Research output per year
Research output per year
Organization profile
Organization profile
The Foundations of AI institute (FONDofAI) includes a community of researchers working on foundational issues of artificial intelligence and autonomous systems, as well as deploying and implementing safe and responsible AI solutions in the real world. Our research covers a wide range of topics, including Planning and Search, Reasoning and Decision-making under Uncertainty, Theoretical and Applied Machine Learning, Multi Agent Systems, Neuro-symbolic AI, and Human-in-the loop AI.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Ronen Brafman
- Institute for the Foundations of AI - Full Professor
- Statistics and Data Analysis Program - Member
Person: Academic
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Ariel Felner
- Institute for the Foundations of AI - Full Professor
- Faculty of Computer and Information Science - Deputy Dean
Person: Academic, Administrative
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Kobi Gal
- Institute for the Foundations of AI - Full Professor, Institute Director
- Statistics and Data Analysis Program - Member
- School of Brain Sciences and Cognition - Member
Person: Academic, Administrative
Research output
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Bridging theory and practice in bidirectional heuristic search with front-to-end consistent heuristics
Siag, L. & Shperberg, S. S., 1 Nov 2025, In: Artificial Intelligence. 348, 104420.Research output: Contribution to journal › Article › peer-review
Open Access -
Active regression by stratification
Sabato, S. & Munos, R., 1 Jan 2014, In: Advances in Neural Information Processing Systems. 1, January, p. 469-477 9 p.Research output: Contribution to journal › Conference article › peer-review
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Partial domain search tree for constraint-satisfaction problems
Sharon, G., Felner, A., Stern, R. & Sturtevant, N., 1 Jan 2013, Late-Breaking Developments in the Field of Artificial Intelligence - Papers Presented at the 27th AAAI Conference on Artificial Intelligence, Technical Report. AI Access Foundation, p. 125-127 3 p. (AAAI Workshop - Technical Report; vol. WS-13-17).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Projects
- 1 Active
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Efficient Bi- and Multi-Objective Search Algorithms
Felner, A. (PI), Salzman, O. (CoPI), Koenig, S. (CoPI) & Thittamaranahalli, S. S. (CoPI)
United States-Israel Binational Science Foundation (BSF)
1/01/21 → …
Project: Research