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ATAL
2007
Springer

ARTS: agent-oriented robust transactional system

11 years 11 months ago
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...
Mingzhong Wang, Amy Unruh, Kotagiri Ramamohanarao
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where ATAL
Authors Mingzhong Wang, Amy Unruh, Kotagiri Ramamohanarao
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