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Jordan, Howell
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Jordan, Howell
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Jordan, Howell
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- PublicationAF-ABLE in the Multi Agent Contest 2009(2009-09)
; ; ; ; ; This is the second year in which a team from University College Dublin has participated in the Multi Agent Contest. This paper describes the system that was created to participate in the contest, along with observations of the team's experiences in the contest. The system itself was built using the AFAPL agent programming language running on the Agent Factory platform. A hybrid control architecture inspired by the SoSAA strategy aided in the separation of concerns between low-level behaviours (such as movement and obstacle evasion) and higher-level planning and strategy.1124 - PublicationSeparation of concerns in hybrid agent and component systemModularising requirements is a classic problem of software engineering; concerns often overlap, requiring multiple dimensions of decomposition to achieve separation. Whenever complete modularity is unachievable, it is important to provide principled approaches to the decoupling of concerns. To this end, this paper discusses the Socially Situated Agent Architecture (SoSAA) - a complete construction methodology, which leverages existing well established research and associated methodologies and frameworks in both the Agent-oriented and Component-based Software Engineering domains. As a software framework, SoSAA is primarily intended to serve as a foundation on which to build agent based applications by promoting separation of concerns in the development of open, heterogeneous, adaptive and distributed systems. While previous work has discussed the design rationale for SoSAA and illustrated its application to the construction of multiagent systems, this paper focuses on the separation of concerns issue. It highlights concerns typically addressed in the development of distributed systems, such as adaptation, concurrency, fault-tolerance. It analyses how a hybrid agent/component integration approach can improve the separation of these concerns by leveraging modularity constructs already available in agent and component systems, and sets clear guidelines on where the different concerns must be addressed within the overall architecture. Finally, this paper provides a first evaluation of the application of our framework by applying well- known metrics to a distributed information retrieval case study, and by discussing how this initial results can be projected to a typical multiagent application developed with the same hybrid approach.
920Scopus© Citations 2 - PublicationAgent Factory: a framework for prototyping logic-based AOP languages(Springer, 2011-10-06)
; ; ; Recent years have seen the emergence of a number of AOP languages. While these can mostly be characterized as logic-oriented languages that map situations to courses of action, they are based on a variety of concepts, resulting in obvious differences in syntax and semantics. Less obviously, the development tools and infrastructure - such as environment integration, reuse mechanisms, debugging, and IDE integration surrounding these languages also vary widely. Two drawbacks of this diversity are: a perceived lack of transferability of knowledge and expertise between languages; and a potential obscuring of the fundamental conceptual differences between languages. These drawbacks can impact on both the languages’ uptake and comparability. In this paper, we present a Common Language Framework that has emerged out of ongoing work on AOP languages that have been deployed through Agent Factory. This framework consists of a set of pre-written components for building agent interpreters, together with a set of tools that can be easily adapted to different AOP languages. Through this framework we have been able to rapidly prototype a range of different AOP languages, one of which is presented as a case study in this paper.560Scopus© Citations 16