
Commonsense and Artificial Intelligence Systems
PROCEEDING
Kyle Boudreaux, McNeese State University, United States
Society for Information Technology & Teacher Education International Conference, in Washington, D.C., United States ISBN 978-1-939797-32-2 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC USA
Abstract
The pervasiveness of artificial intelligence (AI) in the consumer realm makes it a considerable topic of research for many scholars. While most modern AI systems are more robust and complex, containing a level of sophistication that could only be dreamed of just a few short years ago, they are lacking truly human levels of sophistication until the power of commonsense is harnessed. This paper argues the importance of commonsense as related to AI, identifies the application of commonsense in AI systems and looks at its role in educational technologies.
Citation
Boudreaux, K. (2018). Commonsense and Artificial Intelligence Systems. In E. Langran & J. Borup (Eds.), Proceedings of Society for Information Technology & Teacher Education International Conference (pp. 21-24). Washington, D.C., United States: Association for the Advancement of Computing in Education (AACE). Retrieved March 31, 2023 from https://www.learntechlib.org/primary/p/182496/.
© 2018 Association for the Advancement of Computing in Education (AACE)
References
View References & Citations Map- Cambria, E., Olsher, D., & Rajagopal, D. (2014). SenticNet 3: a common and common-sense knowledge base for cognition-driven sentiment analysis. Paper presented at the Twenty-eighth AAAI conference on artificial intelligence.
- Davis, E., & Marcus, G. (2015). Commonsense reasoning and commonsense knowledge in artificial intelligence. Communications of the ACM, 58(9), 92-103.
- Ferris, B. (2014). AI optimism: reasons for hope in the science of Artificial Intelligence. Skeptic (Altadena, CA), 19(2), 46-54.
- McCarthy, J. (1960). Programs with commonsense: RLE and MIT Computation Center.
- McCarthy, J. (1989). Artificial intelligence, logic and formalizing commonsense Philosophical logic and artificial intelligence (pp. 161-190): Springer.
- Ohlsson, S., Sloan, R.H., Turán, G., Uber, D., & Urasky, A. (2012). An Approach to Evaluate AI Commonsense Reasoning Systems. Paper presented at the FLAIRS Conference.
- Yampolskiy, R.V. (2015). Taxonomy of pathways to dangerous AI. ArXiv preprint arXiv:1511.03246.
These references have been extracted automatically and may have some errors. Signed in users can suggest corrections to these mistakes.
Suggest Corrections to References