Decoupling Negotiating Agents to Explore the Space of Negotiation Strategies

No abstract is available for this paper.

• Publication year

  2014

• Venue

  Novel Insights in Agent-based Complex Automated Negotiation

• Publication date

  2014-01-24

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.1007/978-4-431-54758-7_4
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• AgentK2: Compromising Strategy Based on Estimated Maximum Utility for Automated Negotiating Agents

  2013cited by this paper
• TheNegotiator: A Dynamic Strategy for Bilateral Negotiations with Time-Based Discounts

  2013cited by this paper
• Gahboninho: Strategy for Balancing Pressure and Compromise in Automated Negotiation

  2013cited by this paper
• Evaluating practical negotiating agents: Results and analysis of the 2011 international competition

  2013cited by this paper
• A Tit for Tat Negotiation Strategy for Real-Time Bilateral Negotiations

  2013influential reference
• HardHeaded

  2013cited by this paper
• Predicting the Performance of Opponent Models in Automated Negotiation

  2013influential reference
• IAMhaggler2011: A Gaussian Process Regression Based Negotiation Agent

  2013cited by this paper
• BRAM Agent

  2013cited by this paper
• Value Model Agent: A Novel Preference Profiler for Negotiation with Agents

  2013cited by this paper
• Accepting optimally in automated negotiation with incomplete information

  2013cited by this paper
• Acceptance Conditions in Automated Negotiation

  2013influential reference
• ABiNeS: An Adaptive Bilateral Negotiating Strategy over Multiple Items

  2012cited by this paper
• GENIUS: AN INTEGRATED ENVIRONMENT FOR SUPPORTING THE DESIGN OF GENERIC AUTOMATED NEGOTIATORS

  2012cited by this paper
• Advances in Agent-Based, Complex Automated Negotiations

  2012cited by this paper
• Yushu: A Heuristic-Based Agent for Automated Negotiating Competition

  2012cited by this paper
• The First Automated Negotiating Agents Competition (ANAC 2010)

  2012influential reference
• Complex Automated Negotiations: Theories, Models, and Software Competitions

  2012cited by this paper
• AI 2012: Advances in Artificial Intelligence

  2012cited by this paper
• AgentK: Compromising Strategy based on Estimated Maximum Utility for Automated Negotiating Agents

  2012cited by this paper
• An Efficient and Adaptive Approach to Negotiation in Complex Environments

  2012cited by this paper
• Measuring the Performance of Online Opponent Models in Automated Bilateral Negotiation

  2012influential reference
• Agent Smith: Opponent Model Estimation in Bilateral Multi-issue Negotiation

  2012cited by this paper
• AgentFSEGA: Time Constrained Reasoning Model for Bilateral Multi-Issue Negotiations

  2012cited by this paper
• IAMhaggler: A Negotiation Agent for Complex Environments

  2012cited by this paper
• Multi-modal Opponent Behaviour Prognosis in E-Negotiations

  2011cited by this paper
• Compromising Strategy Based on Estimated Maximum Utility for Automated Negotiation Agents Competition (ANAC-10)

  2011cited by this paper
• Modern Approaches in Applied Intelligence - 24th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2011, Syracuse, NY, USA, June 28 - July 1, 2011, Proceedings, Part I

  2011cited by this paper
• New Trends in Agent-Based Complex Automated Negotiations

  2011cited by this paper
• Facing the challenge of human-agent negotiations via effective general opponent modeling

  2009cited by this paper
• Agent-Mediated Electronic Commerce and Trading Agent Design and Analysis, AAMAS 2007 Workshop, AMEC 2007, Honolulu, Hawaii, May 14, 2007, and AAAI 2007 Workshop, TADA 2007, Vancouver, Canada, July 23, 2007, Selected and Revised Papers

  2009cited by this paper
• Towards a Quality Assessment Method for Learning Preference Profiles in Negotiation

  2008cited by this paper
• Towards an Open Negotiation Architecture for Heterogeneous Agents

  2008cited by this paper
• Predicting opponent's moves in electronic negotiations using neural networks

  2008cited by this paper
• Cooperative Information Agents XII, 12th International Workshop, CIA 2008, Prague, Czech Republic, September 10-12, 2008. Proceedings

  2008cited by this paper
• Opponent modelling in automated multi-issue negotiation using Bayesian learning

