Titlebook: Universal Semantic Communication; Brendan Juba Book 2011 Springer-Verlag Berlin Heidelberg 2011 communication.computational learning theor

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Theory of finite goal-oriented communication, in polynomial time whenever some other polynomial time agent could communicate with that partner. We then prove some basic results about this model—in particular, theorems characterizing when universal communication is possible with a given class of partners.

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Theory of goal-oriented communication in infinite executions,en see at the end of this chapter, in Section?6.4, that this new framework can even capture the finite-execution framework as a special case, and so the new framework will subsume the earlier framework, at the cost of some (moderate) additional technical complexity.

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Verifiable goals for communication,ples of such sensing functions: Example?2.23, a sensing function for the goal of printing described in Example?2.8; and Example?2.24, a sensing function for the goal of computation, first described in Section?1.4.2 and then formally revisited in Example?2.17. It is not immediately clear how many mor

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