Search results for "opponent"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
136	Ramin Fathzadeh, Vahid Mokhtari, Mohammad Reza Kangavari 0001	Opponent Provocation and Behavior Classification: A Machine Learning Approach.	RoboCup	2007	DBLP DOI BibTeX RDF
107	Amit Jain, Glenn Healey	Evaluating Multiscale Opponent Color Features Using Gabor Filters.	ICIP (2)	1997	DBLP DOI BibTeX RDF	multiscale opponent color features, color texture representation, unichrome features, opponent features, spectral bands, database, Gabor filters, image colour analysis, human vision, image regions, color image processing, recognition accuracy
106	Agapito Ledezma, Ricardo Aler, Araceli Sanchis, Daniel Borrajo	Predicting Opponent Actions by Observation.	RoboCup	2004	DBLP DOI BibTeX RDF
106	Jeroen Donkers, H. Jaap van den Herik, Jos W. H. M. Uiterwijk	Probabilistic Opponent-Model Search in Bao.	ICEC	2004	DBLP DOI BibTeX RDF
97	Alan J. Lockett, Charles L. Chen, Risto Miikkulainen	Evolving explicit opponent models in game playing.	GECCO	2007	DBLP DOI BibTeX RDF	games of imperfect information, neural networks, AI, artificial intelligence, evolutionary computation, neuroevolution, opponent modeling
97	Patrick Riley 0001, Manuela M. Veloso	Coach planning with opponent models for distributed execution.	Auton. Agents Multi Agent Syst.	2006	DBLP DOI BibTeX RDF	Simulated robot soccer, Planning, Opponent modeling, Advice, Distributed execution
97	Shaul Markovitch, Ronit Reger	Learning and Exploiting Relative Weaknesses of Opponent Agents.	Auton. Agents Multi Agent Syst.	2005	DBLP DOI BibTeX RDF	machine learning, multi-agent systems, opponent modelling
87	Fang Fang, Ye Xin, Xia Yun, Xu Haitao	An Opponent's Negotiation Behavior Model to Facilitate Buyer-seller Negotiations in Supply Chain Management.	ISECS	2008	DBLP DOI BibTeX RDF	Buyer-seller Negotiation, Opponent's Behavior Model (OpNBM), Artificial Neural Network, Supply Chain Management
87	Dinis Félix, Luís Paulo Reis	An Experimental Approach to Online Opponent Modeling in Texas Hold'em Poker.	SBIA	2008	DBLP DOI BibTeX RDF	Texas Hold’em, Autonomous Agents, Opponent Modeling, Poker
86	Ronald R. Yager, Vladik Kreinovich	Using robust optimization to play against an imperfect opponent.	Soft Comput.	1997	DBLP DOI BibTeX RDF	game theory, aggregation, fuzzy sets, strategy, ordered weighted averaging operator
80	Xinbo Gao 0001, Hiroyuki Iida, Jos W. H. M. Uiterwijk, H. Jaap van den Herik	A Speculative Strategy.	Computers and Games	1998	DBLP DOI BibTeX RDF	speculative play, pruning, opponent modelling, Othello
77	Koen V. Hindriks, Catholijn M. Jonker, Dmytro Tykhonov	Using opponent models for efficient negotiation.	AAMAS (2)	2009	DBLP BibTeX RDF	automated multi-issue negotiation, opponent modelling, Bayesian learning, negotiation strategy, Tit-for-Tat
77	Ting-Jung Yu, K. Robert Lai, Menq-Wen Lin, Bo-Ruei Kao	Modeling Opponent's Beliefs Via Fuzzy Constraint-Directed Approach in Agent Negotiation.	ICIC (1)	2007	DBLP DOI BibTeX RDF	opponent learning, multi-agent systems, Intelligence systems, agent negotiation, fuzzy constraints
