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Methodology
← Core AI
Artificial Intelligence
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Core AI
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Reasoning
2595 directly classified papers
Papers per year
2003: 2
2006: 2
2007: 6
2008: 4
2009: 4
2010: 7
2011: 7
2012: 10
2013: 17
2014: 18
2015: 14
2016: 9
2017: 42
2018: 62
2019: 121
2020: 131
2021: 187
2022: 280
2023: 299
2024: 537
2025: 832
2026: 4
Papers
Apparently Irrational Choice as Optimal Sequential Decision Making
AAAI 2021
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision
AAAI 2021
Passive learning of Timed Automata from logs (Student Abstract)
AAAI 2021
RL Generalization in a Theory of Mind Game Through a Sleep Metaphor (Student Abstract)
AAAI 2021
Neuro-Symbolic Techniques for Description Logic Reasoning (Student Abstract)
AAAI 2021
A Semantic Parsing and Reasoning-Based Approach to Knowledge Base Question Answering
AAAI 2021
The Active Sensing Testbed
AAAI 2021
Textgraphs-15 Shared Task System Description : Multi-Hop Inference Explanation Regeneration by Matching Expert Ratings
NAACL 2021
Learning Generalized Relational Heuristic Networks for Model-Agnostic Planning
AAAI 2021
Learning Implicitly with Noisy Data in Linear Arithmetic
IJCAI 2021
Computing Optimal Hypertree Decompositions with SAT
IJCAI 2021
Choice Logics and Their Computational Properties
IJCAI 2021
Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks
AAAI 2021
Inferring Time-delayed Causal Relations in POMDPs from the Principle of Independence of Cause and Mechanism
IJCAI 2021
Parameterised Resource-Bounded ATL
AAAI 2020
Learning Directional Sentence-Pair Embedding for Natural Language Reasoning (Student Abstract)
AAAI 2020
Hierarchical Average Reward Policy Gradient Algorithms (Student Abstract)
AAAI 2020
Metareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations
AAAI 2020
FastLAS: Scalable Inductive Logic Programming Incorporating Domain-Specific Optimisation Criteria
AAAI 2020
Proportional Belief Merging
AAAI 2020
Learning and Reasoning for Robot Sequential Decision Making under Uncertainty
AAAI 2020
Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational Reasoning
AAAI 2020
Theory-Based Causal Transfer:Integrating Instance-Level Induction and Abstract-Level Structure Learning
AAAI 2020
Iteratively Questioning and Answering for Interpretable Legal Judgment Prediction
AAAI 2020
Learning to Simulate Complex Physics with Graph Networks
ICML 2020
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