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Pei Wang

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Pei Wang

  • College of Science and Technology

    • Computer and Information Sciences

      • Associate Professor of Instruction

Courses Taught

Number

Name

Level

CIS 2033

Computational Probability and Statistics

Undergraduate

CIS 5511

Programming Techniques

Graduate

CIS 5603

Artificial Intelligence

Graduate

Selected Publications

Recent

  • Hammer, P., Lofthouse, T., Fenoglio, E., Latapie, H., & Wang, P. (2021). A Reasoning Based Model for Anomaly Detection in the Smart City Domain. Advances in Intelligent Systems and Computing, 1251 AISC, 144-159. doi: 10.1007/978-3-030-55187-2_13.

  • Lanza, F., Hammer, P., Seidita, V., Wang, P., & Chella, A. (2020). Agents in dynamic contexts, a system for learning plans. Proceedings of the ACM Symposium on Applied Computing, 823-825. doi: 10.1145/3341105.3374083.

  • Slam, N., Slamu, W., & Wang, P. (2020). A Case Representation and Similarity Measurement Model with Experience-Grounded Semantics. International Journal of Software Engineering and Knowledge Engineering, 30(1), 119-146. doi: 10.1142/S0218194020500060.

  • Wang, P., Hammer, P., & Wang, H. (2020). An architecture for real-time reasoning and learning. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12177 LNAI, 347-356. doi: 10.1007/978-3-030-52152-3_37.

  • Thórisson, K., Bieger, J., Li, X., & Wang, P. (2019). Cumulative learning. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11654 LNAI, 198-208. doi: 10.1007/978-3-030-27005-6_20.

  • Power, B., Li, X., & Wang, P. (2019). Generalized diagnostics with the non-axiomatic reasoning system (NARS). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11654 LNAI, 159-167. doi: 10.1007/978-3-030-27005-6_16.

  • Xu, Y. & Wang, P. (2018). Why is the Husserlian notion of “intentionality” needed by artificial general intelligence? Philosophical Forum, 49(4), 401-425. doi: 10.1111/phil.12207.

  • Wang, P., Liu, K., & Dougherty, Q. (2018). Conceptions of artificial intelligence and singularity. Information (Switzerland), 9(4). doi: 10.3390/info9040079.

  • Wang, P., Li, X., & Hammer, P. (2018). Self in NARS, an AGI system. Frontiers Robotics AI, 5(MAR). doi: 10.3389/frobt.2018.00020.

  • Wang, P. & Hammer, P. (2018). Perception from an AGI perspective. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10999 LNAI, 259-269. doi: 10.1007/978-3-319-97676-1_25.

  • Li, X., Hammer, P., Wang, P., & Xie, H. (2018). Functionalist emotion model in NARS. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10999 LNAI, 119-129. doi: 10.1007/978-3-319-97676-1_12.

  • Wang, P., Li, X., & Hammer, P. (2018). Introspective learning, reasoning, and decision making in NARS? CEUR Workshop Proceedings, 2287.

  • Slam, N., Slamu, W., & Wang, P. (2017). A Prototype Intelligent Decision-Support System with a Unified Planning and Learning Capabilities. International Journal on Artificial Intelligence Tools, 26(6). doi: 10.1142/S0218213017500257.

  • Wang, P., Li, X., & Hammer, P. (2017). Self-awareness and self-control in NARS. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10414 LNAI, 33-43. doi: 10.1007/978-3-319-63703-7_4.