ARTS: agent-oriented robust transactional system

This paper presents the ARTS (Agent-oriented Robust Transactional System) model, which applies transaction concepts to provide agent developers with high-level support for agent system robustness and reliability. ARTS abstractly considers agents as executors of encapsulated task entities which comply with a set of execution constraints on both normative execution and compensation (repair) semantics. ARTS then defines the task interface in terms of predictable terminating states to support a contract-like interaction among agents. In conjunction with this encapsulation of task semantics, ARTS defines a model for specifying scoped compensation and exception-handling plans for a given task, and for systematically selecting and executing these plans — triggered by subtask events — so that the enclosing task semantics are enforced. These capabilities together define a model that reduces design complexity while increasing system robustness, by allowing an agent developer to compose r...

• Type: Conference
• Year: 2007
• Where: ATAL
• Authors: Mingzhong Wang, Amy Unruh, Kotagiri Ramamohanarao
• Keywords: Agent Developer, ATAL 2007, Task Entities, Task Semantics