76	José Antonio Iglesias, Juan Antonio Fernández, Ignacio Ramon Villena, Agapito Ledezma, Araceli Sanchis	The Winning Advantage: Using Opponent Models in Robot Soccer.	IDEAL	2009	DBLP DOI BibTeX RDF
76	Scott Buffett, Luc Comeau, Bruce Spencer, Michael W. Fleming	Detecting opponent concessions in multi-issue automated negotiation.	ICEC	2006	DBLP DOI BibTeX RDF	mutli-issue negotiation, learning, preferences, automated negotiation, negotiation protocols, negotiation strategies
76	Remedios de Dios Bulos, Conirose L. Dulalia, Peggy Sharon L. Go, Pamela Vianne C. Tan, Ma. Zaide Ilene O. Uy	A Data Mining Approach in Opponent Modeling.	Australian Conference on Artificial Intelligence	2005	DBLP DOI BibTeX RDF
67	Bea Thai, Glenn Healey	Modeling and Classifying Symmetries Using a Multiscale Opponent Color Representation.	IEEE Trans. Pattern Anal. Mach. Intell.	1998	DBLP DOI BibTeX RDF	opponent, opponent color, image retrieval, texture, recognition, color, Symmetry, Gabor filter, multiscale
67	Ji Wu 0006, Chaoqun Ye, Shiyao Jin	Opponent Learning for Multi-agent System Simulation.	RSKT	2006	DBLP DOI BibTeX RDF	reinforcement learning, Markov decision processes, multi-agent simulation, Opponent modeling
66	Fan Xie 0001, Suoju He, Xiao Liu, Xingguo Li, Junping Du, Jiajian Yang, Yiwen Fu, Yang Chen, Junping Wang, Zhiqing Liu, Qiliang Zhu	To create neuro-controlled game opponent from UCT-created data.	GEC Summit	2009	DBLP DOI BibTeX RDF	UCT, adaptive game ai, dead end, neuro-controller, neuro-evolution
66	Sabyasachi Saha, Anish Biswas, Sandip Sen	Modeling opponent decision in repeated one-shot negotiations.	AAMAS	2005	DBLP DOI BibTeX RDF	chebychev polynomial, learning, negotiation
66	Thorsten Hansen, Gregory Baratoff, Heiko Neumann	A simple cell model with dominating opponent inhibition for robust contrast detection.	Kognitionswissenschaft	2000	DBLP DOI BibTeX RDF
66	Amit Jain, Glenn Healey	A multiscale representation including opponent color features for texture recognition.	IEEE Trans. Image Process.	1998	DBLP DOI BibTeX RDF
66	David Carmel, Shaul Markovitch	How to Explore your Opponent's Strategy (almost) Optimally.	ICMAS	1998	DBLP DOI BibTeX RDF
57	Yinon Oshrat, Raz Lin, Sarit Kraus	Facing the challenge of human-agent negotiations via effective general opponent modeling.	AAMAS (1)	2009	DBLP BibTeX RDF	automated bilateral negotiation, opponent modeling
57	Andrew Chiou	What is it thinking?: game AI opponent computer-human interaction using descriptive schema and explanatory capabilities.	DIMEA	2007	DBLP DOI BibTeX RDF	AI opponent, descriptive schema, explanatory capabilities, computer-human interaction, game AI
57	Antonio Del Giudice, Piotr J. Gmytrasiewicz, Josh Bryan	Towards strategic Kriegspiel play with opponent modeling.	AAMAS (2)	2009	DBLP BibTeX RDF
50	Nathan R. Sturtevant, Michael H. Bowling	Robust game play against unknown opponents.	AAMAS	2006	DBLP DOI BibTeX RDF	search, opponent modeling, multi-player games
49	Doran Chakraborty, Peter Stone	Online Multiagent Learning against Memory Bounded Adversaries.	ECML/PKDD (1)	2008	DBLP DOI BibTeX RDF
49	Michael L. Littman, Peter Stone	Implicit Negotiation in Repeated Games.	ATAL	2001	DBLP DOI BibTeX RDF
