Book Contents
Knowledge
engineering has been recognized as the most essential tool for universal
knowledge workers. Recent trend in knowledge engineering has two main
research thrusts. The first thrust is the people-centric focus on how
knowledge is used by people to handle situations such as decision making
and monitoring effectively. The second thrust involves the application of
intelligent inanimate processes.
This volume is a rare collection compiling the latest
state-of-the-art theoretical research and application developments in the
area of knowledge engineering authored by the leading experts in the
field.
Contents
Foreword by
Jim Austin, B
·
Building
knowledge-based intelligent systems by reusing
M.
Taboada, M. Argüello, J. Des, J. Mira, D. Martínez, and R. Marín
·
A
conceptual model for representing narratives
G.P. Zarri
·
Diagnostic knowledge
acquisition based on meta and causal knowledge
Kumbesan Sandrasegaran
·
Neuro-symbolic reasoning
system for modeling complex behaviors
Juan M.
Corchado, Jim Aiken and Nigel Rees
·
Extracting
knowledge from supervised neural networks in image processing
Berend Jan van der Zwaag, Kees Slump, and Lambert
Spaanenburg
·
Learning
and explanation in a context-based representation: application to incident
solving on subway lines
Patrick Brézillon, Jean-Charles Pomerol, and Laurent
Pasquier
·
Knowledge-based
knowledge management
Rosina Weber and Randy Kaplan
·
Cognitive
vs. behavioral modeling: what is the best way to represent a student?
Michael Mayo
·
Knowledge
engineering contributions in traffic road accident analysis
J.M. Mercantini, L. Capus, E. Chouraqui, and N.
Tourigny
·
Intelligent
techniques in e-commerce: a case-based reasoning approach
Zhaohao Sun and
Gavin Finnie
·
Constructing
autonomous distributed systems using CBR-BDI agents
M.G. Bedia and
J.M. Corchado
·
Neuro-fuzzy
knowledge integration applied to toxicity prediction
Ciprian-Daniel Neagu and Giuseppina Gini
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