Mathematical methods in artificial intelligence
Mathematical methods in artificial intelligence
The computer science and engineering handbook
The computer science and engineering handbook
A Doctrine of Cognitive Informatics (CI)
Fundamenta Informaticae - Cognitive Informatics, Cognitive Computing, and Their Denotational Mathematical Foundations (I)
Software Engineering Foundations: A Software Science Perspective
Software Engineering Foundations: A Software Science Perspective
Generalized theory of uncertainty (GTU)-principal concepts and ideas
Computational Statistics & Data Analysis
On contemporary denotational mathematics for computational intelligence
Transactions on computational science II
Perspectives on the Field of Cognitive Informatics and its Future Development
International Journal of Cognitive Informatics and Natural Intelligence
International Journal of Cognitive Informatics and Natural Intelligence
International Journal of Cognitive Informatics and Natural Intelligence
Semantic Manipulations and Formal Ontology for Machine Learning based on Concept Algebra
International Journal of Cognitive Informatics and Natural Intelligence
Inference Algebra IA: A Denotational Mathematics for Cognitive Computing and Machine Reasoning II
International Journal of Cognitive Informatics and Natural Intelligence
Adaptive Study Design Through Semantic Association Rule Analysis
International Journal of Software Science and Computational Intelligence
Formal Rules for Fuzzy Causal Analyses and Fuzzy Inferences
International Journal of Software Science and Computational Intelligence
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Human thought, perception, reasoning, and problem solving are highly dependent on causal inferences. This paper presents a set of cognitive models for causation analyses and causal inferences. The taxonomy and mathematical models of causations are created. The framework and properties of causal inferences are elaborated. Methodologies for uncertain causal inferences are discussed. The theoretical foundation of humor and jokes as false causality is revealed. The formalization of causal inference methodologies enables machines to mimic complex human reasoning mechanisms in cognitive informatics, cognitive computing, and computational intelligence.