Bio


Yoav Shoham is professor emeritus of computer science at Stanford University. A leading AI expert, Prof. Shoham is Fellow of AAAI, ACM and the Game Theory Society. Among his awards are the IJCAI Research Excellence Award, the AAAI/ACM Allen Newell Award, and the ACM/SIGAI Autonomous Agents Research Award. His online Game Theory course has been watched by close to a million people. Prof. Shoham has founded several AI companies, including TradingDynamics (acquired by Ariba), Katango and Timeful (both acquired by Google), and AI21 Labs. Prof. Shoham also chairs the AI Index initiative (www.AIindex.org), which tracks global AI activity and progress, and WeCode (www.wecode.org.il), a nonprofit initiative to train high-quality programmers from disadvantaged populations.

Academic Appointments


Honors & Awards


  • Research Excellence Award, IJCAI (2019)
  • Fellow, Game Theory Society (2018)
  • Feigenbaum Prize, AAAI (2017)
  • Allen Newell Award, AAAI/ACM (2013)
  • Fellow, ACM (2013)
  • Influential Paper Award, AAMAS (2011)
  • Best Paper Award, ACM Conference on Electronic Commerce (2010)
  • Best Paper Award, ACM Conference on Electronic Commerce (2009)
  • Autonomous Agents Research Award, ACM/SIGART (2008)
  • Charter member of the Game Theory Society, International Game Theory Society (2008)
  • Fellow, Association for the Advancement of Artificial Intelligence (2002)

Program Affiliations


  • Symbolic Systems Program

Professional Education


  • PhD, Yale (1986)

2023-24 Courses


All Publications


  • On equilibria in games with imperfect recall GAMES AND ECONOMIC BEHAVIOR Lambert, N. S., Marple, A., Shoham, Y. 2019; 113: 164–85
  • Toward the AI Index AI MAGAZINE Shoham, Y. 2017; 38 (4): 71–77
  • Why Knowledge Representation Matters COMMUNICATIONS OF THE ACM Shoham, Y. 2016; 59 (1): 47–49

