16.065 new book: Model-based Reasoning

From: Humanist Discussion Group (by way of Willard McCarty (w.mccarty@btinternet.com)
Date: Thu Jun 13 2002 - 02:44:35 EDT

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                    Humanist Discussion Group, Vol. 16, No. 65.
           Centre for Computing in the Humanities, King's College London

             Date: Thu, 13 Jun 2002 07:38:01 +0100
             From: Willard McCarty <w.mccarty@btinternet.com>
             Subject: New Book: Model-Based Reasoning, Magnani and Nersessian, eds.

    [The following was submitted by Lorenzo Magnani <lmagnani@cc.gatech.edu>,
    to whom apologies for the rather different appearance of this important
    announcement. It arrived in multi-coloured format, with considerable other
    formatting effects whose survival through the various machines and
    processes involved in Humanist I could not even guess at. So I did my best
    by hand to reduce the message to plain text. --WM]

    Model-Based Reasoning
    Science, Technology, Values

    edited by
    Lorenzo Magnani
    University of Pavia, Pavia, Italy
    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,

    Table of Contents
    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 Developmnt 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.
    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

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