49	Gustavus J. Simmons	Message Authentication with Arbitration of Transmitter/Receiver Disputes.	EUROCRYPT	1987	DBLP DOI BibTeX RDF
47	Shohei Yoshikawa, Yoshiaki Yasumura, Kuniaki Uehara	Strategy Acquisition on Multi-issue Negotiation without Estimating Opponent's Preference.	KES-AMSTA	2008	DBLP DOI BibTeX RDF
47	Saori Umemura, Kazuhito Murakami, Tadashi Naruse	Orientation Extraction and Identification of the Opponent Robots in RoboCup Small-Size League.	RoboCup	2006	DBLP DOI BibTeX RDF
47	Thilo Weigel, Klaus Rechert, Bernhard Nebel	Behavior Recognition and Opponent Modeling for Adaptive Table Soccer Playing.	KI	2005	DBLP DOI BibTeX RDF
47	Yoshizo Ishihara, Runhe Huang, Kwang Mong Sim	Learning Opponent's Eagerness with Bayesian Updating Rule in a Market-Driven Negotiation Model.	AINA	2005	DBLP DOI BibTeX RDF
47	Jafar Habibi, Hamid Younesy, Abbas Heydarnoori	Using the Opponent Pass Modeling Method to Improve Defending Ability of a (Robo)Soccer Simulation Team.	RoboCup	2003	DBLP DOI BibTeX RDF
47	Patrick Riley 0001, Manuela M. Veloso	Coaching a simulated soccer team by opponent model recognition.	Agents	2001	DBLP DOI BibTeX RDF
47	Patrick Riley 0001, Manuela M. Veloso	Recognizing Probabilistic Opponent Movement Models.	RoboCup	2001	DBLP DOI BibTeX RDF
47	Jeff Berens, Graham D. Finlayson	Log-Opponent Chromaticity Coding of Color Space.	ICPR	2000	DBLP DOI BibTeX RDF
40	Thomas Wagner 0005, Tjorben Bogon, Carsten Elfers	Incremental Generation of Abductive Explanations for Tactical Behavior.	RoboCup	2007	DBLP DOI BibTeX RDF
40	Conirose L. Dulalia, Peggy Sharon L. Go, Pamela Vianne C. Tan, Ma. Zaide Ilene O. Uy, Remedios de Dios Bulos	Learning in Coaching.	WSTST	2005	DBLP DOI BibTeX RDF
40	H. Jaap van den Herik, H. H. L. M. Donkers	Games, Theory and Applications.	SOFSEM	2004	DBLP DOI BibTeX RDF
40	Rhys Price Jones	Surviving the many-person dilemna (abstract only).	ACM Conference on Computer Science	1987	DBLP DOI BibTeX RDF
37	Ioanna Roussaki, Ioannis V. Papaioannou, Miltiades E. Anagnostou	Building Automated Negotiation Strategies Enhanced by MLP and GR Neural Networks for Opponent Agent Behaviour Prognosis.	IWANN	2007	DBLP DOI BibTeX RDF	negotiating agents, MLP & GR neural networks, NN-assisted negotiation strategies, opponent behaviour prediction
37	Pieter Jan't Hoen, Sander M. Bohté, Johannes A. La Poutré	Learning from induced changes in opponent (re)actions in multi-agent games.	AAMAS	2006	DBLP DOI BibTeX RDF	learning reactions to actions, multi-agent RL, opponent modeling, multi-agent learning
37	Baylor Wetzel, Steve Jensen, Maria L. Gini	Predicting opponent resource allocations when qualitative and contextual information is not available.	FDG	2009	DBLP DOI BibTeX RDF
37	Jakub Brzostowski, Ryszard Kowalczyk	Adaptive Negotiation with On-Line Prediction of Opponent Behaviour in Agent-Based Negotiations.	IAT	2006	DBLP DOI BibTeX RDF
37	Gerardo I. Simari, Amy Sliva, Dana S. Nau, V. S. Subrahmanian	A stochastic language for modelling opponent agents.	AAMAS	2006	DBLP DOI BibTeX RDF	logic for agent systems, formal models of agency
37	Thorsten Schmitt, Robert Hanek, Sebastian Buck 0001, Michael Beetz	Probabilistic Vision-Based Opponent Tracking in Robot Soccer.	RoboCup	2002	DBLP DOI BibTeX RDF