    View details for DOI 10.1145/2803170

    View details for Web of Science ID 000367307300017

  • Communication MULTIAGENT SYSTEMS: ALGORITHMIC, GAME-THEORETIC, AND LOGICAL FOUNDATIONS Shoham, Y., Leyton-Brown, K., Shoham, Y., LeytonBrown, K. 2009: 223–39
  • A Distributed Agent for Computational Pool IEEE TRANSACTIONS ON COMPUTATIONAL INTELLIGENCE AND AI IN GAMES Archibald, C., Altman, A., Shoham, Y. 2016; 8 (2): 190-202
  • An axiomatic characterization of wagering mechanisms JOURNAL OF ECONOMIC THEORY Lambert, N. S., Langford, J., Vaughan, J. W., Chen, Y., Reeves, D. M., Shoham, Y., Pennock, D. M. 2015; 156: 389-416
  • Fair Seeding in Knockout Tournaments ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY Thuc Vu, T., Shoham, Y. 2012; 3 (1)
  • Designing competitions between teams of individuals ARTIFICIAL INTELLIGENCE Tang, P., Shoham, Y., Lin, F. 2010; 174 (11): 749-766
  • Computational Pool: A New Challenge for Game Theory Pragmatics AI MAGAZINE Archibald, C., Altman, A., Greenspan, M., Shoham, Y. 2010; 31 (4): 33-41
  • Multi-Agent Learning II: Algorithms. Encyclopedia of Machine Learning Shoham, Y., Powers, R. edited by Sammut, C., Webb, G. Springer. 2010
  • Multi-Agent Learning I: Problem Definition. Encyclopedia of Machine Learning Shoham, Y., Powers, R. edited by Sammut, C., Webb, G. Springer. 2010
  • Cause for Celebration, Cause for Concern. Heuristics, Probability and Causality: a Tribute to Judea Pearl Shoham, Y. edited by Dechter, R., Geffner, H., Halpern, J., Y. College Publications. 2010
  • Joint Revision of Belief and Intention. Icard, T., Pacuit, E., Shoham, Y. 2010
  • Untitled. Epistemic Logic: 5 Questions Shoham, Y. edited by Hendricks, V., F., Roy, O. Automatic Press / VIP. 2010
  • Logical Theories of Intention and the Database Perspective JOURNAL OF PHILOSOPHICAL LOGIC Shoham, Y. 2009; 38 (6): 633-647
  • Empirical Hardness Models: Methodology and a Case Study on Combinatorial Auctions JOURNAL OF THE ACM Leyton-Brown, K., Nudelman, E., Shoham, Y. 2009; 56 (4)
  • Ranking games ARTIFICIAL INTELLIGENCE Brandt, F., Fischer, F., Harrenstein, P., Shoham, Y. 2009; 173 (2): 221-239
  • Eliciting Truthful Answers to Multiple-Choice Questions Preliminary Report 10th ACM Conference on Electronic Commerce (EC-2009) Lambert, N., Shoham, Y. ASSOC COMPUTING MACHINERY. 2009: 109–118
  • Introduction to Noncooperative Game Theory: Games in Normal Form MULTIAGENT SYSTEMS: ALGORITHMIC, GAME-THEORETIC, AND LOGICAL FOUNDATIONS Shoham, Y., Leyton-Brown, K., Shoham, Y., LeytonBrown, K. 2009: 47–86
  • Classical Logic MULTIAGENT SYSTEMS: ALGORITHMIC, GAME-THEORETIC, AND LOGICAL FOUNDATIONS Shoham, Y., Leyton-Brown, K., Shoham, Y., LeytonBrown, K. 2009: 457–58
  • Computing Solution Concepts of Normal-Form Games MULTIAGENT SYSTEMS: ALGORITHMIC, GAME-THEORETIC, AND LOGICAL FOUNDATIONS Shoham, Y., Leyton-Brown, K., Shoham, Y., LeytonBrown, K. 2009: 87–112
  • Distributed Optimization MULTIAGENT SYSTEMS: ALGORITHMIC, GAME-THEORETIC, AND LOGICAL FOUNDATIONS Shoham, Y., Leyton-Brown, K., Shoham, Y., LeytonBrown, K. 2009: 19–45
  • Protocols for Multiagent Resource Allocation: Auctions MULTIAGENT SYSTEMS: ALGORITHMIC, GAME-THEORETIC, AND LOGICAL FOUNDATIONS Shoham, Y., Leyton-Brown, K., Shoham, Y., LeytonBrown, K. 2009: 315–65
  • Teams of Selfish Agents: An Introduction to Coalitional Game Theory MULTIAGENT SYSTEMS: ALGORITHMIC, GAME-THEORETIC, AND LOGICAL FOUNDATIONS Shoham, Y., Leyton-Brown, K., Shoham, Y., LeytonBrown, K. 2009: 367–91
  • Richer Representations: Beyond the Normal and Extensive Forms MULTIAGENT SYSTEMS: ALGORITHMIC, GAME-THEORETIC, AND LOGICAL FOUNDATIONS Shoham, Y., Leyton-Brown, K., Shoham, Y., LeytonBrown, K. 2009: 141–88
  • Aggregating Preferences: Social Choice MULTIAGENT SYSTEMS: ALGORITHMIC, GAME-THEORETIC, AND LOGICAL FOUNDATIONS Shoham, Y., Leyton-Brown, K., Shoham, Y., LeytonBrown, K. 2009: 241–59
  • Logics of Knowledge and Belief MULTIAGENT SYSTEMS: ALGORITHMIC, GAME-THEORETIC, AND LOGICAL FOUNDATIONS Shoham, Y., Leyton-Brown, K., Shoham, Y., LeytonBrown, K. 2009: 393–419
