2009 |
114 | EE | Dov Monderer,
Moshe Tennenholtz:
Strong mediated equilibrium.
Artif. Intell. 173(1): 180-195 (2009) |
2008 |
113 | EE | Moshe Tennenholtz:
Game-theoretic recommendations: some progress in an uphill battle.
AAMAS (1) 2008: 10-16 |
112 | EE | Alon Altman,
Moshe Tennenholtz:
Strategyproof deterministic lotteries under broadcast communication.
AAMAS (3) 2008: 1549-1552 |
111 | EE | Michal Penn,
Maria Polukarov,
Moshe Tennenholtz:
Asynchronous congestion games.
AAMAS (3) 2008: 1605-1608 |
110 | EE | Danny Kuminov,
Moshe Tennenholtz:
As Safe As It Gets: Near-Optimal Learning in Multi-Stage Games with Imperfect Monitoring.
ECAI 2008: 438-442 |
109 | EE | Itai Ashlagi,
Piotr Krysta,
Moshe Tennenholtz:
Social Context Games.
WINE 2008: 675-683 |
108 | EE | Reid Andersen,
Christian Borgs,
Jennifer T. Chayes,
Uriel Feige,
Abraham D. Flaxman,
Adam Kalai,
Vahab S. Mirrokni,
Moshe Tennenholtz:
Trust-based recommendation systems: an axiomatic approach.
WWW 2008: 199-208 |
107 | EE | Ryan Porter,
Amir Ronen,
Yoav Shoham,
Moshe Tennenholtz:
Fault tolerant mechanism design.
Artif. Intell. 172(15): 1783-1799 (2008) |
2007 |
106 | | Peter Cramton,
Rudolf Müller,
Éva Tardos,
Moshe Tennenholtz:
Computational Social Systems and the Internet, 1.7. - 6.7.2007
Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany 2007 |
105 | | Itai Ashlagi,
Dov Monderer,
Moshe Tennenholtz:
Learning Equilibrium in Resource Selection Games.
AAAI 2007: 18-23 |
104 | | Roy Fox,
Moshe Tennenholtz:
A Reinforcement Learning Algorithm with Polynomial Interaction Complexity for Only-Costly-Observable MDPs.
AAAI 2007: 553-558 |
103 | EE | Itai Ashlagi,
Dov Monderer,
Moshe Tennenholtz:
Routing games with an unknown set of active players.
AAMAS 2007: 195 |
102 | EE | Alon Altman,
Moshe Tennenholtz:
Incentive compatible ranking systems.
AAMAS 2007: 84 |
101 | EE | Michal Penn,
Maria Polukarov,
Moshe Tennenholtz:
Congestion games with load-dependent failures: identical resources.
ACM Conference on Electronic Commerce 2007: 210-217 |
100 | EE | Itai Ashlagi,
Dov Monderer,
Moshe Tennenholtz:
Mediators in position auctions.
ACM Conference on Electronic Commerce 2007: 279-287 |
99 | EE | Peter Cramton,
Rudolf Müller,
Éva Tardos,
Moshe Tennenholtz:
07271 Abstracts Collection - Computational Social Systems and the Internet .
Computational Social Systems and the Internet 2007 |
98 | EE | Peter Cramton,
Rudolf Müller,
Éva Tardos,
Moshe Tennenholtz:
07271 Summary - Computational Social Systems and the Internet.
Computational Social Systems and the Internet 2007 |
97 | EE | Alon Altman,
Moshe Tennenholtz:
An Axiomatic Approach to Personalized Ranking Systems.
Computational Social Systems and the Internet 2007 |
96 | EE | Alon Altman,
Moshe Tennenholtz:
An Axiomatic Approach to Personalized Ranking Systems.
IJCAI 2007: 1187-1192 |
95 | EE | Ola Rozenfeld,
Moshe Tennenholtz:
Routing Mediators.
IJCAI 2007: 1488-1493 |
94 | EE | Danny Kuminov,
Moshe Tennenholtz:
Competitive Safety Strategies in Position Auctions.
WINE 2007: 108-118 |
93 | EE | Ola Rozenfeld,
Moshe Tennenholtz:
Group Dominant Strategies.
