Course Overview
... Prentice Hall, 2012. – The C++ Programming Language, 3rd edition, by Bjarne Stroustrup, Addison-Wesley, 1997. ...
... Prentice Hall, 2012. – The C++ Programming Language, 3rd edition, by Bjarne Stroustrup, Addison-Wesley, 1997. ...
CP052 E-Commerce Technology
... The AI Problems, The Underlying assumption, What is an AI Technique?, The Level of the model, Criteria for success, some general references, One final word and beyond. ...
... The AI Problems, The Underlying assumption, What is an AI Technique?, The Level of the model, Criteria for success, some general references, One final word and beyond. ...
Agents with no central representation
... 3. They should make the important objects and relations explicit and accessible – so that it is easy to see what is going on, and how the various components interact 4. They should suppress irrelevant detail – so that rarely used details don't introduce unnecessary complications, but are still avail ...
... 3. They should make the important objects and relations explicit and accessible – so that it is easy to see what is going on, and how the various components interact 4. They should suppress irrelevant detail – so that rarely used details don't introduce unnecessary complications, but are still avail ...
King’s College London
... (c) Give a recursive definition of the domain of interpretation of types. (d) What is the domain of the type (e → t) → (e → t)? (e) Give an example of a word which would be naturally modeled with a constant of type (e → t) → (e → t) and describe the denotation of ...
... (c) Give a recursive definition of the domain of interpretation of types. (d) What is the domain of the type (e → t) → (e → t)? (e) Give an example of a word which would be naturally modeled with a constant of type (e → t) → (e → t) and describe the denotation of ...
Temporal Equilibrium Logic: a first approach
... solve planning problems, it is first required to fix the length l of the plan to be obtained. Usually, the plan search consists in gradually incrementing this length parameter l = 0, 1, 2, 3, . . . until a plan is obtained. A first obvious drawback of this approach is that it is not possible to esta ...
... solve planning problems, it is first required to fix the length l of the plan to be obtained. Usually, the plan search consists in gradually incrementing this length parameter l = 0, 1, 2, 3, . . . until a plan is obtained. A first obvious drawback of this approach is that it is not possible to esta ...
74.419 Artificial Intelligence 2002 Description Logics
... belief modeling; defaults; set of true formulae can change (non-monotonicity); TMS ...
... belief modeling; defaults; set of true formulae can change (non-monotonicity); TMS ...
Propositional Logic - Faculty of Computing
... If S is a sentence, S is a sentence (negation) If S1 and S2 are sentences, S1 S2 is a sentence (conjunction) If S1 and S2 are sentences, S1 S2 is a sentence (disjunction) If S1 and S2 are sentences, S1 S2 is a sentence (implication) If S1 and S2 are sentences, S1 S2 is a sentence (equivale ...
... If S is a sentence, S is a sentence (negation) If S1 and S2 are sentences, S1 S2 is a sentence (conjunction) If S1 and S2 are sentences, S1 S2 is a sentence (disjunction) If S1 and S2 are sentences, S1 S2 is a sentence (implication) If S1 and S2 are sentences, S1 S2 is a sentence (equivale ...
Logic Programming for Knowledge Representation
... program P if there exists a P -computation t such that M = Rt . If a Horn constraint program has a model, one can show that it has computations and, consequently, derivable models. By our comment above, derivable models of a Horn constraint program P are supported models and so, in particular, model ...
... program P if there exists a P -computation t such that M = Rt . If a Horn constraint program has a model, one can show that it has computations and, consequently, derivable models. By our comment above, derivable models of a Horn constraint program P are supported models and so, in particular, model ...
The Fun of Programming - Department of Computer Science, Oxford
... applications, in particular pretty printing, musical composition, hardware description, and graphical design. These applications are interspersed with chapters on techniques, such as the design of efficient data structures, interpreters for other languages, program testing and optimisation. These to ...
... applications, in particular pretty printing, musical composition, hardware description, and graphical design. These applications are interspersed with chapters on techniques, such as the design of efficient data structures, interpreters for other languages, program testing and optimisation. These to ...
