NDLI: Imperfect commonsense granular determinism

Content Provider	IEEE Xplore Digital Library
Author	Maziack, L.J.
Copyright Year	2005
Description	Author affiliation: Appl. Artificial Intelligence Lab., Cincinnati Univ., OH, USA (Maziack, L.J.)
Abstract	Occurrences in nature or social or psychological phenomena are mostly causally determined by preceding events or natural laws. Deterministic knowledge is often both imperfect and granular. Causal reasoning perceptions play an essential role in human decision-making. Relationships with a known cause/effect relationship have a high decision value. In many ways, the interest in data mining is the hope of discovering causal, or at least, predictive relationships. Causality is often imprecisely granular. Knowledge of at least some causal elements is inherently imperfect. Causal complexes are groupings of smaller causal relations that make up a large grained causal object. Explorations often use commonsense reasoning. Usually, commonsense reasoning is more successful in reasoning about a few large-grained events than many fine-grained events. However, the larger-grained causal objects are necessarily more imprecise. A satisfying approach might be to develop large-grained solutions and then only use the finer-grain when the impreciseness of the large-grain is unsatisfactory. Questions concerning imprecise causal complexes are: To what extent can the causal grain size be increased and still have useful causal information? Conversely, can a large-grained causal event be the starting point and then lead to the development of a finer-grained structure? Can the imprecision in changing grain size be measured and/or controlled? Can causal complexity burdens be reduced?.
Sponsorship	IEEE Comput. Intelligence Soc
Starting Page	565
Ending Page	570
File Size	2078767
Page Count	6
File Format	PDF
ISBN	0780390172
DOI	10.1109/GRC.2005.1547355
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-07-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Grain size Physics computing Decision making Laboratories Humans Psychology Size measurement Data mining Size control Artificial intelligence
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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