ANAC-agents is an open-source repository of automated negotiation agent implementations designed for bilateral multi-issue bargaining scenarios. It offers a variety of strategic agents compliant with the ANAC competition protocols, enabling researchers and developers to benchmark performance, customize utility functions, and test new negotiation algorithms. The package includes utilities for domain definitions, bid generation, and acceptance strategies, supporting rapid experimentation in academic or industrial negotiation research.
AI Platforms & Frameworks
Tool Libraries
#automated negotiation
#negotiation agents
#Python Framework
#utility modeling
#bargaining strategies
#Data Analysis
#agent customization
#bilateral negotiations
#ANAC competition
#tournament negotiation
#Strategic Decision-Making
#research toolkit
#negotiation simulation
#community repository
#prototyping agents
#Performance Metrics
#logging utilities
#algorithm testing
#fair benchmarking
#negotiation dynamics
...
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ANAC-agents
ANAC-agents is an open-source repository of automated negotiation agent implementations designed for bilateral multi-issue bargaining scenarios. It offers a variety of strategic agents compliant with the ANAC competition protocols, enabling researchers and developers to benchmark performance, customize utility functions, and test new negotiation algorithms. The package includes utilities for domain definitions, bid generation, and acceptance strategies, supporting rapid experimentation in academic or industrial negotiation research.
AI Platforms & Frameworks
Tool Libraries
#automated negotiation
#negotiation agents
#Python Framework
#utility modeling
#bargaining strategies
#Data Analysis
#agent customization
#bilateral negotiations
#ANAC competition
#tournament negotiation
#Strategic Decision-Making
#research toolkit
#negotiation simulation
#community repository
#prototyping agents
#Performance Metrics
#logging utilities
#algorithm testing
#fair benchmarking
#negotiation dynamics
...
Featured
What is ANAC-agents?
ANAC-agents is a Python-based framework that centralizes multiple negotiation agent implementations for the Automated Negotiating Agents Competition (ANAC). Each agent within the repository embodies distinct strategies for utility modeling, proposal generation, concession tactics, and acceptance criteria, facilitating comparative studies and rapid prototyping. Users can define negotiation domains with custom issues and preference profiles, then simulate bilateral negotiations or tournament-style competitions across agents. The toolkit includes configuration scripts, evaluation metrics, and logging utilities to analyze negotiation dynamics. Researchers and developers can extend existing agents, test novel algorithms, or integrate external learning modules, accelerating innovation in automated bargaining and strategic decision-making under incomplete information.
Who will use ANAC-agents?
- Automated negotiation researchers
- Multi-agent systems developers
- AI academics and students
- Developers of strategic negotiation applications
How to use the ANAC-agents?
- Step1: Clone the ANAC-agents repository from GitHub.
- Step2: Install Python 3.x and required dependencies via pip.
- Step3: Define negotiation domain file specifying issues and preferences.
- Step4: Configure agent selection and tournament parameters in config files.
- Step5: Run the simulation script to execute bilateral negotiations or tournaments.
- Step6: Review logs and evaluation metrics for performance analysis.
- Step7: Extend or modify agent strategy code for customization or research experiments.
Platform
- mac
- windows
- linux
ANAC-agents's Core Features & Benefits
The Core Features
- Pre-implemented negotiation strategies for multiple ANAC agents
- Support for bilateral and tournament-style negotiations
- Domain configuration with custom issues and utility functions
- Logging, evaluation metrics, and result visualization
- Extendable agent code base for prototyping
The Benefits
- Accelerates research by providing ready-to-use agents
- Standardized framework for fair benchmarking
- Modular design for easy customization
- Comprehensive logging for in-depth analysis
- Community-driven repository with latest competition agents
ANAC-agents's Main Use Cases & Applications
- Benchmarking negotiation algorithms in academic research
- Developing custom bargaining strategies for automated negotiations
- Teaching multi-agent systems and game theory concepts
- Evaluating the impact of preference modeling on negotiation outcomes
FAQs of ANAC-agents
ANAC-agents Company Information
ANAC-agents Reviews
5/5
ANAC-agents's Main Competitors and alternatives?
- Genius Negotiation Framework
- NegMAS
- AutoNeg
- BilateralANAC
- NegotiatePy
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