The Theory of Non-Knowledge as a Meta-Logical Optimizer: Applications to Real-World Optimality Problems in Cloud Computing
Year: 2025
Type: article
Abstract: This paper extends the Theory of Non-Knowledge (TNK) to real-world optimality problems, demonstrating its capacity to resolve contradictions in both numerical and non-numerical contexts. We address critiques of TNK's abstraction by providing a formal non-numerical variant of the Traveling Salesman Problem (TSP), illustrating infinitesimal resolution through nullification. Further, we conceptualize a TNK-AI for handling non-quantifiable factors such as ethics and aesthetics. Focusing on cloud computing servers, we model resource allocation and data routing as TSP variants, showing TNK's superiority in achieving epistemic coherence. While TNK resides within the contradictory corpus K, it escapes via self-nullification, embodying the least contradictory framework possible. Results highlight TNK's practical utility in bridging meta-logical abstraction to accessible demonstrations.
Author: Souza, Euclides
Institution: Universidade Federal da Paraíba
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7095065191
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