Modeling Visual Problem Solving as Analogical Reasoning

By A. Lovett, Kenneth D. Forbus. 2017

130 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Developmental and Educational Psychology, Experimental and Cognitive Psychology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Christopher Kanan
2. Tyler L. Hayes
3. Felix Hill
4. Song-Chun Zhu
5. Adam Santoro
6. Yoshua Bengio
7. Christopher D. Manning
8. Timothy P. Lillicrap

In Developmental and Educational Psychology

1. Timothy P. Lillicrap
2. Jun Liu
3. Feng Gao
4. Song-Chun Zhu
5. Felix Hill
6. Li Xu
7. Baoxiong Jia
8. Yixin Zhu

In Experimental and Cognitive Psychology

1. Feng Gao
2. Song-Chun Zhu
3. Felix Hill
4. Timothy P. Lillicrap
5. Baoxiong Jia
6. Yixin Zhu
7. Adam Santoro
8. Ari S. Morcos

Citations in the corpus

• Measuring abstract reasoning in neural networks (2018, methodology): “Various computational models for solving RPMs have been proposed in the cognitive science literature (see (Lovett & Forbus, 2017) for a thorough review).”
• Learning to Make Analogies by Contrasting Abstract Relational Structure (2019, background): “The ability to make analogies – that is, to flexibly map familiar relations from one domain of experience to another – is a fundamental ingredient of human intelligence and creativity (Gentner, 1983; Hofstadter, 1996; Hummel & Holyoak, 1997; Lovett & Forbus, 2017).”
• RAVEN: A Dataset for Relational and Analogical Visual REasoNing (2019, methodology): “However, an oversimplified assumption was usually made in the experiments that the computer programs had access to a symbolic representation of the image and the operations of rules [7, 32, 33, 34].”
• Experts Collaboration Learning for Continual Multi-Modal Reasoning (2023, background): “g, analogical reasoning [3], [4]) lies at the core of the high-level”
• Selective Replay Enhances Learning in Online Continual Analogical Reasoning (2021, background): “One of the characteristics of human intelligence that distinguishes us over other animals is our ability to perform analogical reasoning [27, 30, 55].”
• Stratified Rule-Aware Network for Abstract Visual Reasoning (2020, unknown): “Computational models for RPM in the cognitive science community access symbolic representations of the images (Carpenter, Just, and Shell 1990; Lovett and Forbus 2017; Lovett, Forbus, and Usher 2010; Lovett et al. 2010).”