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Research on Memory Management and Dynamic Reasoning Methods for Intelligent Agents Based on Large Language Models

Research on Memory Management and Dynamic Reasoning Methods for Intelligent Agents Based on Large Language Models

publishedDate Venue Engineering Advances

Source-permitted summary

Research on Memory Management and Dynamic Reasoning Methods for Intelligent Agents Based on Large Language Models

SourceHill Publishing Group Inc.

Verified by AISci

Public source attached

Source status for this paper in the current AISci reviewed snapshot.

Primary source
Hill Publishing Group Inc.
Correction status
none
Evidence coverage
1 sources / 1 publishers
Last metadata check
Jul 19, 2026
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AI Reading Notes

Core signal

Structured notes generated from source-linked AISci metadata. Treat them as a reading aid, not a substitute for the paper.

Core signal
Research on Memory Management and Dynamic Reasoning Methods for Intelligent Agents Based on Large Language Models
Field context
Foundation Models and Agents
People and labs
Not stated in the reviewed source.
Why it matters
Recent source-backed research output for AISci Stage A browsing.
Limits to check
AISci rank score does not assess scientific quality or citation impact.

Publication facts

Venue
Engineering AdvancesSourceHill Publishing Group Inc.

External IDs

Author order

No reviewed author edge is attached to this output.

Organizations

No source-confirmed author affiliation is attached.

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Timeline

  1. paperResearch on Memory Management and Dynamic Reasoning Methods for Intelligent Agents Based on Large Language Models