  • Beyond Belief: Probability, Dynamics, and Intention MULTIAGENT SYSTEMS: ALGORITHMIC, GAME-THEORETIC, AND LOGICAL FOUNDATIONS Shoham, Y., Leyton-Brown, K., Shoham, Y., LeytonBrown, K. 2009: 421–46
  • Multiagent Systems Algorithmic, Game-Theoretic, and Logical Foundations Introduction MULTIAGENT SYSTEMS: ALGORITHMIC, GAME-THEORETIC, AND LOGICAL FOUNDATIONS Shoham, Y., Leyton-Brown, K., Shoham, Y., LeytonBrown, K. 2009: XVII-+
  • Games with Sequential Actions: Reasoning and Computing with the Extensive Form MULTIAGENT SYSTEMS: ALGORITHMIC, GAME-THEORETIC, AND LOGICAL FOUNDATIONS Shoham, Y., Leyton-Brown, K., Shoham, Y., LeytonBrown, K. 2009: 113–39
  • Learning and Teaching MULTIAGENT SYSTEMS: ALGORITHMIC, GAME-THEORETIC, AND LOGICAL FOUNDATIONS Shoham, Y., Leyton-Brown, K., Shoham, Y., LeytonBrown, K. 2009: 189–222
  • Multiagent Systems: Algorithmic, Game Theoretic and Logical Foundation Shoham, Y., Leyton-Brown, K. Cambridge University Press. 2009
  • Analysis of a Winning Computational Billiards Player 21st International Joint Conference on Artificial Intelligence (IJCAI-09) Archibald, C., Altman, A., Shoham, Y. IJCAI-INT JOINT CONF ARTIF INTELL. 2009: 1377–1382
  • Distributed Constraint Satisfaction MULTIAGENT SYSTEMS: ALGORITHMIC, GAME-THEORETIC, AND LOGICAL FOUNDATIONS Shoham, Y., Leyton-Brown, K., Shoham, Y., LeytonBrown, K. 2009: 1–17
  • Probability Theory MULTIAGENT SYSTEMS: ALGORITHMIC, GAME-THEORETIC, AND LOGICAL FOUNDATIONS Shoham, Y., Leyton-Brown, K., Shoham, Y., LeytonBrown, K. 2009: 449–50
  • Linear and Integer Programming MULTIAGENT SYSTEMS: ALGORITHMIC, GAME-THEORETIC, AND LOGICAL FOUNDATIONS Shoham, Y., Leyton-Brown, K., Shoham, Y., LeytonBrown, K. 2009: 451–54
  • Protocols for Strategic Agents: Mechanism Design MULTIAGENT SYSTEMS: ALGORITHMIC, GAME-THEORETIC, AND LOGICAL FOUNDATIONS Shoham, Y., Leyton-Brown, K., Shoham, Y., LeytonBrown, K. 2009: 261–313
  • Markov Decision Problems (MDPs) MULTIAGENT SYSTEMS: ALGORITHMIC, GAME-THEORETIC, AND LOGICAL FOUNDATIONS Shoham, Y., Leyton-Brown, K., Shoham, Y., LeytonBrown, K. 2009: 455–56
  • Eliciting Properties of Probability Distributions: The Highlights SI GECOM EXCHANGES Lambert, N., Pennock, D. M., Shoham, Y. 2008; 7 (3)
  • Fault tolerant mechanism design ARTIFICIAL INTELLIGENCE Porter, R., Ronen, A., Shoham, Y., Tennenholtz, M. 2008; 172 (15): 1783-1799
  • Computer science and game theory COMMUNICATIONS OF THE ACM Shoham, Y. 2008; 51 (8): 74-79
  • Simple search methods for finding a Nash equilibrium 2nd World Congress of the Game-Theory-Society Porter, R., Nudelman, E., Shoham, Y. ACADEMIC PRESS INC ELSEVIER SCIENCE. 2008: 642–62
  • Truthful Surveys 4th International Workshop on Internet and Network Economics Lambert, N., Shoham, Y. SPRINGER-VERLAG BERLIN. 2008: 154–165
  • Essentials of Game Theory: A Concise, Multidisciplinary Introduction Leyton-Brown, K., Shoham, Y. Morgan Claypool Publishers. 2008
  • Eliciting Properties of Probability Distributions ACM Conference on Electronic Commerce Lambert, N., Pennock, D. M., Shoham, Y. ASSOC COMPUTING MACHINERY. 2008: 129–138
  • Self-Financed Wagering Mechanisms for Forecasting ACM Conference on Electronic Commerce Lambert, N., Langford, J., Wortman, J., Chen, Y., Reeves, D., Shoham, Y., Pennock, D. M. ASSOC COMPUTING MACHINERY. 2008: 170–179
  • Mechanism Design with Execution Uncertainty UAI-02. Porter, R., Ronen, A., Shoham, Y., Tennenholtz, M. 2008
  • If multi-agent learning is the answer, what is the question? ARTIFICIAL INTELLIGENCE Shoham, Y., Powers, R., Grenager, T. 2007; 171 (7): 365-377
  • A general criterion and an algorithmic framework for learning in multi-agent systems MACHINE LEARNING Powers, R., Shoham, Y., Vu, T. 2007; 67 (1-2): 45-76
  • The Israeli-Palestinian Science Organization SCIENCE Wiesel, T., Agre, P., Arrow, K. J., Atiyah, M., Brezin, E., Charfi, F. F., Cohen-Tannoudji, C., Daar, A., Jacob, F., Kahneman, D., Lee, Y. T., Nicolaisen, I., Nusseibeh, S., Reuter, H., Shoham, Y., Sulston, J., Walzer, M., Yaari, M. 2007; 315 (5808): 39-39

