Towards a general theory of action and time
Artificial Intelligence
A syntactic theory of belief and action
Artificial Intelligence
Temporal logics in AI: semantical and ontological considerations
Artificial Intelligence
Making situation calculus indexical
Proceedings of the first international conference on Principles of knowledge representation and reasoning
A formal theory of indexical knowledge and action
A formal theory of indexical knowledge and action
A formal account of self-knowledge and action
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
Knowledge preconditions for actions and plans
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 2
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Robots act upon and perceive the world from a particular perspective. It is important to recognize this relativity to perspective if one is not to be overly demanding in specifying what they need to know in order to be able to achieve goals through action. In this paper, we show how a formal theory of knowledge and action proposed in (Lespérance 1989) can be used to formalize several kinds of situations drawn from a robotics domain, where indexical knowledge is involved. Several examples treated deal with the fact that ability to act upon an object does not require de re knowledge of the object or its absolute position; knowledge of its relative position is sufficient. It is shown how the fact that perception yields indexical knowledge can be captured. We also point out the value of being able to relate indexical knowledge and objective knowledge within the same formalism through an example involving the use of a map for navigation. Finally, we discuss a problem raised by some higher-level parametrized actions and propose a solution.