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How Soar Agent Learns: Episodic Memory

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2019
Nitin Bansal, S. Srinivasan

Nitin Bansal and S Srinivasan. How Soar Agent Learns: Episodic Memory. International Journal of Computer Applications 181(36):21-25, January 2019. BibTeX

	author = {Nitin Bansal and S. Srinivasan},
	title = {How Soar Agent Learns: Episodic Memory},
	journal = {International Journal of Computer Applications},
	issue_date = {January 2019},
	volume = {181},
	number = {36},
	month = {Jan},
	year = {2019},
	issn = {0975-8887},
	pages = {21-25},
	numpages = {5},
	url = {},
	doi = {10.5120/ijca2019918328},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


The main objective of this paper is to make the agent learn from its experiences in order to improve its intelligence. Learning is performed with the help of episodic memory which store the previous experiences in the form of episodes in order to solve the problem. With the help of the implementation in soar of an example, this paper presents the improvement in intelligence. In this paper episodes (previous experiences) which are in the form of WME (working memory elements) work to improve the intelligence. Objective of this paper is to show that learning always improves performance i.e. as agent learns more, the performance will improve.


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Soar, Working Memory, Episodic Memory, VisualSoar, epmem, Cues, Working Memory Elements.