Modelling and Reasoning about Remediation Actions in BDI Agents

João Faccin (Universidade Federal do Rio Grande do Sul), Ingrid Nunes (Universidade Federal do Rio Grande do Sul & TU Dortmund)

Abstract

Remediation actions are performed in scenarios in which consequences of a problem should be promptly mitigated when its cause takes too long to be addressed or is unknown. Existing approaches that address these scenarios are application-specific. Nevertheless, the reasoning about remediation actions as well as cause identification and resolution, in order to address problems permanently, can be abstracted in such a way that they can be incorporated to agents. In this paper, we present a domain-independent approach that extends the belief-desire-intention (BDI) architecture, providing means of modelling and reasoning over causal relationships and remediation actions.