WINE 2007: 457-468 |
92 | EE | Itai Ashlagi,
Andrey Klinger,
Moshe Tennenholtz:
K-NCC: Stability Against Group Deviations in Non-cooperative Computation.
WINE 2007: 564-569 |
91 | EE | Dov Monderer,
Moshe Tennenholtz:
Learning equilibrium as a generalization of learning to optimize.
Artif. Intell. 171(7): 448-452 (2007) |
90 | EE | Moshe Tennenholtz:
Ex-post equilibria in combinatorial auctions.
SIGecom Exchanges 7(1): 43-44 (2007) |
2006 |
89 | | Alon Altman,
Moshe Tennenholtz:
Quantifying Incentive Compatibility of Ranking Systems.
AAAI 2006 |
88 | | Dov Monderer,
Moshe Tennenholtz:
Strong Mediated Equilibrium.
AAAI 2006 |
87 | EE | Itai Ashlagi,
Dov Monderer,
Moshe Tennenholtz:
Resource selection games with unknown number of players.
AAMAS 2006: 819-825 |
86 | EE | Alon Altman,
Avivit Bercovici-Boden,
Moshe Tennenholtz:
Learning in One-Shot Strategic Form Games.
ECML 2006: 6-17 |
85 | EE | Itai Ashlagi,
Moshe Tennenholtz,
Dov Monderer:
Robust Learning Equilibrium.
UAI 2006 |
84 | EE | Ola Rozenfeld,
Moshe Tennenholtz:
Strong and Correlated Strong Equilibria in Monotone Congestion Games.
WINE 2006: 74-86 |
2005 |
83 | | Ronen I. Brafman,
Moshe Tennenholtz:
Optimal Efficient Learning Equilibrium: Imperfect Monitoring in Symmetric Games.
AAAI 2005: 726-731 |
82 | EE | Alon Altman,
Moshe Tennenholtz:
Ranking systems: the PageRank axioms.
ACM Conference on Electronic Commerce 2005: 1-8 |
81 | EE | Michal Penn,
Maria Polukarov,
Moshe Tennenholtz:
Congestion games with failures.
ACM Conference on Electronic Commerce 2005: 259-268 |
80 | EE | Michal Penn,
Maria Polukarov,
Moshe Tennenholtz:
Congestion games with failures.
Computing and Markets 2005 |
79 | EE | Kevin Leyton-Brown,
Moshe Tennenholtz:
Local-Effect Games.
Computing and Markets 2005 |
78 | EE | Rann Smorodinsky,
Moshe Tennenholtz:
Overcoming Free Riding in Multi-Party Computations.
Computing and Markets 2005 |
77 | EE | Itai Ashlagi,
Dov Monderer,
Moshe Tennenholtz:
The Value of Correlation in Strategic Form Games.
Computing and Markets 2005 |
76 | EE | Alon Altman,
Moshe Tennenholtz:
On the Axiomatic Foundations of Ranking Systems.
IJCAI 2005: 917-922 |
75 | EE | Gal Bahar,
Moshe Tennenholtz:
Sequential-Simultaneous Information Elicitation in Multi-Agent Systems.
IJCAI 2005: 923-928 |
74 | EE | Itai Ashlagi,
Dov Monderer,
Moshe Tennenholtz:
On the Value of Correlation.
UAI 2005: 34-41 |
73 | EE | Yoav Shoham,
Moshe Tennenholtz:
Non-cooperative computation: Boolean functions with correctness and exclusivity.
Theor. Comput. Sci. 343(1-2): 97-113 (2005) |
2004 |
72 | EE | Moshe Tennenholtz:
Transitive voting.
ACM Conference on Electronic Commerce 2004: 230-231 |
71 | EE | Yoav Shoham,
Moshe Tennenholtz:
Behavorial mechanism design as an online marketing tool.
ACM Conference on Electronic Commerce 2004: 246-247 |
70 | EE | Rann Smorodinsky,
Moshe Tennenholtz:
Sequential Information Elicitation in Multi-Agent Systems.
UAI 2004: 528-535 |
69 | EE | Moshe Tennenholtz:
Reputation Systems: An Axiomatic Approach.
UAI 2004: 544-551 |
68 | EE | Ronen I. Brafman,
Moshe Tennenholtz:
Efficient learning equilibrium.
