College Publications logo   College Publications title  
View Basket
Homepage Contact page
   
 
AiML
Algorithmics
Cadernos de Lógica e Computação
Cadernos de Lógica e Filosofia
Cahiers de Logique et d'Epistemologie
Communication, Mind and Language
Computing
Cuadernos de logica, epistemologia y lenguaje
Dialogues
Economics
Encyclopaedia of Logic
Filosofia
Handbooks
IfColog series in Computational Logic
Journals
Logic PhDs
Logic, Methodology and Philosophy of Science
The Logica Yearbook
Neural Computing and Artificial Intelligence
Philosophy
Research
The SILFS series
Studies in Logic
History of Logic
Logic and cognitive systems
Mathematical logic and foundations
Studies in Logic and Argumentation
Studies in Talmudic Logic
Systems
Texts in Mathematics
Tributes
Other
Digital Downloads
Information for authors
About us
Search for Books
 



Studies in Logic


Back

MBR04: Model Based Reasoning in Science and Engineering

Edited by Lorenzo Magnani

The study of creative, 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 cognitive science. 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.

Several of the papers in this volume aim at increasing epistemological knowledge about the role of model-based reasoning in various scientific tasks, other papers address fundamental cognitive issues related to model-based reasoning and illustrate novel analyses of cognitive “logical” models of model–based reasoning and of the interplay abduction/model-based reasoning/creative inferences.

The volume is based on the papers that were presented at the International Conference Model-Based Reasoning in Science and Engineering: Abduction, Visualization, Simulation (MBR’04), held at the Collegio Ghislieri, University of Pavia, Pavia, Italy, in December 2004.

ISBN 1-904987-23-0

Buy from Amazon: UK   US   






© 2005–2014 College Publications / VFH webmaster