Humanist Discussion Group, Vol. 16, No. 65.
Centre for Computing in the Humanities, King's College London
<http://www.princeton.edu/~mccarty/humanist/>
<http://www.kcl.ac.uk/humanities/cch/humanist/>
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
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
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.
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
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