PRODIGY: an integrated architecture for planning and learning

By Jaime G. Carbonell, Oren Etzioni, Yolanda Gil, R. Joseph, Craig A. Knoblock, Steven Minton, Manuela M. Veloso. 1991

How researchers see this paper

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

1. Shibo Hao
2. Lars Kotthoff
3. Daisy Zhe Wang
4. Yi Gu
5. Zhen Wang
6. Haodi Ma
7. J. Hong
8. Zhiting Hu

Citations in the corpus

• Reasoning with Language Model is Planning with World Model (2023, background): “Classical planning methods have been widely adopted in robots and embodied environments [9, 42, 8, 61, 26].”
• Algorithm Selection for Combinatorial Search Problems: A Survey (2012, methodology): “…variables (Epstein & Freuder, 2001), the algorithms in the portfolio themselves (Hough & Williams, 2006) or the domain of the problem to be solved (Carbonell et al., 1991), Gerevini et al. (2009) rely on the problem domain as the only problem-specific feature and select based on past performance…”
• Toward an Architecture for Never-Ending Language Learning (2010, unknown): “AI has a long history of research on autonomous agents, problem solving, and learning, e.g., SOAR (Laird, Newell, and Rosenbloom 1987), PRODIGY (Carbonell et al. 1991), EURISKO (Lenat 1983), ACT-R (Anderson et al. 2004), and ICARUS (Langley et al. 1991).”