Artif. Intell. 159(1-2): 27-47 (2004) |
67 | EE | Dov Monderer,
Moshe Tennenholtz:
K-Implementation.
J. Artif. Intell. Res. (JAIR) 21: 37-62 (2004) |
2003 |
66 | | Joseph Y. Halpern,
Moshe Tennenholtz:
Proceedings of the 9th Conference on Theoretical Aspects of Rationality and Knowledge (TARK-2003), Bloomington, Indiana, USA, June 20-22, 2003
ACM 2003 |
65 | EE | Dov Monderer,
Moshe Tennenholtz:
k-Implementation.
ACM Conference on Electronic Commerce 2003: 19-28 |
64 | | Kevin Leyton-Brown,
Moshe Tennenholtz:
Local-Effect Games.
IJCAI 2003: 772-780 |
63 | EE | Ronen I. Brafman,
Moshe Tennenholtz:
Learning to Coordinate Efficiently: A Model-based Approach.
J. Artif. Intell. Res. (JAIR) 19: 11-23 (2003) |
2002 |
62 | | Kevin Leyton-Brown,
Yoav Shoham,
Moshe Tennenholtz:
Bidding Clubs in First-Price Auctions.
AAAI/IAAI 2002: 373-378 |
61 | | Moshe Tennenholtz:
Competitive Safety Analysis.
AAAI/IAAI 2002: 404- |
60 | EE | Moshe Tennenholtz:
Game Theory and Artificial Intelligence.
Foundations and Applications of Multi-Agent Systems 2002: 49-58 |
59 | EE | Ronen I. Brafman,
Moshe Tennenholtz:
Efficient Learning Equilibrium.
NIPS 2002: 1603-1610 |
58 | | Ryan Porter,
Amir Ronen,
Yoav Shoham,
Moshe Tennenholtz:
Mechanism Design with Execution Uncertainty.
UAI 2002: 414-421 |
57 | EE | Moshe Tennenholtz:
Tractable combinatorial auctions and b-matching.
Artif. Intell. 140(1/2): 231-243 (2002) |
56 | | Aviv Bergman,
Moshe Tennenholtz:
On the Natural Selection of Market Choice.
Autonomous Agents and Multi-Agent Systems 5(4): 387-395 (2002) |
55 | EE | Ron Holzman,
Noa E. Kfir-Dahav,
Dov Monderer,
Moshe Tennenholtz:
Bundling Equilibrium in Combinatorial auctions
CoRR cs.GT/0201010: (2002) |
54 | EE | Kevin Leyton-Brown,
Yoav Shoham,
Moshe Tennenholtz:
Bidding Clubs in First-Price Auctions
CoRR cs.GT/0201017: (2002) |
53 | EE | Moshe Tennenholtz:
Competitive Safety Analysis: Robust Decision-Making in Multi-Agent Systems.
J. Artif. Intell. Res. (JAIR) 17: 363-37 (2002) |
52 | EE | Ronen I. Brafman,
Moshe Tennenholtz:
R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning.
Journal of Machine Learning Research 3: 213-231 (2002) |
2001 |
51 | | Moshe Tennenholtz:
Rational Competitive Analysis.
IJCAI 2001: 1067-1072 |
50 | | Yoav Shoham,
Moshe Tennenholtz:
Fair Imposition.
IJCAI 2001: 1083-1088 |
49 | | Ronen I. Brafman,
Moshe Tennenholtz:
R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning.
IJCAI 2001: 953-958 |
48 | EE | Moshe Tennenholtz:
Rational Competitive Analysis
CoRR cs.AI/0112015: (2001) |
2000 |
47 | | Kevin Leyton-Brown,
Yoav Shoham,
Moshe Tennenholtz:
An Algorithm for Multi-Unit Combinatorial Auctions.
AAAI/IAAI 2000: 56-61 |
46 | | Moshe Tennenholtz:
Some Tractable Combinatorial Auctions.
AAAI/IAAI 2000: 98-103 |
45 | EE | Kevin Leyton-Brown,
Yoav Shoham,
Moshe Tennenholtz:
Bidding clubs: institutionalized collusion in auctions.
