Irina Rabkina

According to our database, Irina Rabkina authored at least 16 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Human-Like Learning of Social Reasoning via Analogy.

Irina Rabkina

Proceedings of the AAAI 2024 Spring Symposium Series, 2024

2022

An Analogical Model of Pretense.

Irina Rabkina, Kenneth D. Forbus

Cogn. Sci., 2022

Efficient and Effortful Theory of Mind Reasoning in the AToM Cognitive Model.

Irina Rabkina, Clifton James McFate

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021

Evaluation of Goal Recognition Systems on Unreliable Data and Uninspectable Agents.

Irina Rabkina, Pavan Kantharaju, Jason R. Wilson, Mark Roberts, Laura M. Hiatt

Frontiers Artif. Intell., 2021

Should Agents Have Two Systems to Track Beliefs and Belief-Like States?

Irina Rabkina, Clifton James McFate

Proceedings of the Computational Theory of Mind for Human-Machine Teams, 2021

2020

A Knowledge Driven Approach to Adaptive Assistance Using Preference Reasoning and Explanation.

Jason R. Wilson, Leilani Gilpin, Irina Rabkina

CoRR, 2020

Creative Captioning: An AI Grand Challenge Based on the Dixit Board Game.

Maithilee Kunda, Irina Rabkina

CoRR, 2020

Corrective Processes in Modeling Reference Resolution.

Constantine Nakos, Irina Rabkina, Samuel Hill, Kenneth D. Forbus

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019

Children's Sentential Complement Use Leads the Theory of Mind Development Period: Evidence from the CHILDES Corpus.

Irina Rabkina, Constantine Nakos, Kenneth D. Forbus

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Anticipatory Thinking in Multi-Agent Environments: The Role of Theory of Mind.

Irina Rabkina, Constantine Nakos, Kenneth D. Forbus

Proceedings of the Short Paper Proceedings of the Workshop on Cognitive Systems for Anticipatory Thinking (COGSAT 2019) co-located with the AAAI Fall Symposium 2019, 2019

Human-Like Sketch Object Recognition via Analogical Learning.

Kezhen Chen, Irina Rabkina, Matthew D. McLure, Kenneth D. Forbus

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Bootstrapping from Language in the Analogical Theory of Mind Model.

Irina Rabkina, Clifton James McFate, Kenneth D. Forbus

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017

Representation and Computation in Cognitive Models.

Kenneth D. Forbus, Chen Liang, Irina Rabkina

Top. Cogn. Sci., 2017

AToM: An Analogical Theory of Mind.

Irina Rabkina

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Towards a Domain-Independent Method for Evaluating and Scoring Analogical Inferences.

Joseph A. Blass, Irina Rabkina, Kenneth D. Forbus

Proceedings of ICCBR 2017 Workshops (CAW, 2017

Towards an Analogical Theory of Mind.

Irina Rabkina, Clifton James McFate, Kenneth D. Forbus, Christian Hoyos

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017