 6: Law as Meta-technology; 6.1 Robots as Legal Persons; 6.1.1 The Front of Robotic Liberation; 6.1.2 The Pragmatic Stance
    Description / Table of Contents: 6.2 Robots as Strict Agents6.3 Sources of Good and Evil; 6.4 Levels of Complexity; 6.4.1 Technologies of Social Control; 6.4.2 The Political Requirement; Conclusions; References
    Note: Includes bibliographical references
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  • 4
    ISBN: 9789400744387
    Language: English
    Pages: Online-Ressource (VIII, 375 p. 31 illus, digital)
    Series Statement: Logic, Epistemology, and the Unity of Science 26
    Series Statement: SpringerLink
    Series Statement: Bücher
    Parallel Title: Buchausg. u.d.T. Tanaka, Kōji, 1965 - Paraconsistency
    RVK:
    Keywords: Philosophy (General) ; Logic ; Linguistics Philosophy ; Computer science ; Artificial intelligence ; Philosophy ; Philosophy (General) ; Logic ; Linguistics Philosophy ; Computer science ; Artificial intelligence ; Aufsatzsammlung ; Parakonsistente Logik
    Abstract: A logic is called 'paraconsistent' if it rejects the rule called 'ex contradictione quodlibet', according to which any conclusion follows from inconsistent premises. While logicians have proposed many technically developed paraconsistent logical systems and contemporary philosophers like Graham Priest have advanced the view that some contradictions can be true, and advocated a paraconsistent logic to deal with them, until recent times these systems have been little understood by philosophers. This book presents a comprehensive overview on paraconsistent logical systems to change this situation. The book includes almost every major author currently working in the field. The papers are on the cutting edge of the literature some of which discuss current debates and others present important new ideas. The editors have avoided papers about technical details of paraconsistent logic, but instead concentrated upon works that discuss more "big picture" ideas. Different treatments of paradoxes takes centre stage in many of the papers, but also there are several papers on how to interpret paraconistent logic and some on how it can be applied to philosophy of mathematics, the philosophy of language, and metaphysics
    Abstract: A logic is called 'paraconsistent' if it rejects the rule called 'ex contradictione quodlibet', according to which any conclusion follows from inconsistent premises. While logicians have proposed many technically developed paraconsistent logical systems and contemporary philosophers like Graham Priest have advanced the view that some contradictions can be true, and advocated a paraconsistent logic to deal with them, until recent times these systems have been little understood by philosophers. This book presents a comprehensive overview on paraconsistent logical systems to change this situation. The book includes almost every major author currently working in the field. The papers are on the cutting edge of the literature some of which discuss current debates and others present important new ideas. The editors have avoided papers about technical details of paraconsistent logic, but instead concentrated upon works that discuss more 'big picture' ideas. Different treatments of paradoxes takes centre stage in many of the papers, but also there are several papers on how to interpret paraconistent logic and some on how it can be applied to philosophy of mathematics, the philosophy of language, and metaphysics.
    Note: Includes bibliographical references and index , Part 2. Applications ; An Approach to Human-Level Commonsense Reasoning , Paraconsistency: Introduction , Distribution in the Logic of Meaning Containment and in Quantum Mechanics , Wittgenstein on Incompleteness Makes Paraconsistent Sense , Pluralism and "Bad" Mathematical Theories: Challenging our Prejudices , Arithmetic Starred , Notes on Inconsistent Set Theory , Sorting out the Sorites , Are the Sorites and Liar Paradox of a Kind? , Vague Inclosures , Part 1. Logic ; Making Sense of Paraconsistent Logic: The Nature of Logic, Classical Logic and Paraconsistent Logic , On Discourses Addressed by Infidel Logicians , Information, Negation, and Paraconsistency , Noisy vs. Merely Equivocal Logics , Assertion, Denial and Non-classical Theories , New Arguments for Adaptive Logics as Unifying Frame for the Defeasible Handling of Inconsistency , Consequence as Preservation: Some Refinements , On Modal Logics Defining Jaśkowski's D2-Consequence , FDE: A Logic of Clutters , A Paraconsistent and Substructural Conditional Logic
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