Contains fulltext : 72913.pdf (publisher's version ) (Closed access)Leech, Mareschal, & Cooper present a connectionist algorithm as a model of (the development) of analogizing, but they do not specify the algorithm's associated computational-level theory, nor its computational complexity. We argue that doing so may be essential for connectionist cognitive models to have full explanatory power and transparency, as well as for assessing their scalability to real-world input domains.2 p
Computation is central to the foundations of modern cognitive science, but its role is controversial...
This paper claims that higher cognition implemented by a connectionist system will be essentially an...
Massively parallel (connectionist) computational models are playing an increasingly important role i...
Leech, Mareschal, & Cooper present a connectionist algorithm as a model of (the development) of anal...
Although connectionism is advocated by its proponents as an alternative to the classical computation...
[From the introduction] The two main paradigms in cognitive science are computationalism and connect...
Connectionist approaches to cognitive modeling make use of large networks of simple computational u...
This chapter surveys the use of logic and computational complexity theory in cognitive science. We e...
This paper aims to offer a new view of the role of connectionist models in the study of human cognit...
This paper explores the question of whether connectionist models of cognition should be considered t...
Although the connectionist approach has lead to elegant solutions to a number of problems in cogniti...
ffl In order to evaluate the utility of a measure M of the power of cognitive models, it is useful ...
Cognitive science is itself a cognitive activity. Yet, computational cognitive science tools are sel...
Complexity analysis provides a measure of how well the com-putations being performed by a cognitive ...
We overview logical and computational explanations of the notion of tractability as applied in cogni...
Computation is central to the foundations of modern cognitive science, but its role is controversial...
This paper claims that higher cognition implemented by a connectionist system will be essentially an...
Massively parallel (connectionist) computational models are playing an increasingly important role i...
Leech, Mareschal, & Cooper present a connectionist algorithm as a model of (the development) of anal...
Although connectionism is advocated by its proponents as an alternative to the classical computation...
[From the introduction] The two main paradigms in cognitive science are computationalism and connect...
Connectionist approaches to cognitive modeling make use of large networks of simple computational u...
This chapter surveys the use of logic and computational complexity theory in cognitive science. We e...
This paper aims to offer a new view of the role of connectionist models in the study of human cognit...
This paper explores the question of whether connectionist models of cognition should be considered t...
Although the connectionist approach has lead to elegant solutions to a number of problems in cogniti...
ffl In order to evaluate the utility of a measure M of the power of cognitive models, it is useful ...
Cognitive science is itself a cognitive activity. Yet, computational cognitive science tools are sel...
Complexity analysis provides a measure of how well the com-putations being performed by a cognitive ...
We overview logical and computational explanations of the notion of tractability as applied in cogni...
Computation is central to the foundations of modern cognitive science, but its role is controversial...
This paper claims that higher cognition implemented by a connectionist system will be essentially an...
Massively parallel (connectionist) computational models are playing an increasingly important role i...