Books
P. Shakarian, H. Wei (eds.), Metacognitive Artificial Intelligence. Cambridge University Press (in press) 2025.
P. Shakarian, G.I. Simari, C. Baral, B. Xi, L. Pokala, Neuro Symbolic Reasoning and Learning, Springer-Nature, 2023.
Preprints
M. Leiva, N. Ngu, J. S. Kricheli, A. Taparia, R. Senanayake, P. Shakarian, N.D. Bastian, J. Cororan, G. Simari, Consistency-based Abductive Reasoning over Perceptual Errors of Multiple Pre-trained Models in Novel Environments.
A. Taparia, N. Ngu, M. Leiva, J. S. Kricheli, J. Cororan, N.D. Bastian, G. Simari, P. Shakarian, R. Senanayake, VLC Fusion: Vision-Language Conditioned Sensor Fusion for Robust Object Detection.
L. Da, J. Turnau, T.P. Kutralingam, A. Velazquez, P. Shakarian, H. Wei, A Survey of Sim-to-Real Methods in RL: Progress, Prospects and Challenges with Foundation Models.
2025
D. Aditya, C. Payne, M. A. Leiva, P. Shakarian, Machine Learning Model Integration with Open World Temporal Logic for Process Automation, 41st Intl. Conference on Logic Programming (ICLP-25).
J. Patil, R. Knuszka, A. Chapman, J. Chapman, P. Shakarian, Reasoning about Medical Triage Optimization with Logic Programming, 41st Intl. Conference on Logic Programming (ICLP-25).
D. Bavikadi, N. Lee, P. Shakarian, C. Parvis, Sea-cret Agents: Maritime Abduction for Region Generation to Expose Dark Vessel Trajectories, 24thIntl. Conf. on Autonomous Agents and Multiagent Systems (AAMAS-2025).
D. Bavikadi, A. Agarwal, S. Ganta, Y. Chung, L. Song, J. Qiu, P. Shakarian, Machine Learning Driven Biomarker Selection for Medical Diagnosis, PLoS ONE 20(6). (preprint version)
N. Ngu, A. Taparia, G. Simari, M. Leiva, J. Corcoran, R. Senanayake, P. Shakarian, N. Bastian, Multiple Distribution Shift – Aerial (MDS-A): A Dataset for Test-Time Error Detection and Model Adaptation, AAAI Spring Symposium (AAAI-MAKE) (Apr. 2025).
P. Shakarian, G. Simari, N. Bastian, Probabilistic Foundations for Metacognition via Hybrid-AI, AAAI Spring Symposium (AAAI-MAKE) (Apr. 2025).
B. Xi, K. Scaria, D. Bavikadi, P. Shakarian, Rule-Based Error Detection and Correction to Operationalize Movement Trajectory Classification. IJCAI Workshop on Spatio-Temporal Reasoning and Learning (2025).
2024
J. S. Kricheli, K. Voa, A. Datta, S. Ozgur, P. Shakarian, Error Detection and Constraint Recovery in Hierarchical Multi-Label Classification without Prior Knowledge, 33rd ACM International Conference on Information and Knowledge Management (CIKM-24) (2024).
A. M. S. Chowdhury, P. Shakarian, G.I. Simari, Abduction of Domain Relationships from Data for VQA, 40th Intl. Conference on Logic Programming (ICLP-24).
D. Bavikadi, D. Aditya, D. Parkar, P. Shakarian, G. Mueller, C. Parvis, G. Simari, Geospatial Trajectory Generation via Efficient Abduction: Deployment for Independent Testing, 40th Intl. Conference on Logic Programming (ICLP-24).
N. Lee, N. Ngu, H. Sahdev, P. Motaganahalli, A. Chowdhury, B. Xi, P. Shakarian, Metal Price Spike Prediction via a Neurosymbolic Ensemble Approach, Proceedings of the 2024 IEEE International Conference on Data Mining Workshops (ICDMW).
H. Wei, P. Shakarian, C. Lebiere, B. Draper, N. Krishnaswamy, S. Nirenburg, Metacognitive AI: Framework and the Case for a Neurosymbolic Approach. 18th International Conference on Neural-Symbolic Learning and Reasoning (NeSy), 2024. (preprint version)
K. Mukherji, D. Parkar, L. Pokala, D. Aditya, P. Shakarian, C. Dorman, Scalable Semantic Non-Markovian Simulation Proxy for Reinforcement Learning, 18th IEEE International Conference on Semantic Computing (IEEE ICSC), 2024.
N. Ngu, N. Lee, P. Shakarian. Diversity Measures: Domain-Independent Proxies for Failure in Language Model Queries, 18th IEEE International Conference on Semantic Computing (IEEE ICSC), 2024.
2023
D. A. Furman, S. A. Malvicini, M. V. Martinez, P. Shakarian, G. I. Simari, Y. O. Soto, A Neuro-symbolic Approach to Argument Comparison in Structured Argumentation, 7th Workshop on Advances in Argumentation in Artificial Intelligence (AI3 ) (Nov. 2023).
D. Aditya, K. Mukherji, S. Balasubramanian, A. Chaudhary, P. Shakarian, PyReason: Software for Open World Temporal Logic, AAAI Spring Symposium (AAAI-MAKE) (Mar. 2023). (CEUR-WS)
P. Shakarian, A. Koyyalamudi, N. Ngu, L. Mareedu, An Independent Evaluation of ChatGPT on Mathematical Word Problems (MWP), AAAI Spring Symposium (AAAI-MAKE) (Mar. 2023). (CEUR-WS)
2022
M. A. Leiva, A. J. García, P. Shakarian, G. I. Simari, Argumentation-based Query Answering under Uncertainty with Application to Cybersecurity, Big Data and Cognitive Computing, 6(91). Editor’s Choice Award.
P. Shakarian, G.I. Simari, Extensions to Generalized Annotated Logic and an Equivalent Neural Architecture, IEEE TransAI, 2022.
Older Papers
Please visit DBLP or Google Scholar