    View details for Web of Science ID 000243259100014

    View details for PubMedID 17204624

  • A Game-Theoretic Analysis of Strictly Competitive Multiagent Scenarios 20th International Joint Conference on Artificial Intelligence Brandt, F., Fischer, F., Harrenstein, P., Shoham, Y. IJCAI-INT JOINT CONF ARTIF INTELL. 2007: 1199–1206
  • Spiteful Bidding in Sealed-Bid Auctions 20th International Joint Conference on Artificial Intelligence Brandt, F., Sandholm, T., Shoham, Y. IJCAI-INT JOINT CONF ARTIF INTELL. 2007: 1207–1214
  • Combinatorial Auctions edited by Cramton, P., Shoham, Y., Steinberg, R. MIT Press. 2006
  • On strictly competitive multi-player games. Brandt, F., Fischer, F. 2006
  • Non-cooperative computation: Boolean functions with correctness and exclusivity THEORETICAL COMPUTER SCIENCE Shoham, Y., Tennenholtz, M. 2005; 343 (1-2): 97-113
  • On cheating in sealed-bid auctions 4th ACM Conference on Electronics Commerce (EC'03) Porter, R., Shoham, Y. ELSEVIER SCIENCE BV. 2005: 41–54
  • Learning against opponents with bounded memory 19th International Joint Conference on Artificial Intelligence (IJCAI 05) Powers, R., Shoham, Y. IJCAI-INT JOINT CONF ARTIF INTELL. 2005: 817–822
  • Fast and Compact: A Simple Class of Congestion Games AAAI-2005. Ieong, S., McGrew, R., Nudelman, E., Shoham, Y. 2005
  • New Criteria and a New Algorithm for Learning in Multi-Agent Systems. Powers, R., Shoham, Y. 2005
  • The structural basis of the thermostability of SP1, a novel plant (Populus tremula) boiling stable protein JOURNAL OF BIOLOGICAL CHEMISTRY Dgany, O., Gonzalez, A., Sofer, O., Wang, W. X., Zolotnitsky, G., Wolf, A., Shoham, Y., Altman, A., Wolf, S. G., Shoseyov, O., Almog, O. 2004; 279 (49): 51516-51523

    Abstract

    We previously reported on a new boiling stable protein isolated from aspen plants (Populus tremula), which we named SP1. SP1 is a stress-related protein with no significant sequence homology to other stress-related proteins. It is a 108-amino-acid hydrophilic polypeptide with a molecular mass of 12.4 kDa (Wang, W. X., Pelah, D., Alergand, T., Shoseyov, O., and Altman, A. (2002) Plant Physiol. 130, 865-875) and is found in an oligomeric form. Preliminary electron microscopy studies and matrix-assisted laser desorption ionization time-of-flight mass spectrometry experiments showed that SP1 is a dodecamer composed of two stacking hexamers. We performed a SDS-PAGE analysis, a differential scanning calorimetric study, and crystal structure determination to further characterize SP1. SDS-PAGE indicated a spontaneous assembly of SP1 to one stable oligomeric form, a dodecamer. Differential scanning calorimetric showed that SP1 has high thermostability i.e. Tm of 107 degrees C (at pH 7.8). The crystal structure of SP1 was initially determined to 2.4 A resolution by multi-wavelength anomalous dispersion method from a crystal belonging to the space group I422. The phases were extended to 1.8 A resolution using data from a different crystal form (P21). The final refined molecule includes 106 of the 108 residues and 132 water molecules (on average for each chain). The R-free is 20.1%. The crystal structure indicated that the SP1 molecule has a ferredoxin-like fold. Strong interactions between each two molecules create a stable dimer. Six dimers associate to form a ring-like-shaped dodecamer strongly resembling the particle visualized in the electron microscopy studies. No structural similarity was found between the crystal structure of SP1 and the crystal structure of other stress-related proteins such as small heat shock proteins, whose structure has been already determined. This structural study further supports our previous report that SP1 may represent a new family of stress-related proteins with high thermostability and oligomerization.

