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2020 – today
- 2022
[c34]Antonio Laverghetta Jr., John Licato:
Developmental Negation Processing in Transformer Language Models. ACL (2) 2022: 545-551- [c33]Animesh Nighojkar, Anna Khlyzova, John Licato:
Cognitive Modeling of Semantic Fluency Using Transformers. CAKR@IJCAI 2022 - [i11]Antonio Laverghetta Jr., John Licato:
Developmental Negation Processing in Transformer Language Models. CoRR abs/2204.14114 (2022) - [i10]Antonio Laverghetta Jr., Animesh Nighojkar, Jamshidbek Mirzakhalov, John Licato:
Predicting Human Psychometric Properties Using Computational Language Models. CoRR abs/2205.06203 (2022) - [i9]Animesh Nighojkar, Anna Khlyzova, John Licato:
Cognitive Modeling of Semantic Fluency Using Transformers. CoRR abs/2208.09719 (2022) - [i8]John Licato, Logan Fields, Zaid Marji:
Resoling Open-textured Rules with Templated Interpretive Arguments. CoRR abs/2212.09700 (2022) - 2021
- [j4]Ryan Phillip Quandt, John Licato:
Mood and force in defeasible arguments. Argument Comput. 12(3): 303-328 (2021) - [c32]Animesh Nighojkar, John Licato:
Improving Paraphrase Detection with the Adversarial Paraphrasing Task. ACL/IJCNLP (1) 2021: 7106-7116 - [c31]Antonio Laverghetta Jr., John Licato:
Modeling Age of Acquisition Norms Using Transformer Networks. FLAIRS 2021 - [c30]Elijah Malaby, John Licato:
Exploring Monte Carlo Negotiation Search with Nontrivial Agreements. FLAIRS 2021 - [c29]Zaid Marji, John Licato:
Backtracking Restarts for Deep Reinforcement Learning. FLAIRS 2021 - [c28]Animesh Nighojkar, John Licato:
Mutual Implication as a Measure of Textual Equivalence. FLAIRS 2021 - [c27]Antonio Laverghetta Jr., Animesh Nighojkar, Jamshidbek Mirzakhalov, John Licato:
Can Transformer Language Models Predict Psychometric Properties? *SEM 2021: 12-25 - [c26]Jamshidbek Mirzakhalov, Anoop Babu, Aigiz Kunafin, Ahsan Wahab, Behzodbek Moydinboyev, Sardana Ivanova, Mokhiyakhon Uzokova, Shaxnoza Pulatova, Duygu Ataman, Julia Kreutzer, Francis M. Tyers, Orhan Firat, John Licato, Sriram Chellappan:
Evaluating Multiway Multilingual NMT in the Turkic Languages. WMT@EMNLP 2021: 518-530 - [c25]Giovanni Luca Ciampaglia, John Licato:
Fact-checking, False Narratives, and Argumentation Schemes. KnOD@WWW 2021 - [i7]Antonio Laverghetta Jr., Animesh Nighojkar, Jamshidbek Mirzakhalov, John Licato:
Can Transformer Language Models Predict Psychometric Properties? CoRR abs/2106.06849 (2021) - [i6]Animesh Nighojkar, John Licato:
Improving Paraphrase Detection with the Adversarial Paraphrasing Task. CoRR abs/2106.07691 (2021) - [i5]Jamshidbek Mirzakhalov, Anoop Babu, Aigiz Kunafin, Ahsan Wahab, Behzod Moydinboyev, Sardana Ivanova, Mokhiyakhon Uzokova, Shaxnoza Pulatova, Duygu Ataman, Julia Kreutzer, Francis M. Tyers, Orhan Firat, John Licato, Sriram Chellappan:
Evaluating Multiway Multilingual NMT in the Turkic Languages. CoRR abs/2109.06262 (2021) - [i4]John Licato:
How Should AI Interpret Rules? A Defense of Minimally Defeasible Interpretive Argumentation. CoRR abs/2110.13341 (2021) - 2020
- [c24]Michael Cooper, Lindsay Fields, Marc Badilla, John Licato:
WG-A: A Framework for Exploring Analogical Generalization and Argumentation. CogSci 2020 - [c23]Elijah Malaby, Bradley Dragun, John Licato:
Towards Concise, Machine-Discovered Proofs of Gödel's Two Incompleteness Theorems. FLAIRS 2020: 106-111 - [c22]Zaid Marji, Animesh Nighojkar, John Licato:
Probing the Natural Language Inference Task with Automated Reasoning Tools. FLAIRS 2020: 197-200 - [c21]Selmer Bringsjord, Naveen Sundar Govindarajulu, John Licato, Michael Giancola:
Learning Ex Nihilo. GCAI 2020: 1-27 - [c20]Michael Giancola, Selmer Bringsjord, Naveen Sundar Govindarajulu, John Licato:
Adjudication of Symbolic & Connectionist Arguments in Autonomous Driving AI. GCAI 2020: 28-33 - [c19]Antonio Laverghetta, Jamshidbek Mirzakhalov, John Licato:
Towards a Task-Agnostic Model of Difficulty Estimation for Supervised Learning Tasks. AACL/IJCNLP (Student Research Workshop) 2020: 16-23 - [i3]Zaid Marji, Animesh Nighojkar, John Licato:
Probing the Natural Language Inference Task with Automated Reasoning Tools. CoRR abs/2005.02573 (2020) - [i2]Elijah Malaby, Bradley Dragun, John Licato:
