due to his nature, man always asks questions about the meaning of things. all branches of knowledge and civilization are the answers he has given to the mystery of being, of his own and of other things. here, the question about the meaning of action is also considerably important. in this study, we are going to analyze the answers given from a sociological view to the question about the meaning...

In 1971 I wrote a paper attempting to relate some old philosophical issues about representation and reasoning to problems in Artificial Intelligence. A major theme of the paper was the importance of distinguishing “analogical” from “Fregean” representations. I still think the distinction is important, though perhaps not as important for current problems in A.I. as I used to think. In this paper...

Moral reasoning is important to model accurately as AI systems become ever more integrated into our lives. Moral reasoning is rapid and unconscious; analogical reasoning, which can be unconscious, is a promising approach to model moral reasoning. This paper explores the use of analogical generalizations to improve moral reasoning. Analogical reasoning has already been used successfully to model...

Moral reasoning is important to model accurately as AI systems become ever more integrated into our lives. Moral reasoning is rapid and unconscious; analogical reasoning, which can be unconscious, is a promising approach to model moral reasoning. This paper explores the use of analogical generalizations to improve moral reasoning. Analogical reasoning has already been used successfully to model...

Analogical modeling is a supervised exemplar-based approach that has been widely applied to predict linguistic behavior. The paradigm has been well documented in the linguistics and cognition literature, but is less well known to the machine learning community. This paper sets out some of the basics of the approach, including a simplified example of the fundamental algorithm’s operation. It the...

Developing computer-based model management systems has been a focus of recent research in decision support. In this paper, we explore the use of analogical reasoning and case-based learning in model management. Analogical reasoning and case-based learning are techniques found useful in human problem solving. They can help model builders apply their modeling experience to construct new models an...