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Preface; Contents; 1 Introduction: Historical Methodical and Conceptual Frames; 1.1 Unifications of the Sciences; 1.2 The Importance of Structural Mathematics and Computer Models; 1.3 A Short Glossary on Complex Systems, Simulations, and Communication Theory; 1.4 Artificial Intelligence (AI) - The Quest for a Homunculus; 2 The Operation Called "Verstehen": Considerations About Formal Systematizations of Understanding; 2.1 Understanding Versus Explanation; 2.2 Rules and Intentions A Systematic of Interpreting; 2.3 The Hermeneutical Circle: The Difficult Basis of Understanding
3 Mental Models, the Geometry of Meaning Generation, and of Information-Degrees3.1 The Hermeneutical Necessity of Mental Models; 3.2 The Geometry of Meaning Generation; 3.3 Information Degree and the Topology of Networks; 4 The Understanding of Learning; 4.1 Methodological Preliminary Remarks and a General Rule Schema; 4.2 Types of Learning and the According Enforcing Rules; 4.3 Rule Extracting or Learning from Examples; 5 The Human Factor: Understanding Humans by Artificial Systems; 5.1 The Origin of Restricted Perception; 5.2 Understanding Readers of Detective Stories
5.3 The Reconstruction of Human Discourses5.4 Understanding in Communicative Processes by Mental Models; 6 Conclusions: AI and a Unified Science; References; Index;
1. INTRODUCTION: HISTORICAL, METHODICAL, AND CONCEPTUAL FRAMES -- 2. THE OPERATION CALLED “VERSTEHEN”: CONSIDERATIONS ABOUT FORMAL -- SYSTEMATIZATIONS OF UNDERSTANDING -- 3. MENTAL MODELS, THE GEOMETRY OF MEANING GENERATION AND OF INFORMATION -- 4. THE UNDERSTANDING OF LEARNING -- 5. THE HUMAN FACTOR: UNDERSTANDING HUMANS BY ARTIFICIAL SYSTEMS -- 6. CONCLUSIONS: AI AND A UNIFIED SCIENCE -- REFERENCES
The operation of understanding is the fundamental methodical procedure of hermeneutics and is usually seen as contradiction to scientific explanation by the usage of mathematical models. Yet understanding is the basic way in which humans organize their everyday practice, namely by understanding other people and social situations. In this book the authors demonstrate how an integration of hermeneutical understanding and scientific explanation can be done via the construction of suited geometrical models with neural networks of processes of understanding. In this sense the authors develop some kind of mathematical hermeneutics. Connecting links for the integration of the two methodical poles are the developments of particular models of Artificial Intelligence (AI), which are able to perform certain tasks of understanding
Social Understanding : On Hermeneutics, Geometrical Models and Artificial Intelligence / Klüver, Jürgen. Dordrecht : Springer Science+Business Media B.V, 2011