37	Ubbo Visser, Hans-Georg Weland	Using Online Learning to Analyze the Opponent's Behavior.	RoboCup	2002	DBLP DOI BibTeX RDF
34	Qian Yao, Xinli Xiong, Peng Wang, Yongjie Wang	Defeating the Non-stationary Opponent Using Deep Reinforcement Learning and Opponent Modeling.	CollaborateCom (2)	2023	DBLP DOI BibTeX RDF
34	Kuei-Tso Lee, Sheng-Jyh Wang	Bayesian Opponent Exploitation by Inferring the Opponent's Policy Selection Pattern.	CoG	2022	DBLP DOI BibTeX RDF
34	Kiyoshi Hoshino, Yoshimasa Ozone, Chenyang Zhao	A Tankendo Robot that Defends Itself from Opponent Attacks by Moving Immediately before a Valid Strike or Thrust: A Tankendo Robot Defends from Opponent Attacks.	IVSP	2021	DBLP DOI BibTeX RDF
34	Masao Fukutomi, Shun Kurokawa	How much cost should reciprocators pay in order to distinguish the opponent's cooperation from the opponent's defection?	Appl. Math. Comput.	2018	DBLP DOI BibTeX RDF
34	Tim Baarslag, Mark J. C. Hendrikx, Koen V. Hindriks, Catholijn M. Jonker	Learning about the opponent in automated bilateral negotiation: a comprehensive survey of opponent modeling techniques.	Auton. Agents Multi Agent Syst.	2016	DBLP DOI BibTeX RDF
34	Yang Chen, Jian Ou, David Matthew Whittinghill	Cognitive Load in Real-Time Strategy Gaming: Human Opponent Versus AI Opponent.	Comput. Games J.	2015	DBLP DOI BibTeX RDF
30	Charles Q. Wu	A Multi-Stage Neural Network Model for Human Color Vision.	ISNN (3)	2009	DBLP DOI BibTeX RDF	Complementary colors, Opponent colors, Afterimages, Flight of colors, Layer 4C, Color consciousness, Primary visual cortex
30	Francisco Javier Díaz Pernas, Míriam Antón-Rodríguez, José Fernando Díez Higuera, Mario Martínez-Zarzuela	A Bio-inspired Neural Model for Colour Image Segmentation.	ANNPR	2008	DBLP DOI BibTeX RDF	multiple scale model, Boundary Contour System, Feature Contour System, enhancing colour image regions, colour-opponent processes, neural network, image segmentation, image analysis
30	Robert Layton, Peter Vamplew 0001, Chris Turville	Using Stereotypes to Improve Early-Match Poker Play.	Australasian Conference on Artificial Intelligence	2008	DBLP DOI BibTeX RDF	games, stereotypes, agent modelling, opponent modelling, poker
30	Asaf Amit, Shaul Markovitch	Learning to bid in bridge.	Mach. Learn.	2006	DBLP DOI BibTeX RDF	Partner modeling, Learning to cooperate, Bridge, Opponent modeling
30	Ron Katz, Sarit Kraus	Efficient agents for cliff-edge environments with a large set of decision options.	AAMAS	2006	DBLP DOI BibTeX RDF	ultimatum game, reinforcement learning, opponent modeling, sealed-bid auctions
30	Stephen J. Munroe, Michael Luck	Balancing conflict and cost in the selection of negotiation opponents.	AAMAS	2005	DBLP DOI BibTeX RDF	negotiation opponent selection
30	Itsuki Noda, Ian Frank	Review: RoboCup through 2000.	Computers and Games	2000	DBLP DOI BibTeX RDF	soccer, multi-agent systems, learning, opponent-modelling
30	Georgios N. Yannakakis, John Hallam	Capturing Player Enjoyment in Computer Games.	Advanced Intelligent Paradigms in Computer Games	2007	DBLP DOI BibTeX RDF
30	Hamit Erdem	A Practical Fuzzy Logic Controller for Sumo Robot Competition.	PReMI	2007	DBLP DOI BibTeX RDF
