Abstract
In this contribution, we propose an extension of the Knowledge Level as introduced by Newell in the A.I. context and refined by Jennings in agent-based software engineering to include also the agent environment as a first-class analysis/design dimension. We revisit and refine the Agents & Artifacts (A &A) conceptual model to be at the Knowledge Level by explicitly introducing a semantic layer based on Knowledge Graphs, and we discuss the benefits with some practical examples.
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See the W3C Web of Things: https://www.w3.org/TR/wot-architecture/.
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Burattini, S., Ciortea, A., Galassi, M., Ricci, A. (2023). Towards Framing the Agents & Artifacts Conceptual Model at the Knowledge Level: First Ideas and Experiments. In: Ciortea, A., Dastani, M., Luo, J. (eds) Engineering Multi-Agent Systems. EMAS 2023. Lecture Notes in Computer Science(), vol 14378. Springer, Cham. https://doi.org/10.1007/978-3-031-48539-8_14
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