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Natural Proof Search and Proof Writing
Natural Proof Search and Proof Writing

... been the resolution-based prover Vampire [Riazanov & Voronkov 2002] since several years. It is however useful to continue to develop other systems for several reasons: • If a prover has to communicate with humans, for example as a proof assistant in a mathematical research context or as a part of a ...
A sentential view of implicit and explicit belief
A sentential view of implicit and explicit belief

... The propositional attitude approach has an elegant formalization using in the possibleworld semantics developed by Hintikka [4] and Kripke [8]. As is well known, as long as no "impossible" worlds are allowed, this semantics enforces the condition that an agent's beliefs are closed under logical cons ...
Stages of Cognitive Development in Uncertain-Logic
Stages of Cognitive Development in Uncertain-Logic

... concerned with understanding, designing and controlling the cognitive development of generally intelligent AI systems. There is of course an extensive science of human developmental psychology, and so it is a natural research program to take the chief ideas from the former and inasmuch as possible p ...
Artificial intelligence - National Open University of Nigeria
Artificial intelligence - National Open University of Nigeria

... In this guide you will find very useful information about this course, aims and objectives, what the course is about, what course materials you will be used, available services to support your learning, information on assignments and examination. It also offers you guidelines on how to plan your tim ...
programme summary - Department of Informatics
programme summary - Department of Informatics

... 5.1 Introduction to AI planning Tutors: Amanda Coles and Andrew Coles In order to function autonomously, intelligent agents need to be able to plan a course of action to reach their desired goals. This tutorial introduces the established research area of artificial intelligence (AI) planning, focusi ...
artificial intelligence and decision support in natural
artificial intelligence and decision support in natural

... behaviour to computers. This goal includes making computers easier to use, creating more effective communication between user and computer, and making them able to deal with words and ideas, incomplete or uncertain information, and more complex or ambiguous problems. In its early days as a formal di ...
Massively Parallel Artificial Intelligence
Massively Parallel Artificial Intelligence

... and ATR's dialogue database tEhara et. al., 1990]. It is clear that as KBs grow substantially large (over a million concepts) the complex (and often complete) searches used in many tra­ ditional inferencing systems will have to give way to heuristic solutions unless a high degree of parallelism can ...
Extending Logic Programs with Description Logic Expressions for
Extending Logic Programs with Description Logic Expressions for

... - q; c ⊓ ¬b](a). This dl-atom queries L if a is in the concept c but not in the concept b, given the mapping that for any x, if p(x) is true then x is in c and if q(x) is false then x is not in b. As an interface-based extension, DL-programs require predicate symbols in Π be disjoint from predicate ...
Artificial Intelligence - Computer Science Department
Artificial Intelligence - Computer Science Department

... To act rationally means to perform acts to achieve the best outcome, to obtain some goals given some beliefs The paradigm is the agent An agent perceives and act, accordingly to the environment it is situated The capacities that are needed are the same than those to pass the Turing’s test: Natural l ...
Artificial Intelligence
Artificial Intelligence

... engineers have the painful task of establishing concrete correlations between IF (condition) and THEN (action) parts of the rules. Therefore, expert systems need to have the ability to handle vague associations, for example by accepting the degree of correlations as numerical certainty factors. ...
On the Incompatibility of Negative Introspection and Knowledge as
On the Incompatibility of Negative Introspection and Knowledge as

... positive introspection seems less damaging, but it also seems less compelling. Why should we always have a reliable disposition to a (further) meta-belief corresponding to just any dispositional belief? Our introspective access to occurring beliefs has nothing to do with this capacity. A database fu ...
Empirical Methods in AI
Empirical Methods in AI

... into phase-transition behavior has identified hard instances of random problems that are now routinely used to benchmark algorithms. Problems that are obviously overconstrained— or underconstrained—tend to be much easier to solve than critically constrained problems from around the phase transition ...
Knowledge-based Systems and Interestingness Measures: Analysis
Knowledge-based Systems and Interestingness Measures: Analysis

... be useful and comprehensible. The patterns extracted should catalyse the process of diagnosis ...
Chapter 10 - College of Business « UNT
Chapter 10 - College of Business « UNT