  2008cited by this paper
• An agent architecture for multi-attribute negotiation using incomplete preference information

  2007cited by this paper
• Architectures for Negotiating Agents

  2003cited by this paper
• A Generic Software Framework for Automated Negotiation

  2002cited by this paper
• A formal approach to negotiating agents development

  2002cited by this paper
• Multi-issue negotiation under time constraints

  2002cited by this paper
• Co-Evolution of Bargaining Strategies in a Decentralized Multi-Agent System

  2001cited by this paper
• Bayesian learning in negotiation

  1998cited by this paper
• Determining successful negotiation strategies: an evolutionary approach

  1998cited by this paper
• Negotiation decision functions for autonomous agents

  1998influential reference
• Multi-Agent Rationality

  1997cited by this paper
• Automated Negotiations: A Survey of the State of the Art

  1997cited by this paper
• Allocative Efficiency of Markets with Zero-Intelligence Traders: Market as a Partial Substitute for Individual Rationality

  1993cited by this paper
• Perfect Equilibrium in a Bargaining Model

  1982cited by this paper

• An efficient Bayesian learning-based opponent model considering parametric interrelation in automated bilateral multi-issue negotiation

  2026cites this paper
• A systematic mapping study on automated negotiation for autonomous intelligent systems

  2025cites this paper
• Adaptive strategy templates using deep reinforcement learning for multi-issue bilateral negotiation

  2025cites this paper
• Tackling the Protocol Problem in Automated Negotiation

  2025cites this paper
• A Survey on Bilateral Multi-Round Cloud-SLA Negotiation Strategies

  2025cites this paper
• Sequential Resource Trading Using Comparison-Based Gradient Estimation

  2024cites this paper
• A Survey on One-To-Many Negotiation: A Taxonomy of Interdependency

  2024cites this paper
• Achieving Preferable Agreement by Utilizing offline Negotiation dialogue on Decision Transformer

  2024cites this paper
• Attila: A Negotiating Diplomacy Player Based on Purely Symbolic A.I

  2024cites this paper
• Taking into Account Opponent’s Arguments in Human-Agent Negotiations

  2024cites this paper
• NegoLog: An Integrated Python-based Automated Negotiation Framework with Enhanced Assessment Components

  2024cites this paper
• COMB: Scalable Concession-Driven Opponent Models Using Bayesian Learning for Preference Learning in Bilateral Multi-Issue Automated Negotiation

  2024cites this paper
• Negotiation Strategies for Combining Partials Deals in One-To-Many Negotiations

  2024cites this paper
• A Negotiator's Backup Plan: Optimal Concessions with a Reservation Value

  2024cites this paper
• A negotiation protocol with recommendation for multilateral negotiation in trust networks

  2024cites this paper
• NegoSim: A Modular and Extendable Automated Negotiation Simulation Platform Considering EUBOA

  2023cites this paper
• Evaluating Automated Negotiations

  2023cites this paper
• CP-nets-based user preference learning in automated negotiation through completion and correction

  2023cites this paper
• Towards Explainable Strategy Templates using NLP Transformers

  2023cites this paper
• Reward-Based Negotiating Agent Strategies

  2023cites this paper
• A Negotiating Strategy for a Hybrid Goal Function in Multilateral Negotiation

  2022cites this paper
• LuckyAgent2022: A Stop-Learning Multi-Armed Bandit Automated Negotiating Agent

  2022cites this paper
• Optimal time-based strategy for automated negotiation

  2022influential citation
• Multi-objective vehicle routing with automated negotiation

  2022cites this paper
• Deep Learnable Strategy Templates for Multi-Issue Bilateral Negotiation

  2022cites this paper
• Detecting and Learning Against Unknown Opponents for Automated Negotiations

  2021cites this paper
• Optimizing bid search in large outcome spaces for automated multi-issue negotiations using meta-heuristic methods

  2021influential citation
• An Autonomous Negotiating Agent Framework with Reinforcement Learning Based Strategies and Adaptive Strategy Switching Mechanism

  2021cites this paper
• GDL as a unifying domain description language for declarative automated negotiation

  2021cites this paper
• ANEGMA: an automated negotiation model for e-markets

  2021cites this paper
• Concurrent local negotiations with a global utility function: a greedy approach

  2021cites this paper
• Pareto Bid Estimation for Multi-Issue Bilateral Negotiation under User Preference Uncertainty

  2021cites this paper
• An opponent-adaptive strategy to increase utility and fairness in agents’ negotiation

  2021influential citation
• Can Social Agents Efficiently Perform in Automated Negotiation?

