We present an informational view of classical propositional logic that stems from a kind of informational semantics whereby the meaning of a logical operator is specified solely in terms of the information that is actually possessed by an agent. In this view the inferential power of logical agents is naturally bounded by their limited capability of manipulating "virtual information", namely information that is not implicitly contained in the data. Although this informational semantics cannot be expressed by any finitely-valued matrix, it can be expressed by a non-deterministic 3-valued matrix that was first introduced by W.V.O. Quine, but ignored by the logical community. Within the general framework presented in [21] we provide an in-depth discussion of this informational semantics and a detailed analysis of a specific infinite hierarchy of tractable approximations to classical propositional logic that is based on it. This hierarchy can be used to model the inferential power of resource-bounded agents and admits of a uniform proof-theoretical characterization that is half-way between a classical version of Natural Deduction and the method of semantic tableaux.Keywords: Classical Propositional Logic, Informational Semantics, Non-deterministic matrices, Computational Complexity, Natural Deduction sep Semantic Tableaux.$ This paper elaborates on ideas and results arising from my collaboration with Marcelo Finger, Luciano Floridi and Dov Gabbay [22,21] and is based on an invited talk given at the 8th Workshop on Logical and Semantic Frameworks with Applications (LSFA) held in São Paulo on 2-3 September 2013. A preliminary and partial version was published in the proceedings of the workshop [20]. I wish to thank Maribel Fernandez and Marcelo Finger for inviting me to the workshop and all the participants for an interesting discussion. I also wish to thanks two anonymous referees for valuable comments and suggestions.