... • ESs are part of artificial intelligence (AI) research • AI focuses on methods and technologies that emulate how humans learn and solve problems • Knowledge base: used by an ES – A collection of facts and the relationships among them – Built as a series of IF-THEN rules – Uses an inference engine ...
On the Learnability of Description Logic Programs
On the Learnability of Description Logic Programs

... The following is a formal definition of syntax and semantic of Description Logic Programms (DLP) based on the usual first-order logic definitions adapted from [Görz, 1993, chapter 2], i.e. it is restricted to function-free clauses and extended to description logic by allowing ALN -concept-terms as ...
Improving the Knowledge-Based Expert System Lifecycle
Improving the Knowledge-Based Expert System Lifecycle

... searchable databases containing historical records of problem domain expert’s work. Modern experts no longer predominantly use pencil and paper to solve problems. Instead, they use some form of software application created to help them work through the problem and create a solution. The process is s ...
Intelligent Multimedia-A New Computing
Intelligent Multimedia-A New Computing

... We want to solve real world problems in AI. Obviously for automating problem solving, we need to represent the real world. Since we cannot represent all aspects of a real world problem, we need to restrict the representation to only the relevant aspects of the real world we are interested in. Let us ...
Introduction to Jess: Rule Based Systems In Java
Introduction to Jess: Rule Based Systems In Java

... • Are a branch of artificial intelligence. • Simulate human reasoning in some domain. • “Reason” by heuristic or approximate methods. • Explain and justify solutions in user-friendly terms. ...
Study Plan and Course Description for BSc
Study Plan and Course Description for BSc

... automata, Turing machines and computability, universal Turing machine, computability and complexity. ...
Modeling Curiosity for Virtual Learning Companions (Extended
Modeling Curiosity for Virtual Learning Companions (Extended

... indicates that C is not clear about how an object is affected by an action, which reflects a knowledge gap between the agent and the environment, leading to C’s curiosity. Uncertainty arises when there is difficulty in selecting a response to a stimulus. For example, a child would feel uncertain whi ...
Semantic Web Example
Semantic Web Example

... "DarkMeatFowl," and "DarkMeatFowl" is a subset of the class "Fowl," which is a subset of the class "EdibleThing," then "Goose" is an "EdibleThing." ...
AAAI Proceedings Template
AAAI Proceedings Template

... cars, object) in a scene to create a proper subject-verbobject sentence. In order to do so, the NSCA uses the temporal knowledge encoded in the RTRBM and the recognized actions to abduce beliefs on related event properties for each action. Then based on the Mahalanobis distance (Mahalanobis, 1936) b ...
Tableau techniques for ALC
Tableau techniques for ALC

... • First-order logic (FOL) before we move to the case of description logics. What we want to demonstrate is that tableau techniques have been standard proof techniques in other logics before they were used by DL researchers. Regarding DLs, there are also close connections to tableau techniques for mo ...
Document
Document

... To solve problems too large for a centralized agent To allow interconnecting and interoperation of multiple legacy systems To provide a solution to inherently distributed problems To provide solutions where expertise is distributed To offer conceptual clarity and simplicity of design ...
Cognitive Systems: Argument and Cognition
Cognitive Systems: Argument and Cognition

... reasoning is linked to argumentation, since proof systems like Natural Deduction are known to have a natural argumentative interpretation [7]. Other proposals (see, e.g., [8]) completely abandon any logical form for human reasoning, treating it as the application of specialized procedures, invoked n ...
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Knowledge representation and reasoning

Knowledge representation and reasoning (KR) is the field of artificial intelligence (AI) dedicated to representing information about the world in a form that a computer system can utilize to solve complex tasks such as diagnosing a medical condition or having a dialog in a natural language. Knowledge representation incorporates findings from psychology about how humans solve problems and represent knowledge in order to design formalisms that will make complex systems easier to design and build. Knowledge representation and reasoning also incorporates findings from logic to automate various kinds of reasoning, such as the application of rules or the relations of sets and subsets.Examples of knowledge representation formalisms include semantic nets, systems architecture, Frames, Rules, and ontologies. Examples of automated reasoning engines include inference engines, theorem provers, and classifiers.
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