    View details for DOI 10.1074/jbc.M409952200

    View details for Web of Science ID 000225355800105

    View details for PubMedID 15371455

  • Fair imposition JOURNAL OF ECONOMIC THEORY Porter, R., Shoham, Y., Tennenholtz, M. 2004; 118 (2): 209-228
  • Using contracts to influence the outcome of a game 19th National Conference on Artificial Intelligence/16th Conference on Innovative Applications of Artificial Intelligence McGrew, R., Shoham, Y. ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE. 2004: 238–243
  • Addressing the Free-Rider Problem in File-Sharing Systems: A Mechanism-Design Approach McGrew, R., Shoham, Y. 2004
  • SATzilla: An Algorithm Portfolio for SAT In conjunction with SAT 2004. Nudelman, E., Devkar, A., Shoham, Y., Leyton-Brown, K., Hoos, H. 2004
  • Simple search methods for finding a Nash equilibrium 19th National Conference on Artificial Intelligence/16th Conference on Innovative Applications of Artificial Intelligence Porter, R., Nudelman, E., Shoham, Y. ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE. 2004: 664–669
  • Understanding random SAT: Beyond the clauses-to-variables ratio 10th International Conference on the Principles and Practice of Constraint Programming Nudelman, E., Leyton-Brown, K., Hoos, H. H., Devkar, A., Shoham, Y. SPRINGER-VERLAG BERLIN. 2004: 438–452
  • Incentive mechanisms for smoothing out a focused demand for network resources COMPUTER COMMUNICATIONS Leyton-Brown, K., Porter, R., Prabhakar, B., Shoham, Y., Venkataraman, S. 2003; 26 (3): 237-250
  • Boosting as a metaphor for algorithm design 9th International Conference on Principles and Practice of Constraint Programming Leyton-Brown, K., Nudelman, E., Andrew, G., McFadden, J., Shoham, Y. SPRINGER-VERLAG BERLIN. 2003: 899–903
  • Towards a General Theory of Non-Cooperative Computing. McGrew, R., Porter, R., Shoham, Y. 2003
  • On Cheating in Sealed-Bid Auctions. Porter, R., Shoham, Y. 2003
  • Truth revelation in approximately efficient combinatorial auctions JOURNAL OF THE ACM Lehmann, D., O'Callaghan, L. I., Shoham, Y. 2002; 49 (5): 577-602
  • Polynomial-time reinforcement learning of near-optimal policies 18th National Conference on Artificial Intelligence/14th Conference on Innovative Applications of Artificial Intelligence Pivazyan, K., Shoham, Y. M I T PRESS. 2002: 205–210
  • Smoothing Out Focused Demand for Network Resources Short version presented at the 2001 ACM Conference on Electronic Commerce (EC'01); also presented at ITCom 2001.  Full version to be published in ACM Computer Communications Review Leyton-Brown, K., Porter, R., Venkataraman, S., Prabhakar, B. 2002
  • Learning the Empirical Hardness of Optimization Problems: the case of combinatorial auctions In Constraint Programming. Leyton-Brown, K., Nudelman, E., Shoham, Y., Vetsikas, Y., Bejar, R., Gomes, C. 2002
  • Bidding clubs in first-price auctions 18th National Conference on Artificial Intelligence/14th Conference on Innovative Applications of Artificial Intelligence Leyton-Brown, K., Shoham, Y., Tennenholtz, M. M I T PRESS. 2002: 373–378
  • Dispersion games: General definitions and some specific learning results 18th National Conference on Artificial Intelligence/14th Conference on Innovative Applications of Artificial Intelligence Grenager, T., Powers, R., Shoham, Y. M I T PRESS. 2002: 398–403
  • On rational computability and communication complexity GAMES AND ECONOMIC BEHAVIOR Shoham, Y., Tennenholtz, M. 2001; 35 (1-2): 197-211
  • Rational Computation and the Communication Complexity of Auctions Games and Economic Behavior Shoham, Y., Tennenholtz, M. 2001; 35
  • An algorithm for multi-unit combinatorial auctions 17th National Conference on Artificial Intelligence (AAAI-2000)/12th Conference on Innovative Applications of Artificial Intelligence (IAAI-2000) Leyton-Brown, K., Shoham, Y., Tennenholtz, M. M I T PRESS. 2000: 56–61
  • Bidding Clubs: Institutionalized Collusion in Auctions. Leyton-Brown, K., Tennenholtz, M., Shoham, Y. 2000
