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2020 – today
- 2024
[j23]Dor Mizrahi
, Ilan Laufer, Inon Zuckerman:
Real-World Spatial Synchronization of Event-CMOS Cameras through Deep Learning: A Novel CNN-DGCNN Approach. Sensors 24(13): 4050 (2024)- 2023
- [j22]Dor Mizrahi, Inon Zuckerman, Ilan Laufer:
The Effect of Social Value Orientation on Theta to Alpha Ratio in Resource Allocation Games. Inf. 14(3): 146 (2023) - [j21]Dor Mizrahi, Ilan Laufer, Inon Zuckerman:
Predicting focal point solution in divergent interest tacit coordination games. J. Exp. Theor. Artif. Intell. 35(6): 933-953 (2023) - [j20]Dor Mizrahi, Ilan Laufer, Inon Zuckerman:
Predicting Tacit Coordination Success Using Electroencephalogram Trajectories: The Impact of Task Difficulty. Sensors 23(23): 9493 (2023) - [c24]Dor Mizrahi, Ilan Laufer, Inon Zuckerman:
Modulation of Beta Power as a Function of Attachment Style and Feedback Valence. BI 2023: 14-20 - 2022
- [j19]Inon Zuckerman, Dor Mizrahi, Ilan Laufer:
EEG Pattern Classification of Picking and Coordination Using Anonymous Random Walks. Algorithms 15(4): 114 (2022) - [j18]Dor Mizrahi, Ilan Laufer, Inon Zuckerman:
Modeling and predicting individual tacit coordination ability. Brain Informatics 9(1): 4 (2022) - [j17]Ilan Laufer, Dor Mizrahi, Inon Zuckerman:
An Electrophysiological Model for Assessing Cognitive Load in Tacit Coordination Games. Sensors 22(2): 477 (2022) - [j16]Dor Mizrahi, Inon Zuckerman, Ilan Laufer:
Electrophysiological Features to Aid in the Construction of Predictive Models of Human-Agent Collaboration in Smart Environments. Sensors 22(17): 6526 (2022) - [c23]Dor Mizrahi, Inon Zuckerman, Ilan Laufer:
Analysis of Alpha Band Decomposition in Different Level-k Scenarios with Semantic Processing. BI 2022: 65-73 - [c22]Dor Mizrahi, Inon Zuckerman, Ilan Laufer:
Sensitivity of Electrophysiological Patterns in Level-K States as Function of Individual Coordination Ability. IntelliSys (1) 2022: 336-347 - 2021
- [j15]Dor Mizrahi, Ilan Laufer, Inon Zuckerman:
Individual strategic profiles in tacit coordination games. J. Exp. Theor. Artif. Intell. 33(1): 63-78 (2021) - [j14]Dor Mizrahi, Inon Zuckerman, Ilan Laufer:
Level-K Classification from EEG Signals Using Transfer Learning. Sensors 21(23): 7908 (2021) - [c21]Dor Mizrahi, Ilan Laufer, Inon Zuckerman:
The Effect of Expected Revenue Proportion and Social Value Orientation Index on Players' Behavior in Divergent Interest Tacit Coordination Games. BI 2021: 25-34 - 2020
- [j13]Dor Mizrahi, Inon Zuckerman, Ilan Laufer:
Using a Stochastic Agent Model to Optimize Performance in Divergent Interest Tacit Coordination Games. Sensors 20(24): 7026 (2020) - [c20]Dor Mizrahi, Ilan Laufer, Inon Zuckerman:
The Effect of Loss-Aversion on Strategic Behaviour of Players in Divergent Interest Tacit Coordination Games. BI 2020: 41-49
2010 – 2019
- 2019
- [c19]Dor Mizrahi, Ilan Laufer, Inon Zuckerman:
Modeling Individual Tacit Coordination Abilities. BI 2019: 29-38 - 2018
- [j12]Inon Zuckerman, Brandon Wilson, Dana S. Nau:
Avoiding game-tree pathology in 2-player adversarial search. Comput. Intell. 34(2): 542-561 (2018) - [j11]Inon Zuckerman, Kan-Leung Cheng, Dana S. Nau:
Modeling agent's preferences by its designer's social value orientation. J. Exp. Theor. Artif. Intell. 30(2): 257-277 (2018) - [c18]Dor Mizrahi, Ilan Laufer, Inon Zuckerman, Tielin Zhang:
The Effect of Culture and Social Orientation on Player's Performances in Tacit Coordination Games. BI 2018: 437-447 - 2017
- [j10]Eden Shalom Erez, Inon Zuckerman, Dror Hermel:
Automatic negotiation: playing the domain instead of the opponent. J. Exp. Theor. Artif. Intell. 29(3): 597-616 (2017) - [j9]Matan Leibovich, Inon Zuckerman, Avi Pfeffer, Ya'akov Gal:
Decision-making and opinion formation in simple networks. Knowl. Inf. Syst. 51(2): 691-718 (2017) - 2016
- [j8]Avi Rosenfeld, Inon Zuckerman, Erel Segal-Halevi, Osnat Drein, Sarit Kraus:
