New Book: Model-Based Reasoning, Magnani and Nersessian, eds.

[Lorenzo Magnani]

Title: Otsikko/TitleSpecial issue of the journal Philosophica "Abduction and scientific discovery" (forthcoming):

Model-Based Reasoning Science, Technology, Values http://www.wkap.nl/prod/b/0-306-47244-9   edited by Lorenzo Magnani University of Pavia, Pavia, Italy and Nancy J. Nersessian Georgia Institute of Technology, Atlanta, Georgia, USA     Kluwer Academic/Plenum Publishers  Hardbound, ISBN 0-306-47244-9     April 2002 , 418 pp. EUR 149.00 /  USD 130.00 /  GBP 91.00                                       The study of diagnostic, visual, spatial, analogical, and temporal reasoning has demonstrated that there                                   are many ways of performing intelligent and creative reasoning that cannot be described with the help of                                   traditional notions of reasoning, such as classical logic. Understanding the contribution of modeling                                   practices to discovery and conceptual change in science requires expanding scientific reasoning to                                   include complex forms of creative reasoning that are not always successful and can lead to incorrect                                   solutions. The study of these heuristic ways of reasoning is situated at the crossroads of philosophy,                                   artificial intelligence, cognitive psychology, and logic; that is, at the heart of cognitive science.                                   There are several key ingredients common to the various forms of model-based reasoning considered in                                   this book. The term `model' comprises both internal and external representations. The models are                                   intended as interpretations of target physical systems, processes, phenomena, or situations. The                                   models are retrieved or constructed on the basis of potentially satisfying salient constraints of the target                                   domain. Moreover, in the modeling process, various forms of abstraction are used. Evaluation and                                   adaptation take place in the light of structural, causal, and/or functional constraints. Model simulation                                   can be used to produce new states and enable evaluation of behaviors and other factors.         L. MAGNANI AND N.J. NERSESSIAN, EDS.,   Model-Based Reasoning: Science, Technology, Values   KLUWER ACADEMIC/PLENUM PUBLISHER, NEWYORK, 2002 TableofContents   Metaphor-Based Values in Scientific Models Mark Johnson Analogy in Scientific Discovery: The Case of Johannes Kepler Dedre Gentner Model Experiments and Models in Experiments Mary S. Morgan Models, Simulations, and Experiments Francesco Guala Calibration of Models in Experiments Marcel Boumans The Development of Scientific Taxonomies Hanne Andersen Production, Science and Epistemology. An Overview on New      Models and Scenarios Simone Turchetti, Mauro Capocci, Elena Gagliasso Modeling Practices and �Tradition� Elke Kurz-Milcke and Laura Martignon Modelling Data: Analogies in Neural Networks, Simulated             Annealing and Genetic Algorithms Daniela M. Bailer-Jones and Coryn A.L. Bailer-Jones Perceptual Simulation in Analogical Problem Solving David L. Craig, Nancy J. Nersessian, and Richard Catrambone Building Demand Models to Improve Environmental Policy Process Bryan G. Norton Toward a Computational Model of Hypothesis Formation and Model Building in Science Joseph Phillips, Gary Livingston, and Bruce Buchanan Models as Parts of Distributed Cognitive Systems Ronald N. Giere Conceptual Models, Inquiry and the Problem of Deriving Normative Claims from a Naturalistic Base Andrew Ward Dynamic Imagery: A Computational Model of Motion and Visual Analogy David Croft and Paul Thagard Model-Based Reasoning and Similarity in the World Qiming Yu Epistemic Artifacts: Michael Faraday�s Search for the Optical        Effects of Gold Ryan D. Tweney Epistemic Mediators and Model-Based Discovery in Science Lorenzo Magnani Deterministic Models and the �Unimportance of the Inevitable� Claudio Pizzi A Cognitive Development Approach to Model-Bases Reasoning Stella Vosniadou Modeling Core Knowledge and Practices in a Computational          Approach to Innovation Process Stefania Bandini and Sara Manzoni Author Index Subject Index