Developing the Computational Building Blocks for General Intelligent in SOAR

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Shalini
S. Srinivasan
Nitin Bansal
Piyush Prakash

Abstract

Cognitive architecture's purpose is to generate artificial agents with capacities similar to the human mind. Soar Cognitive Architecture is to produce the fixed computational building blocks needed for generally intelligent agents— agents that can outright a variety of tasks and encode, use, and learn all types of knowledge to realize the broad cognitive abilities present in humans. This paper introduced an arithmetic agent that does multicolumn, two-digit addition in SOAR. Here, we show the entire calculating procedure, including all of its operators. We are using episodic memory assistance to enhance the set of cognitive abilities that let the agent learn and reason.

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How to Cite
Shalini, S., S. . Srinivasan, N. . Bansal, and P. . Prakash. “Developing the Computational Building Blocks for General Intelligent in SOAR”. International Journal on Recent and Innovation Trends in Computing and Communication, vol. 11, no. 1s, Jan. 2023, pp. 57-63, doi:10.17762/ijritcc.v11i1s.5994.
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Articles

References

Laird, J. E. , Introduction to Soar. https://arxiv.org/abs/2205.03854,2022.

Andrew M. Nuxoll, John E.Laird,“Enhancing Intelligent agents with Episodic Memory”, ScienceDirect, Cognitive Systems Research,34-48,2012.

Langley, P., Laird, J. E., and Rogers, S., ”Cognitive architectures: Research issues and challenges”, Cognitive Systems Research, 10(2), pp 141-160,2019.

Newell, A. :” Unified Theories of Cognition.” Harvard University Press, 1990.

Laird, J. E., Newell, A., Rosenbloom, P. S. “Soar: An Architecture for General Intelligence” Artificial Intelligence, 33(3), 1-64,1987.

Rosenbloom, P. S., Laird, J. E., & Newell, A “ The Soar papers: Research on Integrated Intelligence” , MIT Press, Cambridge, MA,1993.

Laird, J. E., & Rosenbloom, P.S “The evolution of the Soar cognitive architecture” In T. Mitchell (ed.) Mind Matters, 1-50, 1993.

Laird, J.E. , “ The Soar Cognitive Architecture” , AISB Quarterly, #134 ,2012.

Shalini, Dr. S. Srinivasan & Nitin , “A Review on SOAR Cognitive Architecture. International Conference on Information, Technology and Management (ICITM-2019)” , Laxmi Devi Institute of Engg. & Technology , Alwar, Rajasthan, India,2019.

John E. Laird , “Extending the Soar Cognitive Architecture, Artificial General Intelligence”, 2008, Proceedings of the First AGI Conference, AGI 2008, March 1-3, 2008, University of Memphis, Memphis, TN, USA, 2008.

Nason, S., and Laird, J. E., “ Soar-RL: Integrating reinforcement learning with Soar. Cognitive Systems Research” , 6(1), 51-59,2005..

Derbinsky, N., Laird, J. E., and Smith, B., “Towards Efficiently Supporting Large Symbolic Declarative Memories”, Proceedings of the Tenth International Conference on Cognitive Modeling, Philadelphia, PA, 2010.

Tulving, E. , “ Elements of Episodic Memory”, Oxford: Clarendon Press, 1983.

. Lindes, P. Intelligence and Agency, Journal of Artificial General Intelligence 11(2), 47-49 doi:10.2478/jagi-2020-0003, 2020.

Laird, J. E. (2020). Intelligence, Knowledge & Human-like Intelligence, Journal of Artificial General Intelligence 11(2), 41-44. doi:10.2478/jagi-2020-0003.