Agent-Based Autonomous Systems and Abstraction Engines: Theory Meets Practice
نویسندگان
چکیده
ion Engines: Theory meets Practice Louise A. Dennis, Jonathan M. Aitken, Joe Collenette, Elisa Cucco, Maryam Kamali, Owen McAree, Affan Shaukat, Katie Atkinson, Yang Gao, Sandor Veres, and Michael Fisher 1 Department of Computer Science, University of Liverpool 2 Department of Autonomous Systems and Control, University of Sheffield 3 Surrey Space Centre, University of Surrey Abstract. We report on experiences in the development of hybrid autonomous systems where high-level decisions are made by a rational agent. This rational agent interacts with other sub-systems via an abstraction engine. We describe three systems we have developed using the EASS BDI agent programming language and framework which supports this architecture. As a result of these experiences we recommend changes to the theoretical operational semantics that underpins the EASS framework and present a fourth implementation using the new semantics. We report on experiences in the development of hybrid autonomous systems where high-level decisions are made by a rational agent. This rational agent interacts with other sub-systems via an abstraction engine. We describe three systems we have developed using the EASS BDI agent programming language and framework which supports this architecture. As a result of these experiences we recommend changes to the theoretical operational semantics that underpins the EASS framework and present a fourth implementation using the new semantics.
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