AgentSpeak(L): BDI agents speak out in a logical computable language
MAAMAW '96 Proceedings of the 7th European workshop on Modelling autonomous agents in a multi-agent world : agents breaking away: agents breaking away
Programming Multi-Agent Systems in AgentSpeak using Jason (Wiley Series in Agent Technology)
Programming Multi-Agent Systems in AgentSpeak using Jason (Wiley Series in Agent Technology)
Developing Multi-Agent Systems with JADE (Wiley Series in Agent Technology)
Developing Multi-Agent Systems with JADE (Wiley Series in Agent Technology)
A flexible framework for verifying agent programs
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
A common semantic basis for BDI languages
ProMAS'07 Proceedings of the 5th international conference on Programming multi-agent systems
From bogtrotting to herding: a UCD perspective
Annals of Mathematics and Artificial Intelligence
AF-Raf: an agent-oriented programming language with algebraic data types
Proceedings of the compilation of the co-located workshops on DSM'11, TMC'11, AGERE!'11, AOOPES'11, NEAT'11, & VMIL'11
ProMAS'11 Proceedings of the 9th international conference on Programming Multi-Agent Systems
An empirical study of cognitive agent programs
Multiagent and Grid Systems - Principles and Practice of Multi-Agent Systems
FRIENDs: Brain-monitoring agents for adaptive socio-technical systems
Multiagent and Grid Systems
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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.