--- title: "Who cites STRIPS: A new approach to the — 102 citing papers" description: "102 papers of the Elamur Research library cite «STRIPS: A new approach to the application of theorem proving to problem solving», found in their…" canonical: "https://research.elamur.ai/free/en/papers/fikes-1971-strips-new-approach-application-theorem/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/fikes-1971-strips-new-approach-application-theorem/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [STRIPS: A new approach to the application of…](https://md.research.elamur.ai/free/en/papers/fikes-1971-strips-new-approach-application-theorem/) / cited by # Who cites «STRIPS: A new approach to the application of theorem proving to problem solving» 102 papers of our library cite it (of the 149,439 whose bibliographies we read) · 14 with a page here, the most cited first · [← back to «STRIPS: A new approach to the application of theorem proving to problem solving»](https://md.research.elamur.ai/free/en/papers/fikes-1971-strips-new-approach-application-theorem/) 1. [**Relational inductive biases, deep learning, and graph networks arXiv:1806.01261**Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, et al.*2018 · 2,335 citations*](https://md.research.elamur.ai/free/en/papers/battaglia-2018-relational-inductive-biases-deep-learning/) 2. **[The Rise and Potential of Large Language Model Based Agents: A Survey](https://md.research.elamur.ai/free/en/papers/xi-2023-rise-potential-large-language/) [Science China Information Sciences](https://md.research.elamur.ai/free/en/venues/science-china-information-sciences/)**Zhiheng Xi, Wenxiang Chen, Xin Guo, et al.*2023 · 1,272 citations* 3. [**Do As I Can, Not As I Say: Grounding Language in Robotic Affordances arXiv:2204.01691**Michael Ahn, Anthony Brohan, Noah Brown, et al.*2022 · 941 citations*](https://md.research.elamur.ai/free/en/papers/ahn-2022-i-i-say-grounding-language/) 4. [**ProgPrompt: Generating Situated Robot Task Plans using Large Language Models arXiv:2209.11302**Ishika Singh, Valts Blukis, Arsalan Mousavian, et al.*2022 · 735 citations*](https://md.research.elamur.ai/free/en/papers/singh-2022-progprompt-generating-situated-robot-task/) 5. **[TextWorld: A Learning Environment for Text-based Games](https://md.research.elamur.ai/free/en/papers/cote-2018-textworld-learning-environment-text-based/) [Communications in computer and information science](https://md.research.elamur.ai/free/en/venues/communications-in-computer-and-information-science/)**Marc-Alexandre Cote, Akos Kadar, Xingdi Yuan, et al.*2018 · 339 citations* 6. [**LLM+P: Empowering Large Language Models with Optimal Planning Proficiency arXiv:2304.11477**Bo Liu, Yuqian Jiang, Xiaohan Zhang, et al.*2023 · 216 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-llm-p-empowering-large-language/) 7. **[A Collaborative Planning Model of Intentional Structure](https://md.research.elamur.ai/free/en/papers/lochbaum-1998-collaborative-planning-model-intentional-structure/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Karen E. Lochbaum*1998 · 214 citations* 8. **[Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning](https://md.research.elamur.ai/free/en/papers/guan-2023-leveraging-pre-trained-large-language/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Lin Guan, Karthik Valmeekam, Sarath Sreedharan, et al.*2023 · 115 citations* 9. **[Multi-Step Reasoning with Large Language Models, a Survey](https://md.research.elamur.ai/free/en/papers/plaat-2024-multi-step-reasoning-large-language/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Aske Plaat, Annie Wong, Suzan Verberne, et al.*2024 · 106 citations* 10. **[A Plan-Based Analysis of Indirect Speech Act](https://md.research.elamur.ai/free/en/papers/perrault-1980-plan-based-analysis-indirect-speech/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**C. Raymond Perrault*1980 · 44 citations* 11. [**Dynamic Planning with a LLM arXiv:2308.06391**Gautier Dagan, Frank Keller, Alex Lascarides*2023 · 25 citations*](https://md.research.elamur.ai/free/en/papers/dagan-2023-dynamic-planning-llm/) 12. **[Conversational Implicatures in Indirect Replies](https://md.research.elamur.ai/free/en/papers/green-1992-conversational-implicatures-indirect-replies/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Nancy Green, Sandra Carberry*1992 · 23 citations* 13. **[How to change a person's mind: Understanding the difference between the effects and consequences of speech acts](https://md.research.elamur.ai/free/en/papers/field-2006-how-change-person-s-mind/) [International Workshop on Inference in Computational Semantics](https://md.research.elamur.ai/free/en/venues/international-workshop-on-inference-in-computational-semantics/)**Debora Field, Allan Ramsay*2006 · 4 citations* 14. **[On Trying to Do Things with Words Another plan-based approach to speech act interpretation](https://md.research.elamur.ai/free/en/papers/hubmann-1990-trying-do-things-words-another/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Michael J. HuBmann, Heinz Genzmann*1990 · 3 citations* 88 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/fikes-1971-strips-new-approach-application-theorem/) — STRIPS: A new approach to the application of theorem proving to problem solving