Papers

7

Total Citations

515

H-Index

4

About

Moshe Tennenholtz is a pioneer in the intersection of artificial intelligence, multi-agent systems, and game theory, with a foundational focus on designing social laws for artificial societies. His most influential work, "On social laws for artificial agent societies: off-line design" (1995, 467 citations), introduced the concept of pre-coordinating agent behavior through formal, off-line social laws—rules that guarantee successful coexistence without requiring real-time negotiation. This groundbreaking approach has shaped how researchers think about coordination in computational environments. Tennenholtz further advanced the field with "Minimal social laws" (1998), exploring how to synthesize the simplest possible legal frameworks for multi-agent systems. His early work on traffic laws for mobile robots (1992) applied these principles to physical robotics, demonstrating how artificial social systems can govern navigation and collision avoidance. Notably, his research bridges theoretical computer science and practical AI, offering algorithms for automatic law synthesis in grid-like environments. With over 500 citations across his key papers, Tennenholtz’s contributions remain essential reading for anyone studying multi-agent coordination, mechanism design, or the foundations of artificial social systems.

Research Focus

Key Achievements

4
H-Index
7
Papers
515
Total Citations
74
Avg Citations/Paper
🏆 Most Cited Paper
On social laws for artificial agent societies: off-line design
467 citations · 1995
📈 Most Prolific Year: 1992 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Stanford University, Technion – Israel Institute of Technology

Top Papers

  1. 1
  2. 2
    Minimal social laws
    19 citations · 1998
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  7. 7

Key Collaborators

Contact & Links

Available for collaboration
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