The core architecture of AgentVerse is divided into two categories: task-solving frameworks and simulated environment frameworks. The task resolution framework is mainly for scenarios that require multiple intelligences to collaborate on complex tasks, for example:
- Software development: multiple intelligences are responsible for requirements analysis, coding and testing respectively
- Consulting services: forming a professional team to answer users' questions
- Data analysis: collaborating on large-scale data sets
The simulated environment framework, on the other hand, is suitable for behavioral observation and interaction research scenarios, including:
- Educational research: creating classroom environments to observe instructional interactions
- Social experiments: designing gaming scenarios such as the Prisoner's Dilemma
- Game Development: Building NPC Intelligent Body Interaction Systems
Both types of frameworks support mainstream LLM models and can flexibly adjust the number of intelligences and behavioral patterns through configuration files.
This answer comes from the articleAgentVerse: An Open Source Framework for Deploying Multi-Intelligence Collaboration and SimulationThe
May not be reproduced without permission:AI productivity tools " What is the core functional architecture of AgentVerse? What scenarios are each of these two types of frameworks applicable to?
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