Chance discoveries for making decisions in complex real world
New Generation Computing
Risk Agoras: Dialectical Argumentation for Scientific Reasoning
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Two-Sided Hypotheses Generation for Abductive Analogical Reasoning
ICTAI '99 Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence
Nursing risk management by focusing on critical words or phrases in nurses' conversations
International Journal of Knowledge-based and Intelligent Engineering Systems - Chance discovery
UAHCI '09 Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Addressing Diversity. Part I: Held as Part of HCI International 2009
Relation between abductive and inductive types of nursing risk management
JSAI'06 Proceedings of the 20th annual conference on New frontiers in artificial intelligence
Relation between chance discovery and Black Swan awareness
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part II
What should be abducible for abductive nursing risk management?
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
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Recently, researches on discovery science and knowledge discovery have been carried out in various fields. Basically they are types of learning that learn tendencies from the sets of data of the same or similar categories. In this sense, discovery is to discover the tendencies. As a result, they cannot predict the events that are different from the trend. On the other hand, abduction is thought of as an explanatory reasoning. Indeed, abduction is a reasoning to generate hypotheses to explain an observation. However, the original meaning of abduction was to discover new things that cannot be known in a simple way. In this paper, abduction is defined using the original definition that discovers something that cannot be easily predicted. Then, this paper shows a role of abduction that can suggest or foresee the events that are different from the trend. In fact, Abductive Analogical Reasoning that can generate new hypotheses is adopted to solve the problem.