Abstract
In this paper we introduce, ROCCA for Rational OpenCog Controlled Agent, an agent, that, as its name suggests, leverages the OpenCog framework to fulfill goals in uncertain environments. It attempts to act rationally, relying on reasoning for both learning and planning. An experiment in a Minecraft environment is provided as a test case.
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References
ROCCA video demonstration (2022). https://youtu.be/rCvQHrJAD2c
ROCCA source code repository (2023). https://github.com/opencog/rocca
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Geisweiller, N., Yusuf, H. (2023). Rational OpenCog Controlled Agent. In: Hammer, P., Alirezaie, M., Strannegård, C. (eds) Artificial General Intelligence. AGI 2023. Lecture Notes in Computer Science(), vol 13921. Springer, Cham. https://doi.org/10.1007/978-3-031-33469-6_10
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