Postulates for logic-based argumentation systems
... arguments. An argument is a reason for believing a statement, doing an action, etc. Due to its explanatory power, argumentation has become a hot topic in Artificial Intelligence. It is used for making decisions under uncertainty (e.g., [1–5]), learning rules (e.g., [6–8]), modeling different types o ...
... arguments. An argument is a reason for believing a statement, doing an action, etc. Due to its explanatory power, argumentation has become a hot topic in Artificial Intelligence. It is used for making decisions under uncertainty (e.g., [1–5]), learning rules (e.g., [6–8]), modeling different types o ...
Full-Text PDF
... Interpretability-Accuracy (I-A) Trade-Off [5] and currently is a challenging research issue. Through this, various degrees of interpretability and accuracy of fuzzy systems are obtained and either one of them may be selected depending on the user’s needs and the requirements of application. The iden ...
... Interpretability-Accuracy (I-A) Trade-Off [5] and currently is a challenging research issue. Through this, various degrees of interpretability and accuracy of fuzzy systems are obtained and either one of them may be selected depending on the user’s needs and the requirements of application. The iden ...
artificial intelligence (luger, 6th, 2008)
... The second commitment we made in earlier editions was to the central position of advanced representational formalisms and search techniques in AI methodology. This is, perhaps, the most controversial aspect of our previous editions and of much early work in AI, with many researchers in emergent comp ...
... The second commitment we made in earlier editions was to the central position of advanced representational formalisms and search techniques in AI methodology. This is, perhaps, the most controversial aspect of our previous editions and of much early work in AI, with many researchers in emergent comp ...
A survey of dynamic scheduling in manufacturing systems
... original job starting time, and the deviation from the original sequence. The experimental results showed the effectiveness of the robustness measure due to the fact that the schedule stability can be increased significantly with little or no reduction in makespan. In the same order of idea, Abumaiz ...
... original job starting time, and the deviation from the original sequence. The experimental results showed the effectiveness of the robustness measure due to the fact that the schedule stability can be increased significantly with little or no reduction in makespan. In the same order of idea, Abumaiz ...
Artificial Intelligence Illuminated
... This book is intended for students of computer science at the college level, or students of other subjects that cover Artificial Intelligence. It also is intended to be an interesting and relevant introduction to the subject for other students or individuals who simply have an interest in the subjec ...
... This book is intended for students of computer science at the college level, or students of other subjects that cover Artificial Intelligence. It also is intended to be an interesting and relevant introduction to the subject for other students or individuals who simply have an interest in the subjec ...
A Computational Model of Belief - Rochester CS
... of logical AI is that if we are eventually able to encode enough of human common sense knowledge in logical form, and we develop sufficiently sophisticated inference mechanisms, then this mechanical manipulation of symbols will become functionally indistinguishable from intelligence (whether it woul ...
... of logical AI is that if we are eventually able to encode enough of human common sense knowledge in logical form, and we develop sufficiently sophisticated inference mechanisms, then this mechanical manipulation of symbols will become functionally indistinguishable from intelligence (whether it woul ...
PPT
... • ie: [I should wear a coat]? – note: this would read easier in English as “should I wear a coat”, but we want to use the same propositional symbol as is in our knowledge base ...
... • ie: [I should wear a coat]? – note: this would read easier in English as “should I wear a coat”, but we want to use the same propositional symbol as is in our knowledge base ...
PPT
... • ie: [I should wear a coat]? – note: this would read easier in English as “should I wear a coat”, but we want to use the same propositional symbol as is in our knowledge base ...
... • ie: [I should wear a coat]? – note: this would read easier in English as “should I wear a coat”, but we want to use the same propositional symbol as is in our knowledge base ...
10. Fuzzy Reasoning - Computing Science
... 12. Fuzzy Control Systems Mamdani inference derives a single crisp output value by applying fuzzy rules to a set of crisp input values. Step 1: Fuzzify the inputs. Step 2: Apply the inputs to the antecedents of the fuzzy rules to obtain a set of fuzzy outputs. Step 3: Convert the fuzzy outputs to a ...
... 12. Fuzzy Control Systems Mamdani inference derives a single crisp output value by applying fuzzy rules to a set of crisp input values. Step 1: Fuzzify the inputs. Step 2: Apply the inputs to the antecedents of the fuzzy rules to obtain a set of fuzzy outputs. Step 3: Convert the fuzzy outputs to a ...
