Inferring and Conveying Intentionality: Beyond Numerical Rewards to Logical Intentions. (arXiv:2207.05058v1 [cs.AI])

Shared intentionality is a critical component in developing conscious AI
agents capable of collaboration, self-reflection, deliberation, and reasoning.
We formulate inference of shared intentionality as an inverse reinforcement
learning problem with logical reward specifications. We show how the approach
can infer task descriptions from demonstrations. We also extend our approach to
actively convey intentionality. We demonstrate the approach on a simple
grid-world example.



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