30	Krishnendu Chatterjee, Thomas A. Henzinger	Assume-Guarantee Synthesis.	TACAS	2007	DBLP DOI BibTeX RDF
30	Sangkyung Lee, Keechul Jung	Dynamic Game Level Design Using Gaussian Mixture Model.	PRICAI	2006	DBLP DOI BibTeX RDF
30	V. Scott Gordon 0001, Ahmed Reda	Trappy Minimax - using Iterative Deepening to Identify and Set Traps in Two-Player Games.	CIG	2006	DBLP DOI BibTeX RDF
30	Shie Mannor, Nahum Shimkin	Online Learning with Variable Stage Duration.	COLT	2006	DBLP DOI BibTeX RDF
30	Jiangtao Li 0001, Ninghui Li, William H. Winsborough	Automated trust negotiation using cryptographic credentials.	CCS	2005	DBLP DOI BibTeX RDF	privacy, access control, automated trust negotiation, digital credentials
30	Scott Buffett, Bruce Spencer	Learning opponents' preferences in multi-object automated negotiation.	ICEC	2005	DBLP DOI BibTeX RDF	multi-issue, utility, automated negotiation, preference elicitation, Bayesian classification
30	Yexin Song, Qian Wang, Zhijun Li	A Group Decision Making Method for Integrating Outcome Preferences in Hypergame Situations.	FSKD (1)	2005	DBLP DOI BibTeX RDF
30	Zhengyou Xia, Y. A. Hu, Jian Wang, Y. C. Jiang, X. L. Qin	Analyze and Guess Type of Piece in the Computer Game Intelligent System.	FSKD (2)	2005	DBLP DOI BibTeX RDF
30	Arjita Ghosh, Sandip Sen	Theory of moves learners: towards non-myopic equilibria.	AAMAS	2005	DBLP DOI BibTeX RDF	non-myopic equilibrium, theory of moves, bimatrix games
30	Darse Billings, Aaron Davidson, Terence Schauenberg, Neil Burch, Michael H. Bowling, Robert C. Holte, Jonathan Schaeffer, Duane Szafron	Game-Tree Search with Adaptation in Stochastic Imperfect-Information Games.	Computers and Games	2004	DBLP DOI BibTeX RDF
30	John K. Debenham	A Negotiation Agent.	Australian Conference on Artificial Intelligence	2004	DBLP DOI BibTeX RDF
30	Harry G. Mairson	From Hilbert space to Dilbert space: context semantics as a language for games and flow analysis.	ICFP	2003	DBLP DOI BibTeX RDF
30	Andrew D. Gordon 0001, Alan Jeffrey	Types and Effects for Asymmetric Cryptographic Protocols.	CSFW	2002	DBLP DOI BibTeX RDF
30	Graham Kendall, Stephen Shaw	Investigation of an Adaptive Cribbage Player.	Computers and Games	2002	DBLP DOI BibTeX RDF
30	S. Shaheen Fatima, Michael J. Wooldridge, Nicholas R. Jennings	The Influence of Information on Negotiation Equilibrium.	AMEC	2002	DBLP DOI BibTeX RDF
30	Yasutake Takahashi, Takashi Tamura, Minoru Asada	Strategy Learning for a Team in Adversary Environments.	RoboCup	2001	DBLP DOI BibTeX RDF
30	Douglas R. Stinson	A Construction for Authentication/Secrecy Codes from Certain Combinatorial Designs.	CRYPTO	1987	DBLP DOI BibTeX RDF
30	Douglas R. Stinson	Some Constructions and Bounds for authentication Codes.	CRYPTO	1986	DBLP DOI BibTeX RDF
30	Gustavus J. Simmons	The Practice of Authentication.	EUROCRYPT	1985	DBLP DOI BibTeX RDF
27	Margarita Bratkova, Solomon Boulos, Peter Shirley	oRGB: A Practical Opponent Color Space for Computer Graphics.	IEEE Computer Graphics and Applications	2009	DBLP DOI BibTeX RDF
27	Javy H. Y. Lau, Bertram Emil Shi	Improved illumination invariance using a color edge representation based on Double Opponent neurons.	IJCNN	2008	DBLP DOI BibTeX RDF
