Enhancing Effective Learning Capability of SOAR Agent based Episodic Memory
Kuldeep Singh Kaswan, Mahaveer Singh Naruka, Jagjit Singh Dhatterwal
Abstract
In order to increase the agent's intelligence, the fundamental goal of the research paper is to learn from its experiences. In order to solve a problem, learning is accomplished with the aid of episodic memory, which stores previous experiences as episodes. This study illustrates the improvement in intelligence with the use of the application of an example in soar. Working memory elements (WMEs), which are episodes (past experiences) in the form, are discussed in this paper as a means of enhancing intelligence. The purpose of this work is to demonstrate that knowledge always leads to performance improvement, meaning that as an agent studies more, performance will extend.
Topics & Concepts
SoarComputer scienceEpisodic memoryMeaning (existential)Artificial intelligenceOrder (exchange)Cognitive scienceCognitive psychologyPsychologyCognitionFinanceEconomicsNeurosciencePsychotherapistAI-based Problem Solving and PlanningArtificial Intelligence in GamesReinforcement Learning in Robotics