How Emotional Mechanism Helps Episodic Learning in a Cognitive Agent

TL;DR

This paper introduces CTS, a biologically inspired cognitive agent that uses emotional mechanisms to enhance episodic learning and memory, aligning with neuroscience theories and improving behavior adaptation.

Contribution

The paper presents a novel cognitive agent architecture that integrates emotional valences into episodic memory, inspired by neuroscience, and employs a data mining-based memory consolidation process.

Findings

Emotional mechanisms improve event encoding and recall.

The agent's behavior adapts based on emotional memory influences.

Memory consolidation enhances learning efficiency.

Abstract

In this paper we propose the CTS (Concious 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. Our proposed episodic memory and episodic learning mechanism are closer to the current multiple-trace theory in neuroscience, because they are inspired by it [5] contrary to other mechanisms that are incorporated in cognitive agents. This is because in our model emotions play a role in the encoding and remembering of events. This allows the agent to improve its behavior by remembering previously selected behaviors which are influenced by its emotional mechanism. Moreover, the architecture incorporates a realistic memory consolidation process based on a data mining algorithm.