27	Anthony Di Pietro, Luigi Barone, Lyndon While	A Comparison of Different Adaptive Learning Techniques for Opponent Modelling in the Game of Guess It.	CIG	2006	DBLP DOI BibTeX RDF
27	Robert M. Coehoorn, Nicholas R. Jennings	Learning on opponent's preferences to make effective multi-issue negotiation trade-offs.	ICEC	2004	DBLP DOI BibTeX RDF
27	Christian Bauckhage, Christian Thurau, Gerhard Sagerer	Learning Human-Like Opponent Behavior for Interactive Computer Games.	DAGM-Symposium	2003	DBLP DOI BibTeX RDF
27	Michael Rovatsos, Gerhard Weiß 0001, Marco Wolf	Multiagent Learning for Open Systems: A Study in Opponent Classification.	Adaptive Agents and Multi-Agents Systems	2002	DBLP DOI BibTeX RDF
27	Christian Drücker, Sebastian Hübner, Ubbo Visser, Hans-Georg Weland	"As Time Goes By" - Using Time Series Based Decision Tree Induction to Analyze the Behaviour of Opponent Players.	RoboCup	2001	DBLP DOI BibTeX RDF
27	Eduardo Todt, Carme Torras	Detection of Natural Landmarks through Multiscale Opponent Features.	ICPR	2000	DBLP DOI BibTeX RDF
27	Peter Stone, Patrick Riley 0001, Manuela M. Veloso	Defining and Using Ideal Teammate and Opponent Agent Models: A Case Study in Robotic Soccer.	ICMAS	2000	DBLP DOI BibTeX RDF
27	Michael W. Schwarz, William B. Cowan, John C. Beatty	An Experimental Comparison of RGB, YIQ, LAB, HSV, and Opponent Color Models.	ACM Trans. Graph.	1987	DBLP DOI BibTeX RDF
20	Raz Lin, Yinon Oshrat, Sarit Kraus	Investigating the benefits of automated negotiations in enhancing people's negotiation skills.	AAMAS (1)	2009	DBLP BibTeX RDF	automated bilateral negotiation, opponent modeling
20	Ioannis V. Papaioannou, Ioanna Roussaki, Miltiades E. Anagnostou	Detecting Unsuccessful Automated Negotiation Threads When Opponents Employ Hybrid Strategies.	ICIC (2)	2008	DBLP DOI BibTeX RDF	MLP & GR neural networks, NN-assisted negotiation strategies, Opponent behaviour prediction, Early detection of unsuccessful negotiations, Hybrid negotiation strategies, Automated negotiations
20	V. S. Subrahmanian, Massimiliano Albanese, Maria Vanina Martinez, Dana S. Nau, Diego Reforgiato Recupero, Gerardo I. Simari, Amy Sliva, Octavian Udrea, Jonathan Wilkenfeld	CARA: A Cultural-Reasoning Architecture.	IEEE Intell. Syst.	2007	DBLP DOI BibTeX RDF	cultural reasoning, opinion extraction, opponent modeling
20	Ya'akov Gal, Avi Pfeffer	Predicting people's bidding behavior in negotiation.	AAMAS	2006	DBLP DOI BibTeX RDF	decision-making, negotiation, opponent modeling
20	Shavit Talman, Meirav Hadad, Ya'akov Gal, Sarit Kraus	Adapting to agents' personalities in negotiation.	AAMAS	2005	DBLP DOI BibTeX RDF	game formalisms, social decision-making, negotiation, opponent modeling
20	Ya'akov Gal, Avi Pfeffer	Reasoning about Rationality and Beliefs.	AAMAS	2004	DBLP DOI BibTeX RDF	Artificial Intelligence, Game theory, Languages, Computing Methodologies, Opponent modeling, Decision-making under uncertainty
20	Steven Walczak	Knowledge-Based Search in Competitive Domains.	IEEE Trans. Knowl. Data Eng.	2003	DBLP DOI BibTeX RDF	heuristic pruning, Search, knowledge-based, chunking, opponent modeling, chess