This volume is based on the papers that were presented at the
International Conference Model-Based Reasoning: Scientific
Discovery, Technological Innovation, Values' (MBR'01), held at the
Collegio Ghislieri, University of Pavia, Pavia, Italy, in May 2001.
The previous volume Model-Based Reasoning in Scientific Discovery,
edited by L. Magnani, N.J. Nersessian, and P. Thagard (Kluwer
Academic/Plenum Publishers, New York, 1999; Chinese edition, China
Science and Technology Press, Beijing, 2000), was based on the
papers presented at the first model-based reasoning' international
conference, held at the same venue in December 1998.
The presentations given at the Conference explore how scientific
thinking uses models and exploratory reasoning to produce creative
changes in theories and concepts. Some address the problem of
model-based reasoning in ethics, especially pertaining to science
and technology, and stress some aspects of model-based reasoning in
technological innovation.
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 only 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
cognitivescience.
There are several key ingredients common to the various forms of
model-based reasoning. 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 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.
The various contributions of the book are written by
interdisciplinary researchers who are active in the area of
creative reasoning in science and technology, and are logically and
computationally oriented: the most recent results and achievements
about the topics above are illustrated in detail in the papers.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