  • Towards a Universal Test Suite for Combinatorial Auctions. Leyton-Brown, K., Pearson, M., Shoham, Y. 2000
  • Taming the computational complexity of combinatorial auctions: Optimal and approximate approaches 16th International Joint Conference on Artificial Intelligence (IJCAI 99) Fujishima, Y., Leyton-Brown, K., Shoham, Y. MORGAN KAUFMANN PUB INC. 1999: 548–553
  • Expected utility networks 15th Conference on Uncertainty in Artificial Intelligence La Mura, P., Shoham, Y. MORGAN KAUFMANN PUB INC. 1999: 366–373
  • Speeding up ascending-bid auctions 16th International Joint Conference on Artificial Intelligence (IJCAI 99) Fujishima, Y., McAdams, D., Shoham, Y. MORGAN KAUFMANN PUB INC. 1999: 554–559
  • On the knowledge requirements of tasks ARTIFICIAL INTELLIGENCE Brafman, R. I., Halpern, J. Y., Shoham, Y. 1998; 98 (1-2): 317-349
  • Reasoning about Change: Time and Causation from the Standpoint of Artificial Intelligence Shoham, Y. MIT Press. 1998
  • Conditional, Hierarchical Multi-Agent Preferences. Mura, P., La, Shoham, Y. 1998
  • From Belief Revision to Belief Fusion. Maynard-Reid II, P., Shoham, Y. 1998
  • Agent Oriented Programming. Reading in Agents Shoham, Y. edited by Huhns, M., N., Singh, M., P. Morgan-Kaufmann. 1998
  • Applications of a logic of knowledge to motion planning under uncertainty JOURNAL OF THE ACM Brafman, R. I., Latombe, J. C., Moses, Y., Shoham, Y. 1997; 44 (5): 633-668
  • Economic principles of multi-agent systems ARTIFICIAL INTELLIGENCE Boutilier, C., Shoham, Y., Wellman, M. P. 1997; 94 (1-2): 1-6
  • On the emergence of social conventions: Modeling, analysis, and simulations ARTIFICIAL INTELLIGENCE Shoham, Y., Tennenholtz, M. 1997; 94 (1-2): 139-166
  • Fab: Content-based, collaborative recommendation COMMUNICATIONS OF THE ACM Balabanovic, M., Shoham, Y. 1997; 40 (3): 66-72
  • A symmetric view of utilities and probabilities 15th International Joint Conference on Artificial Intelligence Shoham, Y. MORGAN KAUFMANN PUB INC. 1997: 1324–1329
  • Agent Oriented Programming: a survey. Software Agents Shoham, Y. edited by Bradshaw, J., M. MIT Press. 1997
  • Qualitative Reasoning about Perception and Belief. Val, A., Del, Shoham, Y., Maynard-Reid II, P. 1997
  • Conditional utility, utility independence and utility networks 6th Scandinavian Conference on Artificial Intelligence (SCAI 97) Shoham, Y. I O S PRESS. 1997: 15–25
  • A dynamic theory of incentives in multi-agent systems (preliminary report) 15th International Joint Conference on Artificial Intelligence Shoham, Y., Tanaka, K. MORGAN KAUFMANN PUB INC. 1997: 626–631
  • Two Senses of Conditional Utility. Shoham, Y. 1997
  • Information agents: A new challenge for AI IEEE EXPERT-INTELLIGENT SYSTEMS & THEIR APPLICATIONS Koller, D., Shoham, Y. 1996; 11 (3): 8-10
  • Logics of Knowledge and Robot Motion Planning Journal of the ACM Brafman, R., Latombe, J, C., Moses, Y., Shoham, Y. 1996
  • PROVABLY CORRECT THEORIES OF ACTION JOURNAL OF THE ASSOCIATION FOR COMPUTING MACHINERY Lin, F. Z., Shoham, Y. 1995; 42 (2): 293-320
  • ON SOCIAL LAWS FOR ARTIFICIAL AGENT SOCIETIES - OFF-LINE DESIGN ARTIFICIAL INTELLIGENCE Shoham, Y., Tennenholtz, M. 1995; 73 (1-2): 231-252
  • Nonmonotonic Temporal Reasoning. The Handbook of Login in Artificial Intelligence and Logic Programming Sandwall, E., J., Shoham, Y. edited by Gabbai, D. Elsevier. 1995
  • Adaptive Load Balancing: a study of multi-agent learning Journal of Artificial Intelligence Research 2 Schaerf, A., Shoham, Y., Tennenholtz, M. 1995: 475-500
  • Knowledge considerations in robotics and distribution of robotic tasks 14th International Joint Conference on Artificial Intelligence (IJCAI-95) Brafman, R. I., Shoham, Y. MORGAN KAUFMANN PUB INC. 1995: 96–102
  • Artificial Intelligence Techniques in Prolog Shoham, Y. Morgan Kaufman Publishers. 1994
  • Applying Knowledge to Motion Planning Under Uncertainty. Brafman, R., I., Latombe, J, C., Moses, Y., Shoham, Y. 1994
  • A Unified View of Belief Revision and Update Journal of Logic and Computation Val, A., Del, Shoham, Y. 1994