  2021cites this paper
• A BOA-based adaptive strategy with multi-party perspective for automated multilateral negotiations

  2020cites this paper
• Opponent's Preference Estimation Considering Their Offer Transition in Multi-Issue Closed Negotiations

  2020cites this paper
• Optimal Deterministic Time-Based Policy in Automated Negotiation

  2020cites this paper
• Deep reinforcement learning for acceptance strategy in bilateral negotiations

  2020cites this paper
• Lifecycle Model of a Negotiation Agent: A Survey of Automated Negotiation Techniques

  2020cites this paper
• Learnable Strategies for Bilateral Agent Negotiation over Multiple Issues

  2020cites this paper
• RLBOA: A Modular Reinforcement Learning Framework for Autonomous Negotiating Agents

  2019cites this paper
• IQSon: A Context-aware Negotiator Agent with Enhanced Utility and Decision Making Speed

  2018influential citation
• Phoenix: A Threshold Function Based Negotiation Strategy Using Gaussian Process Regression and Distance-Based Pareto Frontier Approximation

  2017cites this paper
• Pars Agent: Hybrid Time-Dependent, Random and Frequency-Based Bidding and Acceptance Strategies in Multilateral Negotiations

  2017cites this paper
• POPPONENT: Highly accurate, individually and socially efficient opponent preference model in bilateral multi issue negotiations (Extended Abstract)

  2017cites this paper
• The effect of online opponent modeling on utilities of agents in bilateral negotiation

  2017cites this paper
• A Framework for Argumentation-Based AgentNegotiation in Uncertain Settings

  2016cites this paper
• Negotiation and Collaboration Protocol Based on EbXML Intended to Optimize Port Processes

  2016cites this paper
• An Introduction to the Pocket Negotiator: A General Purpose Negotiation Support System

  2016cites this paper
• Human-Computer Interaction in E-Negotiation

  2016cites this paper
• Agent-Based Cloud Computing: A Survey

  2016cites this paper
• Measuring the Performance of Online Opponent Models

  2016cites this paper
• A Component-Based Architecture to Explore the Space of Negotiation Strategies

  2016cites this paper
• POPPONENT: Highly accurate, individually and socially efficient opponent preference model in bilateral multi issue negotiations

  2016cites this paper
• A Comparative Study on Vector Similarity Methods for Offer Generation in Multi-attribute Negotiation

  2015cites this paper
• DOPPONENT: A Socially Efficient Preference Model of Opponent in Bilateral Multi Issue Negotiations

  2015influential citation
• Intelligent agents for automated cloud computing negotiation

  2014influential citation
• Optimal Non-adaptive Concession Strategies with Incomplete Information

  2014cites this paper
• BraveCat: Iterative Deepening Distance-Based Opponent Modeling and Hybrid Bidding in Nonlinear Ultra Large Bilateral Multi Issue Negotiation Domains

  2014cites this paper
• A study on multi-issue negotiation with incomplete information

  2014cites this paper
• What to Bid and When to Stop

  2014cites this paper
• An Adaptive Negotiation Strategy for Real-Time Bilateral Negotiations

  2014cites this paper
• A Greedy Coordinate Descent Algorithm for High-Dimensional Nonlinear Negotiation

  2014cites this paper
• The Significance of Bidding, Accepting and Opponent Modeling in Automated Negotiation

  2014cites this paper
• Predicting the Performance of Opponent Models in Automated Negotiation

  2013cites this paper
• Towards Understanding Negotiation Strategies: Analyzing the Dynamics of Strategy Components

  2013influential citation
• Designing an automated negotiator: learning what to bid and when to stop

  2013cites this paper
• Measuring the Performance of Online Opponent Models in Automated Bilateral Negotiation

  2012influential citation
• Evaluating the Quality of Opponent Models in Automated Bilateral Negotiations

  2012cites this paper
• Multi-deal Negotiation Blue Sky Ideas Track

  year unknowncites this paper
• Learning in automated negotiation

  year unknowncites this paper