Towards Concise, Machine-discovered Proofs of Gödel's Two Incompleteness Theorems. CoRR abs/2005.02576 (2020)
2010 – 2019
- 2019
- [j3]John Licato, Zhitian Zhang:
Evaluating representational systems in artificial intelligence. Artif. Intell. Rev. 52(2): 1463-1493 (2019) - [j2]John Licato, Zhitian Zhang:
Correction to: Evaluating representational systems in artificial intelligence. Artif. Intell. Rev. 52(4): 2743 (2019) - [c18]Mark Boger, Antonio Laverghetta, Nikolai Fetisov, John Licato:
Generating Near and Far Analogies for Educational Applications: Progress and Challenges. ICMLA 2019: 1968-1975 - [i1]John Licato, Zaid Marji, Sophia Abraham:
Scenarios and Recommendations for Ethical Interpretive AI. CoRR abs/1911.01917 (2019) - 2018
- [c17]John Licato, Mark Boger, Zhitian Zhang:
Developing a Dataset for Personal Attacks and Other Indicators of Biases. AAAI Spring Symposia 2018 - 2017
- [c16]Bre Anne Briskey, Miriam Greidanus Romaneli, Dustin Hale, John Licato:
Understanding the U-Shaped Curve: Central Claims and Applications for AI. MAICS 2017: 21-28 - [c15]Maxwell Fowler, Aaron Thieme, John Licato:
Robotic Misdirection, For Good Causes. MAICS 2017: 47-54 - [e1]John Licato, Aleshia T. Hayes, Michael Glass:
Proceedings of the 28th Modern Artificial Intelligence and Cognitive Science Conference 2017, Fort Wayne, IN, USA, April 28-29, 2017. CEUR Workshop Proceedings 1964, CEUR-WS.org 2017 [contents] - 2016
- [c14]John Licato, Maxwell Fowler:
Embracing Inference as Action: A Step Towards Human-Level Reasoning. AGI 2016: 192-201 - 2015
- [b1]John Licato:
Analogical constructivism : the emergence of reasoning through analogy and action schemas. Rensselaer Polytechnic Institute, USA, 2015 - [c13]John Licato:
Formalizing Deceptive Reasoning in Breaking Bad: Default Reasoning in a Doxastic Logic. AAAI Fall Symposia 2015: 27-33 - [c12]John Licato, Nick Marton, Boning Dong, Ron Sun, Selmer Bringsjord:
Modeling the Creation and Development of Cause-Effect Pairs for Explanation Generation in a Cognitive Architecture. AIC 2015: 29-39 - [c11]Selmer Bringsjord, John Licato, Naveen Sundar Govindarajulu, Rikhiya Ghosh, Atriya Sen:
Real robots that pass human tests of self-consciousness. RO-MAN 2015: 498-504 - [c10]Paul Bello, John Licato, Selmer Bringsjord:
Constraints on freely chosen action for moral robots: Consciousness and control. RO-MAN 2015: 505-510 - [c9]Konner Atkin, John Licato, Selmer Bringsjord:
Modeling interoperability between a reflex and reasoning system in a physical simulation environment. SpringSim (Posters) 2015: 5-6 - [c8]Nick Marton, John Licato, Selmer Bringsjord:
Creating and reasoning over scene descriptions in a physically realistic simulation. SpringSim (ADS) 2015: 84-91 - 2014
- [j1]Selmer Bringsjord, Naveen Sundar Govindarajulu, Simon Ellis, Evan McCarty, John Licato:
Nuclear deterrence and the logic of deliberative mindreading. Cogn. Syst. Res. 28: 20-43 (2014) - [c7]Naveen Sundar Govindarajulu, John Licato, Selmer Bringsjord:
Toward a Formalization of QA Problem Classes. AGI 2014: 228-233 - [c6]John Licato, Ron Sun, Selmer Bringsjord:
Using Meta-Cognition for Regulating Explanatory Quality Through a Cognitive Architecture. AIC 2014: 27-38 - [c5]John Licato, Ron Sun, Selmer Bringsjord:
Using a Hybrid Cognitive Architecture to Model Children's Errors in an Analogy Task. CogSci 2014 - [c4]John Licato, Ron Sun, Selmer Bringsjord:
Structural representation and reasoning in a hybrid cognitive architecture. IJCNN 2014: 891-898 - 2013
- [c3]John Licato, Naveen Sundar Govindarajulu, Selmer Bringsjord, Michael Pomeranz, Logan Gittelson:
Analogico-Deductive Generation of Gödel's First Incompleteness Theorem from the Liar Paradox. IJCAI 2013: 1004-1009 - [c2]Naveen Sundar Govindarajulu, John Licato, Selmer Bringsjord:
Small Steps toward Hypercomputation via Infinitary Machine Proof Verification and Proof Generation. UCNC 2013: 102-112 - 2011
- [c1]John Licato, Selmer Bringsjord:
In Defense of the Neo-Piagetian Approach to Modeling and Engineering Human-Level Cognitive Systems. AAAI Fall Symposium: Advances in Cognitive Systems 2011
Coauthor Index
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last updated on 2023-03-17 21:05 CET by the dblp team
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