An Opinionated History of AAAI - Association for the Advancement of
... on topics of direct interest, unlike the very broad AAAI conference; and third, the subfields saw themselves as international and didn’t want to be organizational subparts of an American professional society. There have been a number of ideas about how to keep relationships with these areas, the mos ...
... on topics of direct interest, unlike the very broad AAAI conference; and third, the subfields saw themselves as international and didn’t want to be organizational subparts of an American professional society. There have been a number of ideas about how to keep relationships with these areas, the mos ...
Searching for Arthur Koestler`s Holons – a systemstheoretical
... depending on the level in the hierarchy they have to fulfill specific functions. Examples of typical applications of multi-layer hierarchies are given by organization charts of a company which determines the responsibility in decision making, supervision, and workload distribution. While for multi-s ...
... depending on the level in the hierarchy they have to fulfill specific functions. Examples of typical applications of multi-layer hierarchies are given by organization charts of a company which determines the responsibility in decision making, supervision, and workload distribution. While for multi-s ...
Recognition Tasks
... A knowledge base: set of facts about subject matter An inference engine: mechanism for selecting relevant facts and for reasoning from them in a logical way Many ...
... A knowledge base: set of facts about subject matter An inference engine: mechanism for selecting relevant facts and for reasoning from them in a logical way Many ...
CS2053
... Unit Syllabus: Introduction to Neuro – Fuzzy and Soft Computing – Fuzzy Sets – Basic Definition and Terminology – Set-theoretic Operations – Member Function Formulation and Parameterization – Fuzzy Rules and Fuzzy Reasoning – Extension Principle and Fuzzy Relations – Fuzzy If-Then Rules – Fuzzy Reas ...
... Unit Syllabus: Introduction to Neuro – Fuzzy and Soft Computing – Fuzzy Sets – Basic Definition and Terminology – Set-theoretic Operations – Member Function Formulation and Parameterization – Fuzzy Rules and Fuzzy Reasoning – Extension Principle and Fuzzy Relations – Fuzzy If-Then Rules – Fuzzy Reas ...
ch.34 - 서울대 Biointelligence lab
... Face-recognizing systems are becoming more common at airports, banks, and places where personal identity must be verified or established 2007 NIST face-recognition tests At low false alarm rates for humans, 7 algorithms were comparable to or better than humans The best methods use machine learni ...
... Face-recognizing systems are becoming more common at airports, banks, and places where personal identity must be verified or established 2007 NIST face-recognition tests At low false alarm rates for humans, 7 algorithms were comparable to or better than humans The best methods use machine learni ...
Reciprocal tutoring using cognitive tools
... network in a learning session, the system groups them as a tutor-tutee pair. The tutee is asked to write a few LISP programs and can communicate with the tutor. After each program is finished, the tutee and tutor switch their roles and the new tutee works on the next program. This process repeats un ...
... network in a learning session, the system groups them as a tutor-tutee pair. The tutee is asked to write a few LISP programs and can communicate with the tutor. After each program is finished, the tutee and tutor switch their roles and the new tutee works on the next program. This process repeats un ...
datalog - FORTH-ICS
... to the field of databases. What makes logic programming attractive is its declarative nature, as opposed to the more operational flavor of other programming paradigms, be they imperative, object-oriented, or functional. This led in the late 70’s and in the 80’s to much LP-related activity in Artific ...
... to the field of databases. What makes logic programming attractive is its declarative nature, as opposed to the more operational flavor of other programming paradigms, be they imperative, object-oriented, or functional. This led in the late 70’s and in the 80’s to much LP-related activity in Artific ...
The Fourth International Workshop on Nonmonotonic Reasoning
... applications of nonmonotonic reasoning to planning and mathematical reasoning; analyses of where the computational difficulties lie within existing theories; techniques for approximate, tractable, nonmonotonic reasoning; applications of algorithms from constraint satisfaction, logic programming, and ...
... applications of nonmonotonic reasoning to planning and mathematical reasoning; analyses of where the computational difficulties lie within existing theories; techniques for approximate, tractable, nonmonotonic reasoning; applications of algorithms from constraint satisfaction, logic programming, and ...
