Inon Zuckerman
Inon Zuckerman
Senior Lecturer, Ariel University
Verified email at ariel.ac.il - Homepage
Title
Cited by
Cited by
Year
Combining psychological models with machine learning to better predict people’s decisions
A Rosenfeld, I Zuckerman, A Azaria, S Kraus
Synthese 189 (1), 81-93, 2012
522012
NegoChat: a chat-based negotiation agent
A Rosenfeld, I Zuckerman, E Segal-Halevi, O Drein, S Kraus
Proceedings of the 2014 international conference on Autonomous agents and …, 2014
502014
Manipulating Boolean games through communication
J Grant, S Kraus, M Wooldridge, I Zuckerman
IJCAI, 210-215, 2011
382011
NegoChat-A: a chat-based negotiation agent with bounded rationality
A Rosenfeld, I Zuckerman, E Segal-Halevi, O Drein, S Kraus
Autonomous Agents and Multi-Agent Systems 30 (1), 60-81, 2016
342016
Using focal point learning to improve human–machine tacit coordination
I Zuckerman, S Kraus, JS Rosenschein
Autonomous Agents and Multi-Agent Systems 22 (2), 289-316, 2011
172011
Mixing Search Strategies for Multi-Player Games.
I Zuckerman, A Felner, S Kraus
IJCAI 9, 646-652, 2009
172009
Manipulating games by sharing information
J Grant, S Kraus, M Wooldridge, I Zuckerman
Studia Logica 102 (2), 267-295, 2014
112014
The life game: Cognitive strategies for repeated stochastic games
KL Cheng, I Zuckerman, D Nau, J Golbeck
2011 IEEE Third International Conference on Privacy, Security, Risk and …, 2011
112011
An adversarial environment model for bounded rational agents in zero-sum interactions
I Zuckerman, S Kraus, JS Rosenschein, G Kaminka
Proceedings of the 6th international joint conference on Autonomous agents …, 2007
112007
Towards automated negotiation agents that use chat interfaces
I Zuckerman, A Rosenfeld, S Kraus, E Segal-Halevi
The sixth international workshop on agent-based complex automated …, 2013
92013
Guiding user choice during discussion by silence, examples and justifications
M Fenster, I Zuckerman, S Kraus
Proceedings of the 20th European Conference on Artificial Intelligence, 330-335, 2012
82012
Improving Local Decisions in Adversarial Search.
B Wilson, I Zuckerman, A Parker, DS Nau
ECAI, 840-845, 2012
82012
The adversarial activity model for bounded rational agents
I Zuckerman, S Kraus, JS Rosenschein
Autonomous Agents and Multi-Agent Systems 24 (3), 374-409, 2012
82012
Modeling social preferences in multi-player games.
B Wilson, I Zuckerman, DS Nau
AAMAS, 337-344, 2011
82011
Modeling agent’s preferences by its designer’s social value orientation
I Zuckerman, KL Cheng, DS Nau
Journal of Experimental & Theoretical Artificial Intelligence 30 (2), 257-277, 2018
72018
Using Focal Point Learning to Improve Tactic Coordination in Human-Machine Interactions.
I Zuckerman, S Kraus, JS Rosenschein
IJCAI, 1563-1569, 2007
62007
The effect of culture and social orientation on Player’s performances in tacit coordination games
D Mizrahi, I Laufer, I Zuckerman, T Zhang
International Conference on Brain Informatics, 437-447, 2018
52018
The MP-Mix algorithm: Dynamic search strategy selection in multiplayer adversarial search
I Zuckerman, A Felner
IEEE Transactions on Computational Intelligence and AI in Games 3 (4), 316-331, 2011
52011
Individual strategic profiles in tacit coordination games
D Mizrahi, I Laufer, I Zuckerman
Journal of Experimental & Theoretical Artificial Intelligence, 1-16, 2020
42020
Collectivism-individualism: Strategic behavior in tacit coordination games
D Mizrahi, I Laufer, I Zuckerman
PloS one 15 (2), e0226929, 2020
42020
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Articles 1–20