Abstract
Marlo’s networks of expectation have been developed from a heterogeneous reasoning perspective, allowing a perfect integration of visual, linguistic, chromatic, and numerical information. These networks are logical tree diagrams whose structure consists of nested sets formed by three types of logical nodes: Objects, Or, And. Any node can receive a numerical value that goes from −1 to +1 passing through zero, which can be translated to a chromatic value between red and blue, passing through yellow. These values correspond to natural language expressions: false, probably false, uncertain, probably true, true, or even absurd. That is, the network can be interpreted both through natural language propositions and through rigorous and precise mathematical formulas. In any case, we must bear in mind that cognitive systems, to generate adaptive expectations about resources and threats, have to encode both the qualities of the stimuli and the correlations of their presences (+1) and absences (−1). As a result, we have built a system in which any first-order logical inference can be represented using a very limited number of logic gates. Deductive, inductive, abductive, and even statistical inferences can be explained by the activation and inhibition relationships between the nodes of the sets that we propose here.
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Change history
15 September 2022
In the original version of the chapter, the following belated corrections have been incorporated: The author name “Marcos Bautista L. Aznar” has been changed to “Marcos Bautista López Aznar” in the Frontmatter, Backmatter and in Chapter 17. The correction/erratum chapter and the book have been updated with the change.
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López Aznar, M.B., Címbora Acosta, G., Gadea, W.F. (2022). Marlo’s Networks of Expectations. In: Arai, K. (eds) Intelligent Computing. SAI 2022. Lecture Notes in Networks and Systems, vol 507. Springer, Cham. https://doi.org/10.1007/978-3-031-10464-0_17
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