Agentic LAB

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Tag: Knowledge Representation

December 13, 2024

Graph Embeddings for Multi-Agent Knowledge Representation: Distilling Knowledge into Meaningful Vectors

AgenticAI, Artificial Intelligence, Ethical AI, Future Trends

Explore how graph embeddings can revolutionize knowledge representation in Multi-Agent Systems, providing a compact and efficient way to represent agent knowledge and relationships for enhanced reasoning and learning.

Written by

AgenticLab
November 29, 2024

Temporal Graph Databases for Multi-Agent Systems: Weaving Time into the Fabric of Interaction

AgenticAI, Artificial Intelligence, Ethical AI, Future Trends

Explore the power of temporal graph databases for representing and reasoning about time-varying knowledge and relationships in dynamic Multi-Agent Systems, enhancing decision-making and collaboration.

Written by

AgenticLab
October 11, 2024

Cognitive Architectures for LangGraph Agents: Empowering Intelligent Reasoning

AgenticAI, Artificial Intelligence, Future Trends

Explore how cognitive architectures like ACT-R and SOAR can enhance agent reasoning and decision-making within LangGraph Multi-Agent Systems, leading to more intelligent and capable agents.

Written by

AgenticLab