Content and Its Vehicles in Connectionist Systems

Content and Its Vehicles in Connectionist Systems

This paper advocates explicitness about the type of entity to be considered as contentbearing in connectionist systems; it makes a positive proposal about how vehicles of content should be individuated; and it deploys that proposal to argue in favour of representation in connectionist systems. The proposal is that the vehicles of content in some connectionist systems are clusters in the state s...

Dissociation in connectionist systems.

Connectionist techniques are increasingly being used to model cognitive function with a view to providing extensions, elaborations or replacements of earlier “box and arrow” models. Networks of simplified processing units loosely based on real neurons are set up with architectures based on known physiology, trained to perform appropriately simplified versions of real tasks, and iteratively refi...

Detecting and counting vehicles using adaptive background subtraction and morphological operators in real time systems

vehicle detection and classification of vehicles play an important role in decision making for the purpose of traffic control and management.this paper presents novel approach of automating detecting and counting vehicles for traffic monitoring through the usage of background subtraction and morphological operators. We present adaptive background subtraction that is compatible with weather and ...

Symbol Processing Systems, Connectionist Networks, and Generalized Connectionist Networks

Many authors have suggested that SP (symbol processing) and CN (connectionist network) models offer radically, or even fundamentally, different paradigms for modeling intelligent behavior (see Schneider, 1987) and the design of intelligent systems. Others have argued that CN models have little to contribute to our efforts to understand intelligence (Fodor & Pylyshyn, 1988). A critical examinati...

Towards Instructable Connectionist Systems