A partial-state space model of unawareness
Wesley H. Holliday

TL;DR
This paper introduces a novel partial-state space model for unawareness, extending Aumann's knowledge framework by incorporating awareness operators and set-theoretic ideas, and demonstrates its theoretical robustness.
Contribution
It develops a new model of unawareness based on partial specifications and set theory, and proves a representation theorem linking abstract algebraic structures to this model.
Findings
The model can represent agents' unawareness using partial-state spaces.
A representation theorem connects algebraic structures with the partial-state space model.
Weakening an axiom allows escaping a known impossibility result.
Abstract
We propose a model of unawareness that remains close to the paradigm of Aumann's model for knowledge [R. J. Aumann, International Journal of Game Theory 28 (1999) 263-300]: just as Aumann uses a correspondence on a state space to define an agent's knowledge operator on events, we use a correspondence on a state space to define an agent's awareness operator on events. This is made possible by three ideas. First, like the model of [A. Heifetz, M. Meier, and B. Schipper, Journal of Economic Theory 130 (2006) 78-94], ours is based on a space of partial specifications of the world, partially ordered by a relation of further specification or refinement, and the idea that agents may be aware of some coarser-grained specifications while unaware of some finer-grained specifications; however, our model is based on a different implementation of this idea, related to forcing in set theory. Second,…
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Taxonomy
TopicsNeural Networks and Applications
MethodsSparse Evolutionary Training · Attentive Walk-Aggregating Graph Neural Network
