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Ampliative Patterns in Argumentative Reasoning
"... Abstract—There are good characterizations of ampliative inference in monotonic theories. However, a problem that faces ampliative inference, in particular abduction, is the explanation of anomalous observations, i. e., observations that are contradictory with the current theory. For this reason, in ..."
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Abstract—There are good characterizations of ampliative inference in monotonic theories. However, a problem that faces ampliative inference, in particular abduction, is the explanation of anomalous observations, i. e., observations that are contradictory with the current theory. For this reason
INDUCTIVE INFERENCE AS AMPLIATIVE AND NON MONOTONIC REASONING
"... Inductive Inference is reasoning that justifies change from one state of full belief or absolute certainty to another by adding new information to the initial state that is consistent with it but does not entail it. Inductive inference is, therefore, ampliative. It is also non monotonic. But the dev ..."
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Inductive Inference is reasoning that justifies change from one state of full belief or absolute certainty to another by adding new information to the initial state that is consistent with it but does not entail it. Inductive inference is, therefore, ampliative. It is also non monotonic
Empirical Progress and Ampliative Adaptive Logics
"... In this paper, I present two ampliative adaptive logics: LA and LA k . ..."
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Cited by 7 (4 self)
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In this paper, I present two ampliative adaptive logics: LA and LA k .
Argument Strength, the Toulmin Model, and Ampliative Probability 25 Argument Strength, the Toulmin Model, and Ampliative Probability
"... Abstract: We argue that Cohen’s concept of inductive or ampliative probability facilitates proper explication of sufficient strength for nondemonstrative arguments conforming to the Toulmin model. The data and claims of such arguments are singular statements. We may epistemically classify the warr ..."
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Abstract: We argue that Cohen’s concept of inductive or ampliative probability facilitates proper explication of sufficient strength for nondemonstrative arguments conforming to the Toulmin model. The data and claims of such arguments are singular statements. We may epistemically classify
Ampliative Adaptive Logics and the Foundation of LogicBased Approaches to Abduction
 Logical and Computational Aspects of ModelBased Reasoning
"... In this paper, we propose a reconstruction of logicbased approaches to abductive reasoning in terms of ampliative adaptive logics. The advantages of this reconstruction are important: the resulting logics have a proper proof theory (that leads to justified conclusions even for undecidable fragm ..."
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Cited by 12 (5 self)
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In this paper, we propose a reconstruction of logicbased approaches to abductive reasoning in terms of ampliative adaptive logics. The advantages of this reconstruction are important: the resulting logics have a proper proof theory (that leads to justified conclusions even for undecidable
Material Theory of Induction and Scientific Realism
, 2007
"... John Norton has advanced a general view of induction—Material Theory of Induction—that renders ampliative reasoning in a deep sense local. This paper is a sympathetic appraisal of this view, applying it to the scientific realism debate. It argues that the scientific realist should turn to such local ..."
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John Norton has advanced a general view of induction—Material Theory of Induction—that renders ampliative reasoning in a deep sense local. This paper is a sympathetic appraisal of this view, applying it to the scientific realism debate. It argues that the scientific realist should turn
Logical Models of Argument
 ACM COMPUTING SURVEYS
, 2000
"... Logical models of argument formalize commonsense reasoning while taking process and computation seriously. This survey discusses the main ideas which characterize different logical models of argument. It presents the formal features of a few main approaches to the modeling of argumentation. We trace ..."
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Cited by 194 (39 self)
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Logical models of argument formalize commonsense reasoning while taking process and computation seriously. This survey discusses the main ideas which characterize different logical models of argument. It presents the formal features of a few main approaches to the modeling of argumentation. We
The Feasibility of Defeat in Defeasible Reasoning
 In Proceedings of the 1st International Conference on Knowledge Representation and Reasoning
, 1991
"... Systems of defeasible reasoning are characterized by defeasible proofs, called arguments. I claim that sensible criteria of defeat among arguments in those systems are feasible, be it to a certain extent. As defeat eventually becomes unenforceable, the only option left is to pursue both arguments co ..."
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Cited by 28 (3 self)
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reasoning brings us no more than what was already recorded in the premises. And it is risky, because we might jump to the wrong conclusions. This is, very briefly, the issue of ampliative inference mechanisms. Ampliative inference can be defined as the result of rational nondeterministic non
Formal Patterns of Scienti¯c Reasoning I: A Rational Reconstruction of the Research Programmes of Contemporary Cosmology
"... In this paper we present some guidelines for a particular formalization of patterns of scienti¯c research. We follow closely the methodology of scienti¯c research programmes introduced by Lakatos in the 70s. The formal basis of this rational reconstruction is taken from the methods of defeasible and ..."
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and ampliative reasoning in AI. These are applied to the representation of the process of construction and comparison among di®erent argumental supports for explanations or predictions. This allows a formal representation of the di®erent drives of the programmes when confronted with either positive or negative
Results 1  10
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