GitHub

rule-audit is a static analyzer for AI system prompts: it parses a prompt into normative rules and reports logical contradictions, coverage gaps, priority ambiguities, meta ...

A complex AI safety prompt can contain rules that conflict under specific conditions. Those conflicts are easy to write and hard to see by eye. rule-audit reads the prompt the way a linter reads code ...
IEEE

Improving the Resource Allocation in IoT Systems Based on the Integration of Reinforcement Learning and Rule-Based Approaches in Multi-agent Systems

Abstract: In recent years, the spread of Multi-agent Systems (MAS) and Reinforcement Learning (RL) as a subdomain of Machine Learning (ML) has affected many fields, such as Cyber-Physical Systems (CPS ...