  • Logics of Mental Attitudes in AI. Advances in Knowledge Representation and Reasoning Shoham, Y., Cousins, S., B. edited by Lakemeyer, G., Mebel, B. Springer-Verlag. 1994
  • BELIEF AS DEFEASIBLE KNOWLEDGE ARTIFICIAL INTELLIGENCE Moses, Y., Shoham, Y. 1993; 64 (2): 299-321
  • AGENT-ORIENTED PROGRAMMING ARTIFICIAL INTELLIGENCE Shoham, Y. 1993; 60 (1): 51-92
  • TOWARDS KNOWLEDGE-LEVEL ANALYSIS OF MOTION PLANNING 11th National Conference on Artificial Intelligence (AAAI-93) Brafman, R. I., Latombe, J. C., Shoham, Y. M I T PRESS. 1993: 670–675
  • Agent Oriented Programming. The Encyclopedia of Computer Science and Technology Shoham, Y., Thomas, B. edited by Kent, A., Williams, J., G. Marcel Dekkar, Inc.. 1993
  • Agent Oriented Programming Journal of Artificial Intelligence Shoham, Y. 1993; 1 (60): 51-92
  • Deriving Properties of Belief Update from Theories of Action II. Val, A., Del, Shoham, Y. 1993
  • DERIVING PROPERTIES OF BELIEF UPDATE FROM THEORIES OF ACTION .2. 13th International Joint Conference on Artificial Intelligence (IJCAI-93) Delval, A., Shoham, Y. MORGAN KAUFMANN PUB INC. 1993: 732–737
  • REASONING PRECISELY WITH VAGUE CONCEPTS 11th National Conference on Artificial Intelligence (AAAI-93) Goyal, N., Shoham, Y. M I T PRESS. 1993: 426–431
  • A LOGIC OF KNOWLEDGE AND JUSTIFIED ASSUMPTIONS ARTIFICIAL INTELLIGENCE Lin, F. Z., Shoham, Y. 1992; 57 (2-3): 271-289
  • EMERGENT CONVENTIONS IN MULTIAGENT SYSTEMS - INITIAL EXPERIMENTAL RESULTS AND OBSERVATIONS (PRELIMINARY-REPORT) 3rd International Conference on Principles of Knowledge Representation and Reasoning (KR 92) Shoham, Y., Tennenholtz, M. MORGAN KAUFMANN PUB INC. 1992: 225–231
  • On the Synthesis of Useful Social Laws. Shoham, Y., Tennenholtz, M. 1992
  • A Mechanism for Reasoning about Time and Belief. Isozaki, H., Shoham, Y. 1992
  • Emergent Conventions in Multi-Agent Systems. Shoham, Y., Tennenholtz, M. 1992
  • Deriving Properties of Belief Update from Theories of Action. Val, A. D., Shoham, Y. 1992
  • Agent Oriented Programming: an overview and summary of recent research. Shoham, Y. 1992
  • Concurrent Actions in the Situation Calculus. Lin, F., Shoham, Y. 1992
  • On Traffic Laws for Mobile Robots (abstract only) Shoham, Y., Tennenholtz, M. 1992
  • A PROPOSITIONAL MODAL LOGIC OF TIME INTERVALS JOURNAL OF THE ACM Halpern, J. Y., Shoham, Y. 1991; 38 (4): 935-962
  • PRELIMINARY THOUGHTS ON AN AGENT DESCRIPTION LANGUAGE INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS Thomas, B., Shoham, Y., Schwartz, A., Kraus, S. 1991; 6 (5): 497-508
  • NONMONOTONIC REASONING AND CAUSATION - REPLY COGNITIVE SCIENCE Shoham, Y. 1991; 15 (2): 301-303
  • A LOGIC OF RELATIVE DESIRE LECTURE NOTES IN ARTIFICIAL INTELLIGENCE Doyle, J., Shoham, Y., Wellman, M. P. 1991; 542: 16-31
  • Implementing the Intentional Stance. Philosophy and Artificial Intelligence Shoham, Y. edited by Cummins, R., Pollock, J. MIT Press. 1991
  • Remarks on Simon's Comments Journal of Cognitive Science Shoham, Y. 1991; 2 (15): 301-303
  • AGENTO: a simple agent language and its interpreter Shoham, Y. 1991
  • NONMONOTONIC REASONING AND CAUSATION COGNITIVE SCIENCE Shoham, Y. 1990; 14 (2): 213-252
  • EPISTEMIC SEMANTICS FOR FIXED-POINTS NONMONOTONIC LOGICS 3rd Conference on Theoretical Aspects of Reasoning About Knowledge (TARK 1990) Lin, F. Z., Shoham, Y. MORGAN KAUFMANN PUB INC. 1990: 111–120
  • On the Complexity of Inheritance Networks and Roles. Hemerely, A., Guerreiro, R., Shoham, Y. 1990
  • Time for Action. Shoham, Y. 1989
  • Belief as Defeasible Knowledge. Shoham, Y., Moses, Y. 1989
  • EFFICIENT REASONING ABOUT RICH TEMPORAL DOMAINS JOURNAL OF PHILOSOPHICAL LOGIC Shoham, Y. 1988; 17 (4): 443-474
  • CHRONOLOGICAL IGNORANCE - EXPERIMENTS IN NONMONOTONIC TEMPORAL REASONING ARTIFICIAL INTELLIGENCE Shoham, Y. 1988; 36 (3): 279-331
  • PROBLEMS IN FORMAL TEMPORAL REASONING ARTIFICIAL INTELLIGENCE Shoham, Y., McDermott, D. 1988; 36 (1): 49-61
  • Problems in Nonmonotonic Temporal Reasoning Journal of Artificial Intelligence Shoham, Y., McDermott, D. 1988; 1 (36): 49-61
