A Cognitive Science Based Machine Learning Architecture

D'Mello, S.K. and Franklin, Stan and Ramamurthy, Uma and Baars, Bernard J. (2006) A Cognitive Science Based Machine Learning Architecture. [Conference Paper]

Full text available as:



In an attempt to illustrate the application of cognitive science principles to hard AI problems in machine learning we propose the LIDA technology, a cognitive science based architecture capable of more human-like learning. A LIDA based software agent or cognitive robot will be capable of three fundamental, continuously active, humanlike learning mechanisms: 1) perceptual learning, the learning of new objects, categories, relations, etc., 2) episodic learning of events, the what, where, and when, 3) procedural learning, the learning of new actions and action sequences with which to accomplish new tasks. The paper argues for the use of modular components, each specializing in implementing individual facets of human and animal cognition, as a viable approach towards achieving general intelligence.

Item Type:Conference Paper
Subjects:Psychology > Cognitive Psychology
Computer Science > Artificial Intelligence
ID Code:5853
Deposited By: gudiseva, hema
Deposited On:28 Nov 2007 03:11
Last Modified:11 Mar 2011 08:57


Repository Staff Only: item control page