ACM Conference on Electronic Commerce 2000: 253-259 |
44 | EE | Noa E. Kfir-Dahav,
Dov Monderer,
Moshe Tennenholtz:
Mechanism Design for Resource Bounded Agents.
ICMAS 2000: 309-316 |
43 | EE | David Fitoussi,
Moshe Tennenholtz:
Choosing social laws for multi-agent systems: Minimality and simplicity.
Artif. Intell. 119(1-2): 61-101 (2000) |
42 | EE | Dov Monderer,
Moshe Tennenholtz:
Optimal auctions revisited.
Artif. Intell. 120(1): 29-42 (2000) |
41 | EE | Ronen I. Brafman,
Moshe Tennenholtz:
A near-optimal polynomial time algorithm for learning in certain classes of stochastic games.
Artif. Intell. 121(1-2): 31-47 (2000) |
40 | EE | Michal Penn,
Moshe Tennenholtz:
Constrained multi-object auctions and b-matching.
Inf. Process. Lett. 75(1-2): 29-34 (2000) |
39 | EE | Ronen I. Brafman,
Moshe Tennenholtz:
An axiomatic treatment of three qualitative decision criteria.
J. ACM 47(3): 452-482 (2000) |
1999 |
38 | | Dov Monderer,
Moshe Tennenholtz:
Distributed Games: From Mechanisms to Protocols.
AAAI/IAAI 1999: 32-37 |
37 | | Moshe Tennenholtz:
Electronic Commerce: From Economic and Game-Theoretic Models to Working Protocols.
IJCAI 1999: 1420-1428 |
36 | | Ronen I. Brafman,
Moshe Tennenholtz:
A Near-Optimal Poly-Time Algorithm for Learning a class of Stochastic Games.
IJCAI 1999: 734-739 |
35 | | Dov Monderer,
Moshe Tennenholtz:
Dynamic Non-Bayesian Decision Making in Multi-Agent Systems.
Ann. Math. Artif. Intell. 25(1-2): 91-106 (1999) |
1998 |
34 | | David Fitoussi,
Moshe Tennenholtz:
Minimal Social Laws.
AAAI/IAAI 1998: 26-31 |
33 | | Dov Monderer,
Moshe Tennenholtz:
Optimal Auctions Revisited.
AAAI/IAAI 1998: 32-37 |
32 | | Dov Monderer,
Moshe Tennenholtz:
Distributed Games.
TARK 1998: 279-292 |
31 | EE | Moshe Tennenholtz:
On Stable Social Laws and Qualitative Equilibria.
Artif. Intell. 102(1): 1-20 (1998) |
1997 |
30 | | Ronen I. Brafman,
Moshe Tennenholtz:
On the Axiomatization of Qualitative Decision Criteria.
AAAI/IAAI 1997: 76-81 |
29 | EE | Moshe Tennenholtz:
On Stable Multi-Agent Behavior in Face of Uncertainty.
UAI 1997: 445-452 |
28 | EE | Yoav Shoham,
Moshe Tennenholtz:
On the Emergence of Social Conventions: Modeling, Analysis, and Simulations.
Artif. Intell. 94(1-2): 139-166 (1997) |
27 | EE | Ronen I. Brafman,
Moshe Tennenholtz:
Modeling Agents as Qualitative Decision Makers.
Artif. Intell. 94(1-2): 217-268 (1997) |
26 | EE | Shmuel Onn,
Moshe Tennenholtz:
Determination of Social Laws for Multi-Agent Mobilization.
Artif. Intell. 95(1): 155-167 (1997) |
25 | EE | Dov Monderer,
Moshe Tennenholtz:
Dynamic Non-Bayesian Decision Making
CoRR cs.AI/9711104: (1997) |
24 | | Ori Ben-Yitzhak,
Moshe Tennenholtz:
On the Automatic Synthesis of Social Laws for Mobile Robots. A Study in Artificial Social Systems.
Computers and Artificial Intelligence 16(4): (1997) |
23 | | Ori Ben-Yitzhak,
Moshe Tennenholtz:
On the Automatic Synthesis of Social Laws for Mobile Robots. A Study in Artificial Social Systems. Part 2: Analysis and Discussion.
