Toward a Logic of Everyday Reasoning
نویسنده
چکیده
Logic should return its focus to valid reasoning in real-world situations. Since classical logic only covers valid reasoning in a highly idealized situation, there is a demand for a new logic for everyday reasoning that is based on more realistic assumptions, while still keeps the general, formal, and normative nature of logic. NAL (Non-Axiomatic Logic) is built for this purpose, which is based on the assumption that the reasoner has insufficient knowledge and resources with respect to the reasoning tasks to be carried out. In this situation, the notion of validity has to be re-established, and the grammar rules and inference rules of the logic need to be designed accordingly. Consequently, NAL has features very different from classical logic and other non-classical logics, and it provides a coherent solution to many problems in logic, artificial intelligence, and cognitive science. Keyword: non-classical logic, uncertainty, openness, relevance, validity 1 Logic and Everyday Reasoning 1.1 The historical changes of logic In a broad sense, the study of logic is concerned with the principles and forms of valid reasoning, inference, and argument in various situations. The first dominating paradigm in logic is Aristotle’s Syllogistic [Aristotle, 1882], now usually referred to as traditional logic. This study was carried by philosophers and logicians including Descartes, Locke, Leibniz, Kant, Boole, Peirce, Mill, and many others [Bocheński, 1970, Haack, 1978, Kneale and Kneale, 1962]. In this tradition, the focus of the study is to identify and to specify the forms of valid reasoning Pei Wang Department of Computer and Information Sciences, Temple University, Philadelphia, USA e-mail: [email protected]
منابع مشابه
Fuzzy Relevant Logic: What Is It and Why Study It?
For any correct argument in scientific reasoning as well as our everyday reasoning, the premises of the argument must be in some way relevant to the conclusion of that argument, and vice versa. On the other hand, in scientific reasoning as well as our everyday reasoning, many arguments may be correct to some degree, and therefore, a reasoning consisting of such fuzzy arguments is approximate. A...
متن کاملROBUSTNESS OF THE TRIPLE IMPLICATION INFERENCE METHOD BASED ON THE WEIGHTED LOGIC METRIC
This paper focuses on the robustness problem of full implication triple implication inference method for fuzzy reasoning. First of all, based on strong regular implication, the weighted logic metric for measuring distance between two fuzzy sets is proposed. Besides, under this metric, some robustness results of the triple implication method are obtained, which demonstrates that the triple impli...
متن کاملExperience Based Nonmonotonic Reasoning
Within everyday reasoning we often use argumentation patterns that employ the rather vague notion of something being normally true. This form of reasoning is usually captured using Reiter’s Default Logic. However, in Default Logic one has to make explicit the rules which are to be used for reasoning and which are supposed to be normally true. This is a bit contrary to the everyday situation whe...
متن کاملG. Quantum Probability in Cognition G Quantum Probability in Cognition G.1 Theories of Decision Making
How do people make decisions under uncertainty? There have been three major phases of models. (i) Logic. From Aristotle’s time, the most common model of human thinking has been formal logic, especially deductive logic. For example, the title of George Boole’s book, in which he introduced Boolean algebra, was called The Laws of Thought, and that is what he supposed it to be. The first AI program...
متن کاملToward extended fuzzy logic - A first step
Fuzzy logic adds to bivalent logic an important capability—a capability to reason precisely with imperfect information. Imperfect information is information which in one or more respects is imprecise, uncertain, incomplete, unreliable, vague or partially true. In fuzzy logic, results of reasoning are expected to be provably valid, or p-valid for short. Extended fuzzy logic adds an equally impor...
متن کامل