Advances in Machine Learning & Artificial Intelligence(AMLAI)

FPT University, AI Researcher/ Engineer, Vietnam

Publications

• Research Article   
  PBFT-Backed Semantic Voting for Multi-Agent Memory Pruning
  Author(s): Bach Duong*
  
  The proliferation of multi-agent systems (MAS) in complex, dynamic environments necessitates robust and efficient mechanisms for managing shared knowledge. A critical challenge is ensuring that distributed memories remain synchronized, relevant, and free from the accumulation of outdated or inconsequential data—a process analogous to biological forgetting. This paper introduces the Co-Forgetting Protocol, a novel, comprehensive framework designed to address this challenge by enabling synchronized memory pruning in MAS. The protocol integrates three key components: (1) context-aware semantic voting, where agents utilize a lightweight DistilBERT model to assess the relevance of memory items based on their content and the current operational context; (2) multi-scale temporal decay functions, which assign diminishing importance to memories based on their age and access frequency acr.. Read More»
  

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