Document
... A knowledge base: set of facts about subject matter An inference engine: mechanism for selecting relevant facts and for reasoning from them in a logical way Many ...
... A knowledge base: set of facts about subject matter An inference engine: mechanism for selecting relevant facts and for reasoning from them in a logical way Many ...
Deductive Reasoning
... conclusion of a complicated proof directly from its premises would not yield a justified belief. To have a justified belief, one must be aware of the proof. These examples suggest that reliabilism has difficulty capturing the intuitive connection between having a justified belief and being a respons ...
... conclusion of a complicated proof directly from its premises would not yield a justified belief. To have a justified belief, one must be aware of the proof. These examples suggest that reliabilism has difficulty capturing the intuitive connection between having a justified belief and being a respons ...
BCA-601
... This book, Artificial Intelligence is divided into seven units. The first unit covers the basics of AI whereas the second unit covers general problem solving, heuristics, control strategies, problem decomposition and design of search programs. The third unit discusses knowledge presentation issues i ...
... This book, Artificial Intelligence is divided into seven units. The first unit covers the basics of AI whereas the second unit covers general problem solving, heuristics, control strategies, problem decomposition and design of search programs. The third unit discusses knowledge presentation issues i ...
Description Logics
... Nardi point out that the general goal of knowledge representation (KR) is to “develop formalisms for providing high-level descriptions of the world that can be effectively used to build intelligent applications” [32]. This sentence states in a compact way some of the key requirements that a KR forma ...
... Nardi point out that the general goal of knowledge representation (KR) is to “develop formalisms for providing high-level descriptions of the world that can be effectively used to build intelligent applications” [32]. This sentence states in a compact way some of the key requirements that a KR forma ...
a knowledge based structure for implementing value management
... Value Management (VM) is an organised effort directed at analyzing the functions of systems, supplies, equipments and facilities, for the purpose of achieving the required functions at lowest overall cost, consistent with requirements for performance, including reliability, delivery, maintainability ...
... Value Management (VM) is an organised effort directed at analyzing the functions of systems, supplies, equipments and facilities, for the purpose of achieving the required functions at lowest overall cost, consistent with requirements for performance, including reliability, delivery, maintainability ...
The knowledge level - Research Showcase @ CMU
... Early work in theorem proving programs for quantified fogies culminated in 1965 with Alan Robinson's development of a machine-oriented formulation of first-order logic called Resolution (Robinson, 1965). There followed an immensely productive period of exploration of resolution-based theorem-proving ...
... Early work in theorem proving programs for quantified fogies culminated in 1965 with Alan Robinson's development of a machine-oriented formulation of first-order logic called Resolution (Robinson, 1965). There followed an immensely productive period of exploration of resolution-based theorem-proving ...
The Knowledge Level
... A reaction set in, whose slogan was "uniform procedures will not work". This reaction itself had an immensely positive outcome in driving forward the development of the second generation of AI languages: Planner, Microplanner, QA4, Conniver, POP2, etc. [6]. These unified some of the basic mechanisms ...
... A reaction set in, whose slogan was "uniform procedures will not work". This reaction itself had an immensely positive outcome in driving forward the development of the second generation of AI languages: Planner, Microplanner, QA4, Conniver, POP2, etc. [6]. These unified some of the basic mechanisms ...
The knowledge level - Research Showcase @ CMU
... followed an immensely productive period of exploration of resolution-based theorem-proving. This was fueled, not only by technical advances, which occurred rapidly and on a broad front (Loveland, 1978), but also by the view that we had a general purpose reasoning engine in hand and that doing logic ...
... followed an immensely productive period of exploration of resolution-based theorem-proving. This was fueled, not only by technical advances, which occurred rapidly and on a broad front (Loveland, 1978), but also by the view that we had a general purpose reasoning engine in hand and that doing logic ...
Expert system
In artificial intelligence, an expert system is a computer system that emulates the decision-making ability of a human expert.Expert systems are designed to solve complex problems by reasoning about knowledge, represented primarily as if–then rules rather than through conventional procedural code. The first expert systems were created in the 1970s and then proliferated in the 1980s. Expert systems were among the first truly successful forms of AI software.An expert system is divided into two sub-systems: the inference engine and the knowledge base. The knowledge base represents facts and rules. The inference engine applies the rules to the known facts to deduce new facts. Inference engines can also include explanation and debugging capabilities.