CMRules: Mining sequential rules common to several sequences
Knowledge-Based Systems
Implementing an efficient causal learning mechanism in a cognitive tutoring agent
IEA/AIE'11 Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part II
A cognitive tutoring agent with episodic and causal learning capabilities
AIED'11 Proceedings of the 15th international conference on Artificial intelligence in education
Emotional cognitive architectures
ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part I
| Hi-index | 0.00 |
In this article, we propose the Conscious-Emotional Learning Tutoring System technology, a biologically plausible cognitive agent based on human brain functions. This agent is capable of learning and remembering events and any related information such as corresponding procedures, stimuli and their emotional valences. In our model, emotions play a role in the encoding and remembering of events. This allows the agent to improve its behaviour or by remembering previously selected behaviours which were influenced by its emotional mechanism. Moreover, the architecture incorporates a realistic memory consolidation process based on a data mining algorithm.