ISBN:
9789048199112
Sprache:
Englisch
Seiten:
1 online resource (265 pages)
Serie:
Theory and Decision Library A: Ser. v.47
Paralleltitel:
Erscheint auch als
DDC:
302.12
Schlagwort(e):
Hermeneutics..
;
Sociology
;
Electronic books
Kurzfassung:
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. The goal is a unified science.
Kurzfassung:
Intro -- 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 -- 1.3.1 Complex Systems, Attractors, and Trajectories -- 1.3.2 Would-Be-Worlds: The Methods of Simulation -- 1.3.2.1 The Explanation of Complex Phenomena -- 1.3.2.2 The Prediction of the Future of a System -- 1.3.2.3 The Steering of Systems -- 1.3.3 Some Basic Concepts of Communication Theory -- 1.4 Artificial Intelligence (AI) - The Quest for a Homunculus -- 1.4.1 A Little Excursion into Science Fiction -- 1.4.2 How Much Can Eliza Understand? -- 1.4.3 Chinese Rooms, Gödel and Other Principal Arguments -- 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 -- 2.2.1 Consequences for an Understanding AI -- 2.3 The Hermeneutical Circle: The Difficult Basis of Understanding -- 2.3.1 Excursion into Simulated Detective Stories Readers -- 3 Mental Models, the Geometry of Meaning Generation, and of Information-Degrees -- 3.1 The Hermeneutical Necessity of Mental Models -- 3.1.1 A Mathematical Model -- 3.2 The Geometry of Meaning Generation -- 3.2.1 Neural Networks as Meaning Generating Systems -- 3.2.2 First Experimental Series: Training by Back Propagation -- 3.2.3 Second Experimental Series: Optimization by Genetic Algorithms -- 3.2.4 Third Series: Statistical Analysis of Large Samples -- 3.2.5 Fourth Series: The Analysis of Boolean Networks -- 3.2.6 Final Considerations -- 3.3 Information Degree and the Topology of Networks -- 3.3.1 A Final Remark with Respect to AI -- 4 The Understanding of Learning.
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