Memory Management in Resource-Bounded Agents
arXiv:1909.09454v14 citations
Originality Synthesis-oriented
AI Analysis
This work addresses memory management for multi-agent systems, but it appears incremental as it builds directly on prior research.
The paper tackles the problem of managing memory in resource-bounded agents by extending a previous work to incorporate the concept of time, aiming to improve modeling in multi-agent systems.
In artificial intelligence, multi agent systems constitute an interesting typology of society modeling, and have in this regard vast fields of application, which extend to the human sciences. Logic is often used to model such kind of systems as it is easier to verify the explainability and validation, so for this reason we have tried to manage agents' memory extending a previous work by inserting the concept of time.