AbstractIn recent years there has been a great deal of interest in ‘connectionism’. This name covers a variety of activities, some of them wholly non-mathematical, concerned with processes which resemble the cognitive functions of the human brain. In this paper I shall use standard graph-theoretic terminology to describe some mathematical aspects of this work. A fundamental problem is to formalize the notion of learning in such a way that significant mathematical results can be obtained. The notion of ‘probably approximately correct’ learning turns out to be appropriate and important results have been obtained by using the notion of dimension due to Vapnik and Chervonenkis
Connectionist approaches to cognitive modeling make use of large networks of simple computational u...
Since the beginning of the 1980's, a lot of news approaches of biomimetic inspiration have been defi...
This article considers how connectionist modeling can contrib-ute to understanding ofhuman cognition...
AbstractIn recent years there has been a great deal of interest in ‘connectionism’. This name covers...
Although connectionism is advocated by its proponents as an alternative to the classical computation...
AbstractThere is a lot of excitement in the field of artificial intelligence (AI) at the moment cent...
The specific problem in this project is to predict the large scale connectivity of a certain random ...
This thesis explores the use of artificial neural networks for modelling cognitive processes. It pre...
Connectionism's main contribution to cognitive science will prove to be the renewed impetus it has i...
Connectionism is the theory that sees brain in terms of neural or parallel distributed processing ne...
This paper aims to offer a new view of the role of connectionist models in the study of human cognit...
Connectionist techniques are increasingly being used to model cognitive function with a view to prov...
The network approach to computation is more direct and “physical” than the one based on some specifi...
The employment of a particular class of computer programs known as "connectionist networks" to model...
This paper illustrates a framework for applying formal methods techniques, which are symbolic in nat...
Connectionist approaches to cognitive modeling make use of large networks of simple computational u...
Since the beginning of the 1980's, a lot of news approaches of biomimetic inspiration have been defi...
This article considers how connectionist modeling can contrib-ute to understanding ofhuman cognition...
AbstractIn recent years there has been a great deal of interest in ‘connectionism’. This name covers...
Although connectionism is advocated by its proponents as an alternative to the classical computation...
AbstractThere is a lot of excitement in the field of artificial intelligence (AI) at the moment cent...
The specific problem in this project is to predict the large scale connectivity of a certain random ...
This thesis explores the use of artificial neural networks for modelling cognitive processes. It pre...
Connectionism's main contribution to cognitive science will prove to be the renewed impetus it has i...
Connectionism is the theory that sees brain in terms of neural or parallel distributed processing ne...
This paper aims to offer a new view of the role of connectionist models in the study of human cognit...
Connectionist techniques are increasingly being used to model cognitive function with a view to prov...
The network approach to computation is more direct and “physical” than the one based on some specifi...
The employment of a particular class of computer programs known as "connectionist networks" to model...
This paper illustrates a framework for applying formal methods techniques, which are symbolic in nat...
Connectionist approaches to cognitive modeling make use of large networks of simple computational u...
Since the beginning of the 1980's, a lot of news approaches of biomimetic inspiration have been defi...
This article considers how connectionist modeling can contrib-ute to understanding ofhuman cognition...