  • Temporal Reasoning in AI Exploring Artificial Intelligence Shoham, Y., Goyal, N. Morgan-Kaufmann. 1988: 419–438
  • Temporal Logics in AI Journal of Artificial Intelligence Shoham, Y. 1987; 1 (33): 89-104
  • Chronological Ignorance: time, knowledge, nonmonotonicity, and casual theories. Readings in Nonmonotonic Reasoning Shoham, Y. edited by Ginsberg, M. Morgan-Kaufmann. 1987: 396–409
  • Temporal Reasoning. The Encyclopedia of Artificial Intelligence Shoham, Y., McDermott, D., V. edited by Shapiro, S., C. Wiley-Interscience, New York. 1987: 967–981
  • Nonmonotonic Logics: meaning and utility. Shoham, Y. 1987
  • A Semantical Approach to Nonmonotonic Logics. Shoham, Y. 1987
  • Reified Temporal Logics: semantical and ontological considerations. Shoham, Y. 1986
  • Chronological Ignorance: time, knowledge, nonmonotonicity and casual theories. Shoham, Y. 1986
  • A Propositional Modal Logic of Time Intervals (short version). Halpern, J., Y., Shoham, Y. 1986
  • Naive Kinematics: One Aspect of Shape. Shoham, Y. 1985
  • Ten Requirements from a Theory of Change Journal of New Generation Computing 3(4), 467-477, special issue on knowledge representation Shoham, Y. 1985
  • Reasoning about Causation in Knowledge-Based Systems. Shoham, Y. 1985
  • Temporal Notation and Causal Terminology. Shoham, Y., Dean, T. 1985
  • Prolog Predicates as Denoting Directed Relations. Shoham, Y., McDermott, D., V. 1984
  • Knowledge Inversion. Shoham, Y., McDermott, D., V. 1984
  • FAME: A Prolog Program That Solves Problems in Combinatorics. Shoham, Y. 1984
  • Rational Programming Unpublished. Shoham, Y.
  • Near-Optimal Search in Continuous Domains. Ieong, S., Lambert, N., Shoham, Y., Brafman, R.
  • Can Computers Think? Can they Feel? Non-technical. Stanford School of Engineering "Ask the Expert" column. Shoham, Y. 
  • A Test Suite for Combinatorial Auctions. Chapter 19 of Combinatorial Auctions. Leyton-Brown, K., Shoham, Y.
  • Marginal Contribution Nets: A Compact Representation Scheme for Coalitional Games. Ieong, S., Shoham, Y. 
  • Team Competition. Tang, P., Shoham, Y. , Lin, F.
  • A Framework for the Quantitative Evaluation of Voting Rules. Munie, M., Tang, P., Shoham, Y. 
  • On the Complexity of Schedule Control Problems for Knockout Tournaments. Vu, T., Altman, A., Shoham, Y. 
  • Higher Educated Guesses. Shoham, Y.
  • Joint Process Games: From Ratings to Wikis. Munie, M., Shoham, Y. 
  • Broadening the Scope of Optimal Seeding Analysis in Knockout Tournaments. Vu, T.
  • Eliciting Properties of Probability Distributions. Lambert, N., Pennock, D., M., Shoham, Y. 
  • Bayesian Coalitional Games. Ieong, S., Shoham, Y.
  • Modeling Billiards Games. Archibald, C., Shoham, Y. 
  • On the Agenda Control Problem in Knockout Tournaments. Vu, T., Altman, A., Shoham., Y.
  • Run the GAMUT: A Comprehensive Approach to Evaluating Game-Theoretic Algorithms. Leyton-Brown, K., Nudelman, E., Wortman, J., Shoham, Y.
  • Dispersion Games AAAI-02. Grenager, T., Powers, R., Shoham, Y.
  • Internal Implementation. Anderson, A., Shoham, Y. , Altman, A.
  • Asymptotically Optimal Repeated Auctions for Sponsored Search. Lambert, N., Shoham, Y.
  • Game Theory Pragmatics: A Challenge for AI. Shoham, Y.
  • Optimal Testing of Structured Knowledge. Munie, M., Shoham, Y.
  • Learning in Games with More than Two Players. Vu, T., Powers, R., Shoham, Y.
  • Multi-Attribute Coalitional Games. Ieong, S., Shoham, Y.
  • Success, Strategy and Skill: an Experimental Study. Archibald, C., Altman, A., Shoham, Y. 
  • Introduction to Combinatorial Auctions. Introductory chapter of Combinatorial Auctions. Cramton, P., Shoham, Y.
  • If Multi-Agent Learning is the Answer, What is the Question? Artificial Intelligence, special issue on Foundations of Multi-Agent Learning Shoham, Y., Powers, R. edited by Vohra, R., Wellman, M. : 365–377
  • Empirical Hardness Models for Combinatorial Auctions. Chapter 20 of Combinatorial Auctions. Leyton-Brown, K., Nudelman, E.