神奈川県茅ヶ崎市 A difference among informations, observational sentences, facts, rules and knowledges and the meanings of them are explained in terms of making an inductive inference about an accommodation of knowledges being in store for a deductive knowledge base (DKB). A model-inference algorithm, a contradiction-backtracing algorithm and a refinement algorithm are devised and presented here appearing in the concrete form in order to secure the DKB which adopts a Horn logic. It should be noted that the inductive inference of theories from facts proposed by E. Y. Shapiro is represented within the scope of the Horn logic which excludes the most general atom from the refinement algorithm
In this paper, we demonstrate how different forms of background knowledge can be integrated with an ...
The field of Knowledge Representation is devoted to the study of how knowledge can be represented an...
We propose an intersubjective epistemic approach to foundations of probability theory and statistica...
A framework for inductive inference in logic is presented: a Model Inference Problem is defined, and...
Inductive Inference is reasoning that justifies change from one state of full belief or absolute cer...
The investigations within the joint research project GOSLER have been focussed on theoretical proble...
The investigations within the joint research project GOSLER have been focussed on theoretical proble...
Analogical reasoning derives a new fact based on the analogous facts previously known. Inductive inf...
In this paper, we demonstrate how different forms of background knowledge can be integrated with an ...
Abstract. The general purpose of this paper is to demonstrate through a well defined example how phi...
This paper introduces a logical model of inductive generalization, and specifically of the machine l...
Inductive reasoning entails using existing knowledge or observations to make predictions about novel...
Abstract. This paper presents a new semantics for inductive empirical knowledge. The epistemic agent...
This paper introduces a logical model of inductive generalization, and specif-ically of the machine ...
AbstractThis paper introduces a logical model of inductive generalization, and specifically of the m...
In this paper, we demonstrate how different forms of background knowledge can be integrated with an ...
The field of Knowledge Representation is devoted to the study of how knowledge can be represented an...
We propose an intersubjective epistemic approach to foundations of probability theory and statistica...
A framework for inductive inference in logic is presented: a Model Inference Problem is defined, and...
Inductive Inference is reasoning that justifies change from one state of full belief or absolute cer...
The investigations within the joint research project GOSLER have been focussed on theoretical proble...
The investigations within the joint research project GOSLER have been focussed on theoretical proble...
Analogical reasoning derives a new fact based on the analogous facts previously known. Inductive inf...
In this paper, we demonstrate how different forms of background knowledge can be integrated with an ...
Abstract. The general purpose of this paper is to demonstrate through a well defined example how phi...
This paper introduces a logical model of inductive generalization, and specifically of the machine l...
Inductive reasoning entails using existing knowledge or observations to make predictions about novel...
Abstract. This paper presents a new semantics for inductive empirical knowledge. The epistemic agent...
This paper introduces a logical model of inductive generalization, and specif-ically of the machine ...
AbstractThis paper introduces a logical model of inductive generalization, and specifically of the m...
In this paper, we demonstrate how different forms of background knowledge can be integrated with an ...
The field of Knowledge Representation is devoted to the study of how knowledge can be represented an...
We propose an intersubjective epistemic approach to foundations of probability theory and statistica...