Buch, Englisch, 347 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1130 g
A Connectionist Model
Buch, Englisch, 347 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1130 g
Reihe: Lecture Notes in Artificial Intelligence
ISBN: 978-3-540-57647-1
Verlag: Springer Berlin Heidelberg
This book offers a model for concepts and their dynamics. A
basic assumptionis that concepts are composed of specified
components, which are representedby large binary patterns
whose psychological meaning is governed by the interaction
between conceptual modules and other functional modules. A
recurrent connectionist model is developed in which some
inputs are attracted faster than others by an attractor,
where convergence times can beinterpreted as decision
latencies. The learning rule proposed is extracted from
psychological experiments. The rule has the property that
that whena context becomes more familiar, the associations
between the concepts of the context spontaneously evolve
from loose associations to a more taxonomicorganization.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Sozialwissenschaften Psychologie Allgemeine Psychologie Kognitionspsychologie
Weitere Infos & Material
Semantic and pre-semantic representations.- Demarcation of a module for non-verbal representations.- Feature packages and the representation of function.- The internal structure of categories.- A connectionist model and a proposal for a learning rule.- Prototypes and more general typicality-effects.- The influence of contexts on typicalities.- The basic level of taxonomic organization.- Conceptual Organization and Its Development.- The empirical psychology of concept development.- General discussion.
