Methodology EngineeringR: a proposal for situation-specific methodology construction
Challenges and strategies for research in systems development
The Gaia Methodology for Agent-Oriented Analysis and Design
Autonomous Agents and Multi-Agent Systems
Engagement and Cooperating in Motivated Agent Modelling
Proceedings of the First Australian Workshop on DAI: Distributed Artificial Intelligence: Architecture and Modelling
Aspect-Oriented Software Development with Use Cases (Addison-Wesley Object Technology Series)
Aspect-Oriented Software Development with Use Cases (Addison-Wesley Object Technology Series)
PrIMe: a software engineering methodology for developing provenance-aware applications
Proceedings of the 6th international workshop on Software engineering and middleware
Modelling the provenance of data in autonomous systems
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Prometheus: a methodology for developing intelligent agents
AOSE'02 Proceedings of the 3rd international conference on Agent-oriented software engineering III
Allocating goals to agent roles during MAS requirements engineering
AOSE'06 Proceedings of the 7th international conference on Agent-oriented software engineering VII
Hermes: designing goal-oriented agent interactions
AOSE'05 Proceedings of the 6th international conference on Agent-Oriented Software Engineering
Aspects in agent-oriented software engineering: lessons learned
AOSE'05 Proceedings of the 6th international conference on Agent-Oriented Software Engineering
The Foundations for Provenance on the Web
Foundations and Trends in Web Science
Processes engineering and AOSE
AOSE'10 Proceedings of the 10th international conference on Agent-oriented software engineering
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The products of systems cannot always be judged at facevalue: the process by which they were obtained is also important. Forinstance, the rigour of a scientific experiment, the ethics with which anitem was manufactured and the use of services with particular licensingall affect how the results of those processes are valued. However,in systems of autonomous agents, and particularly those with multipleindependent contributory organisations, the ability of agents to choosehow their goals or responsibilities are achieved can hide such processqualities from users. The issue of ensuring that users are able to checkthese process qualities is a software engineering one: the developer mustdecide to ensure that adequate data is recorded regarding processes andsafeguards implemented to ensure accuracy. In this paper, we describeAgentPrIMe, an adjunct to existing agent-oriented methodologies thatallows system designs to be adapted to give users confidence in the resultsthey produce. It does this by adaptations to the design for documentation,corroboration, independent storage and accountability.