Computers and Artificial Intelligence 16(5): (1997) |
22 | | Dov Monderer,
Moshe Tennenholtz:
Dynamic Non-Bayesian Decision Making.
J. Artif. Intell. Res. (JAIR) 7: 231-248 (1997) |
21 | | Moshe Tennenholtz:
On planning while Executing in stationary environments.
J. Exp. Theor. Artif. Intell. 9(1): 37-50 (1997) |
1996 |
20 | | Ronen I. Brafman,
Moshe Tennenholtz:
On the Foundations of Qualitative Decision Theory.
AAAI/IAAI, Vol. 2 1996: 1291-1296 |
19 | | Moshe Tennenholtz:
On Stable Social Laws and Qualitative Equilibrium for Risk-Averse Agents.
KR 1996: 553-561 |
18 | | Noa E. Kfir-Dahav,
Moshe Tennenholtz:
Multi-Agent Belief Revision.
TARK 1996: 175-194 |
17 | EE | Yoram Moses,
Moshe Tennenholtz:
Off-Line Reasoning for On-Line Efficiency: Knowledge Bases.
Artif. Intell. 83(2): 229-239 (1996) |
16 | EE | Ronen I. Brafman,
Moshe Tennenholtz:
On Partially Controlled Multi-Agent Systems
CoRR cs.AI/9606102: (1996) |
15 | | Ronen I. Brafman,
Moshe Tennenholtz:
On Partially Controlled Multi-Agent Systems.
J. Artif. Intell. Res. (JAIR) 4: 477-507 (1996) |
1995 |
14 | | Amihai Motro,
Moshe Tennenholtz:
Next Generation Information Technologies and Systems (NGITS '95), Second International Workshop, Naharia, Israel, June 27-29, 1995
NGITS 1995 |
13 | | Ronen I. Brafman,
Moshe Tennenholtz:
Towards Action Prediction Using a Mental-Level Model.
IJCAI 1995: 2010-2016 |
12 | EE | Yoav Shoham,
Moshe Tennenholtz:
On Social Laws for Artificial Agent Societies: Off-Line Design.
Artif. Intell. 73(1-2): 231-252 (1995) |
11 | EE | Andrea Schaerf,
Yoav Shoham,
Moshe Tennenholtz:
Adaptive Load Balancing: A Study in Multi-Agent Learning
CoRR cs.AI/9505102: (1995) |
10 | | Yoram Moses,
Moshe Tennenholtz:
Artificial Social Systems.
Computers and Artificial Intelligence 14(6): (1995) |
9 | | Andrea Schaerf,
Yoav Shoham,
Moshe Tennenholtz:
Adaptive Load Balancing: A Study in Multi-Agent Learning.
J. Artif. Intell. Res. (JAIR) 2: 475-500 (1995) |
1994 |
8 | | Ronen I. Brafman,
Moshe Tennenholtz:
Belief Ascription and Mental-Level Modelling.
KR 1994: 87-98 |
7 | | Shmuel Safra,
Moshe Tennenholtz:
On Planning while Learning.
J. Artif. Intell. Res. (JAIR) 2: 111-129 (1994) |
1993 |
6 | | Yoram Moses,
Moshe Tennenholtz:
Off-line Reasoning for On-line Efficiency.
IJCAI 1993: 490-495 |
5 | | Yoram Moses,
Moshe Tennenholtz:
Multi-entity Models.
Machine Intelligence 14 1993: 65-90 |
1992 |
4 | | Yoav Shoham,
Moshe Tennenholtz:
On the Synthesis of Useful Social Laws for Artificial Agent Societies (Preliminary Report).
AAAI 1992: 276-281 |
3 | | Yoav Shoham,
Moshe Tennenholtz:
Emergent Conventions in Multi-Agent Systems: Initial Experimental Results and Observations (Preliminary Report).
KR 1992: 225-231 |
1989 |
2 | | Moshe Tennenholtz,
Yoram Moses:
On Cooperation in a Multi-Entity Model.
IJCAI 1989: 918-923 |
1988 |
1 | EE | Uriel Feige,
Adi Shamir,
Moshe Tennenholtz:
The Noisy Oracle Problem.
CRYPTO 1988: 284-296 |