Rethinking eliminative connectionism
GF Marcus - Cognitive psychology, 1998 - Elsevier
Humans routinely generalize universal relationships to unfamiliar instances. If we are told “if
glork then frum,” and “glork,” we can infer “frum”; any name that serves as the subject of a …
glork then frum,” and “glork,” we can infer “frum”; any name that serves as the subject of a …
Unifying principles of generalization: past, present, and future
Generalization, defined as applying limited experiences to novel situations, represents a
cornerstone of human intelligence. Our review traces the evolution and continuity of …
cornerstone of human intelligence. Our review traces the evolution and continuity of …
Intellectual capital architectures and ambidextrous learning: a framework for human resource management
abstract Both researchers and managers are increasingly interested in how firms can pursue
ambidextrous learning; that is, simultaneously exploring new knowledge domains while …
ambidextrous learning; that is, simultaneously exploring new knowledge domains while …
Rules and exemplars in category learning.
Psychological theories of categorization generally focus on either rule-or exemplar-based
explanations. We present 2 experiments that show evidence of both rule induction and …
explanations. We present 2 experiments that show evidence of both rule induction and …
A multilevel approach to building and leading learning organizations
A multilevel model is offered proposing that organizational learning is an interdependent
system where effective leaders enact intervention strategies at the individual (micro) …
system where effective leaders enact intervention strategies at the individual (micro) …
Models of semantic memory
Meaning is a fundamental component of nearly all aspects of human cognition, but formal
models of semantic memory have classically lagged behind many other areas of cognition …
models of semantic memory have classically lagged behind many other areas of cognition …
Learning to design from humans: Imitating human designers through deep learning
Humans as designers have quite versatile problem-solving strategies. Computer agents on
the other hand can access large-scale computational resources to solve certain design …
the other hand can access large-scale computational resources to solve certain design …
[PDF][PDF] Expectancies
NJ Roese, JW Sherman - 2016 - escholarship.org
Nearly every human society has reserved a special place for those denizens claiming the
ability to predict the fu-ture. Prophets, astrologers, shamans, witch doctors, and scientists are …
ability to predict the fu-ture. Prophets, astrologers, shamans, witch doctors, and scientists are …
Transformation of the discriminative and eliciting functions of generalized relational stimuli
In three experiments, match‐to‐sample procedures were used with undergraduates to
establish arbitrary relational functions for three abstract visual stimuli. In the presence of …
establish arbitrary relational functions for three abstract visual stimuli. In the presence of …
A model of probabilistic category learning.
JK Kruschke, MK Johansen - Journal of Experimental Psychology …, 1999 - psycnet.apa.org
A new connectionist model (named RASHNL) accounts for many “irrational” phenomena
found in nonmetric multiple-cue probability learning, wherein people learn to utilize a …
found in nonmetric multiple-cue probability learning, wherein people learn to utilize a …