Welcome to the InfoSci Platform
On Cognitive Models of Causal Inferences and Causation Networks

On Cognitive Models of Causal Inferences and Causation Networks

Yingxu Wang
Copyright: © 2013 |Pages: 11
ISBN13: 9781466626515|ISBN10: 1466626518|EISBN13: 9781466626829
DOI: 10.4018/978-1-4666-2651-5.ch008
Cite Chapter Cite Chapter

MLA

Wang, Yingxu. "On Cognitive Models of Causal Inferences and Causation Networks." Advances in Abstract Intelligence and Soft Computing, edited by Yingxu Wang, IGI Global, 2013, pp. 103-113. https://doi.org/10.4018/978-1-4666-2651-5.ch008

APA

Wang, Y. (2013). On Cognitive Models of Causal Inferences and Causation Networks. In Y. Wang (Ed.), Advances in Abstract Intelligence and Soft Computing (pp. 103-113). IGI Global. https://doi.org/10.4018/978-1-4666-2651-5.ch008

Chicago

Wang, Yingxu. "On Cognitive Models of Causal Inferences and Causation Networks." In Advances in Abstract Intelligence and Soft Computing, edited by Yingxu Wang, 103-113. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-2651-5.ch008

Export Reference

Mendeley
Favorite

Abstract

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.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.