NegoChat-A: a chat-based negotiation agent with bounded rationality. Auton. Agents Multi Agent Syst. 30(1): 60-81 (2016) - 2015
- [j7]Inon Zuckerman, Meirav Hadad:
A BDI-based agent architecture for social competent agents. Web Intell. 13(3): 179-194 (2015) - [c17]Tal Shmueli, Inon Zuckerman:
Avoiding Game-Tree Pathology in Multi-player Games. WI-IAT (2) 2015: 312-315 - [p1]Inon Zuckerman, Erel Segal-Halevi, Avi Rosenfeld, Sarit Kraus:
First Steps in Chat-Based Negotiating Agents. Next Frontier in Agent-Based Complex Automated Negotiation 2015: 89-109 - 2014
- [j6]John Grant, Sarit Kraus, Michael J. Wooldridge, Inon Zuckerman:
Manipulating Games by Sharing Information. Stud Logica 102(2): 267-295 (2014) - [c16]Eden Shalom Erez, Inon Zuckerman:
DoNA - A Domain-Based Negotiation Agent. ANAC@AAMAS 2014: 261-271 - [c15]Avi Rosenfeld, Inon Zuckerman, Erel Segal-Halevi, Osnat Drein, Sarit Kraus:
NegoChat: a chat-based negotiation agent. AAMAS 2014: 525-532 - [c14]Kan-Leung Cheng, Inon Zuckerman, Dana S. Nau, Jennifer Golbeck:
Predicting Agents' Behavior by Measuring their Social Preferences. ECAI 2014: 985-986 - 2012
- [j5]Inon Zuckerman, Sarit Kraus, Jeffrey S. Rosenschein:
The adversarial activity model for bounded rational agents. Auton. Agents Multi Agent Syst. 24(3): 374-409 (2012) - [j4]Inon Zuckerman, Meirav Hadad:
The social landscape: reasoning on the social behavior spectrum. IEEE Intell. Syst. 27(2): 36-41 (2012) - [j3]Avi Rosenfeld, Inon Zuckerman, Amos Azaria, Sarit Kraus:
Combining psychological models with machine learning to better predict people's decisions. Synth. 189(Supplement-1): 81-93 (2012) - [c13]Maier Fenster, Inon Zuckerman, Sarit Kraus:
Guiding User Choice During Discussion by Silence, Examples and Justifications. ECAI 2012: 330-335 - [c12]Brandon Wilson, Inon Zuckerman, Austin Parker, Dana S. Nau:
Improving Local Decisions in Adversarial Search. ECAI 2012: 840-845 - 2011
- [j2]Inon Zuckerman, Sarit Kraus, Jeffrey S. Rosenschein:
Using focal point learning to improve human-machine tacit coordination. Auton. Agents Multi Agent Syst. 22(2): 289-316 (2011) - [j1]Inon Zuckerman, Ariel Felner:
The MP-MIX Algorithm: Dynamic Search Strategy Selection in Multiplayer Adversarial Search. IEEE Trans. Comput. Intell. AI Games 3(4): 316-331 (2011) - [c11]Brandon Wilson, Inon Zuckerman, Dana S. Nau:
Modeling social preferences in multi-player games. AAMAS 2011: 337-344 - [c10]Inon Zuckerman, Meirav Hadad:
Reasoning about Groups: A Cognitive Model for the Social Behavior Spectrum. IAT 2011: 125-132 - [c9]John Grant, Sarit Kraus, Michael J. Wooldridge, Inon Zuckerman:
Manipulating Boolean Games through Communication. IJCAI 2011: 210-215 - [c8]Kan-Leung Cheng, Inon Zuckerman, Dana S. Nau, Jennifer Golbeck:
The Life Game: Cognitive Strategies for Repeated Stochastic Games. SocialCom/PASSAT 2011: 95-102 - 2010
- [c7]Kan-Leung Cheng, Inon Zuckerman, Ugur Kuter, Dana S. Nau:
Emergence of cooperative societies in evolutionary games. GECCO (Companion) 2010: 1793-1800 - [c6]Kan-Leung Cheng, Inon Zuckerman, Ugur Kuter, Dana S. Nau:
Emergence of cooperative societies in evolutionary games. GECCO (Companion) 2010: 2067-2068 - [c5]Kan-Leung Cheng, Inon Zuckerman, Ugur Kuter, Dana S. Nau:
Using a Social Orientation Model for the Evolution of Cooperative Societies. IAT 2010: 431-438
2000 – 2009
- 2009
- [c4]Inon Zuckerman, Ariel Felner, Sarit Kraus:
Mixing Search Strategies for Multi-Player Games. IJCAI 2009: 646-652 - 2008
- [c3]Inon Zuckerman, Sarit Kraus, Jeffrey S. Rosenschein:
An Empirical Investigation of the Adversarial Activity Model. ECAI 2008: 861-862 - 2007
- [c2]Inon Zuckerman, Sarit Kraus, Jeffrey S. Rosenschein, Gal A. Kaminka:
An adversarial environment model for bounded rational agents in zero-sum interactions. AAMAS 2007: 83 - [c1]Inon Zuckerman, Sarit Kraus, Jeffrey S. Rosenschein:
Using Focal Point Learning to Improve Tactic Coordination in Human-Machine Interactions. IJCAI 2007: 1563-1569
Coauthor Index
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