The matching of thought to things, a comparison between the two terms of thought on the one hand and the thing, on the other hand, there are two types of truth:
Logical truth (the congruence of thought with the thing, so if the narration of an accident matches reality, then the narration is true
Existential truth: the conformity of the thing with the imaginary thought that judges it, that is, the conformity of the thing with the mind.
I believe that the truth, in a way, when it descends into the human space, inevitably adheres to his culture, his era, and the influences that surround him.
Dear Rabee Jameel Al-Shammari,
The answer to the most important question in architectural philosophy- is truth exists in architecture - should be sought in the problem of whether thought can correspond to the actual being of a building, understood as it is real-life (buildings live only when people live in them) and the ideal existence of a building in the form of a convergence of the actual with the desired spatial image (when people have a desire to resist their existing natural state). Martin Heidegger came closest to the problem of truth in architecture in his report at the forum in Darmstadt "Man and Space", on September 5, 1951, [In Eduard Führ: “Bauen und Wohnen, Denken. Darmstädter Gespräche des Deutschen Werkbundes. Waxmann, Münster 2000, ISBN 3-89325-819-1]. The answer is this (semantic translation and not literal) - people are forced to seek the truth in architecture when their construction and thoughts come from the notion of "accommodation". That idea helped me increase the life of some projected buildings.
Dear, Dr. Rabee Jameel Al-Shammari,
Probability, on the other hand, has only recently gained attention in the cognitive sciences. One reason for this is that the field has frequently prioritized computational architecture over computer vision (e.g., symbolic rule-based processing vs. connectionist networks). the architecture's implementation of probabilistic or other draw conclusions Another reason is that formal approaches to uncertain reasoning have become more prevalent in psychoanalytic theory and mathematics. Non-probabilistic methods for studying artificial intelligence include default logic, non-monotonic logic, and a variety of heuristic techniques. Another reason is that probabilistic methods were previously thought to be too limited in scope to be useful for cognitive processes defined by linguistic structural descriptions, logical networks of interconnected processing units, and representations.
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