Distributed Rule-based Agents with Rule Responder and Reaction RuleML 1.0

Rule Responder is a rule-based multi-agent framework in which agents run platform-specific rule engines as distributed inference services. They communicate with each other using Reaction RuleML as the common rule interchange format, e.g. for question answering or execution of mobile rule code in distributed problem solving, concurrent processing workflows and distributed event/action processing. In this paper we demonstrate the new capabilities of Reaction RuleML 1.0 for supporting the functionalities of Rule Responder such as knowledge interface declarations with signatures, modes, and scopes; distributed knowledge modules with static and dynamic scopes enabling imports and scoped reasoning within metadata-based scopes (closed constructive views) on the knowledge base; messaging reaction rules enabling conversation-scope based interactions between agents interchanging queries, answers, and rulebases; and evaluation and testing of interchanged knowledge bases with intended semantic profiles and self-validating test suites. We demonstrate these Reaction RuleML 1.0 capabilities with our proofof-concept implementation Rule Responder agent architecture and Prova 3.0 rule engine.