Multi-Agent Collaborative Decision System
Language-enhanced LAMP framework featuring Think-Speak-Decide three-stage reasoning pipeline for deep agent collaboration and intelligent decision-making
LAMP Three-Stage Reasoning Pipeline
Language-enhanced Multi-Agent Planning Framework
Think Module - Continuous Reasoning
Hybrid reasoning mechanism with parallel short-term and long-term analysis
- Parallel short-term and long-term reasoning
- Environmental shock detection and severity assessment
- Trend tracking and strategic analysis
Speak Module - Agent Communication
Natural language-based semantic communication protocol between agents
- Multi-candidate message generation with quality scoring
- Belief state management and trust updating
- Shared knowledge base and strategy preference learning
Decide Module - Decision Fusion
Adaptive intelligent decision-making through multi-source information fusion
- Three-source data fusion (numerical, reasoning, belief)
- Weighted scoring and LLM-based decision making
- Fallback mechanism for system stability
Core Capabilities
Eight innovative technical features for enterprise-grade multi-agent collaboration
Intelligent Task Routing
Automatically analyze task complexity and intelligently select single-agent or multi-agent execution strategy
Hybrid Reasoning
Parallel short-term and long-term reasoning focusing on both immediate situations and long-term trends
Semantic Communication
Natural language-based inter-agent communication with rich semantic information and reasoning evidence
Three-Source Decision Fusion
Integrate numerical observations, reasoning analysis, and belief states to generate explainable intelligent decisions
Vectorized Experience Pool
Intelligent experience reuse through vector retrieval accelerates new task planning, reducing planning time by 40-60%
Dynamic Replanning
Automatically trigger replanning when environmental changes detected, optimizing execution plans while preserving completed work
Performance Metrics & Benefits
Experimentally validated performance improvements
Technical Architecture Flow
End-to-end processing from task receipt to execution completion
Intelligent Routing Decision
Utilize LLM to analyze task complexity and automatically select optimal execution strategy
Task Decomposition & Planning
Retrieve similar historical experiences and generate execution plan with DAG dependencies
DAG Concurrent Scheduling
Hierarchical concurrent execution based on topological sorting, maximizing parallelism
LAMP Reasoning & Decision
Think-Speak-Decide three-stage continuous reasoning, communication, and decision fusion
Experience Persistence
Evaluate and store high-quality reasoning trajectories supporting vector retrieval and intelligent reuse
Experience Multi-Agent Collaboration
Discover how LAMP framework can enhance your enterprise intelligence