CISB358 - Department of Computer and Information Science
... Logical agent. Reasoning procedure. Syntax and knowledge representation using propositional logic. Inference: forwarding chaining, backward chaining, resolution. First-order Logic and Inference First-order logic. Objects and quantifiers in first-order logic. Syntax and knowledge representation using ...
... Logical agent. Reasoning procedure. Syntax and knowledge representation using propositional logic. Inference: forwarding chaining, backward chaining, resolution. First-order Logic and Inference First-order logic. Objects and quantifiers in first-order logic. Syntax and knowledge representation using ...
2.4 Key Terms
... Class of PLDs that contain an array of more complex logic cells that can be very flexibly interconnected to implement high-level logic circuits. ...
... Class of PLDs that contain an array of more complex logic cells that can be very flexibly interconnected to implement high-level logic circuits. ...
physical symbol system - School of Computer Science
... • Pop-11 is incrementally compiled, and was one of the first languages to be implemented using a virtual machine (PVM) • similar expressive power to Lisp, but with an Algol-like syntax • Pop-11 forms the basis of the Poplog programming environment which allowed the development of programs in Pop- ...
... • Pop-11 is incrementally compiled, and was one of the first languages to be implemented using a virtual machine (PVM) • similar expressive power to Lisp, but with an Algol-like syntax • Pop-11 forms the basis of the Poplog programming environment which allowed the development of programs in Pop- ...
Introduction to Programming in C++: Algorithms, Flowcharts and
... eventually the error!. You notice that the logic is nested. W ithin a loop we may have switching logic and within that switching logic we may again have a loop, and so it goes. Program algorithms are usually hierarchical in nature. The style of programming we are using is called procedural, because ...
... eventually the error!. You notice that the logic is nested. W ithin a loop we may have switching logic and within that switching logic we may again have a loop, and so it goes. Program algorithms are usually hierarchical in nature. The style of programming we are using is called procedural, because ...
Module Title
... Using a diagnostic area that you are familiar with, design an expert system using the rule format to represent rules in the problem domain you have chosen. Implement a meta-interpreter that will show how a conclusion was reached, ask questions of the user and explain why that question is being asked ...
... Using a diagnostic area that you are familiar with, design an expert system using the rule format to represent rules in the problem domain you have chosen. Implement a meta-interpreter that will show how a conclusion was reached, ask questions of the user and explain why that question is being asked ...
foundations - Computer Science Department
... Aims to discover if A or B is the Man • (A) Male: aims to fool the questioner (B) Female: aims to help the questioner • Some of Turing’s Comments • "The [imitation] game may perhaps be criticized on the ground that the odds are weighted too heavily against the machine. This objection is a very stron ...
... Aims to discover if A or B is the Man • (A) Male: aims to fool the questioner (B) Female: aims to help the questioner • Some of Turing’s Comments • "The [imitation] game may perhaps be criticized on the ground that the odds are weighted too heavily against the machine. This objection is a very stron ...
Taking Part-Time Programmers Seriously Jesse A. Tov Elizabeth Tov
... for writing bad code in difficult, error-prone languages. For physics, the train has probably left the station, but in other disciplines, programming languages researchers may have a chance to make a positive difference. We can help, first, by providing appropriate technology and demonstrating its b ...
... for writing bad code in difficult, error-prone languages. For physics, the train has probably left the station, but in other disciplines, programming languages researchers may have a chance to make a positive difference. We can help, first, by providing appropriate technology and demonstrating its b ...
Module Code SS-4302 Module Title Artificial Intelligence Degree
... This module exposes the student to basic artificial intelligence techniques, with a focus on how different problem-specific heuristics play an important role in making these techniques time and resource efficient. In addition, the student will learn to program simple software using these techniqu ...
... This module exposes the student to basic artificial intelligence techniques, with a focus on how different problem-specific heuristics play an important role in making these techniques time and resource efficient. In addition, the student will learn to program simple software using these techniqu ...
PPT - Ubiquitous Computing Lab
... • The human can to cut off part of stick making it of determined size. In this case he deals with mathematics • The human can decide to cut off part or not. In this case he deals with logic. • Making of decision appears in brain when quantity transforms to quality, i.e. stimulation of any neuron be ...
... • The human can to cut off part of stick making it of determined size. In this case he deals with mathematics • The human can decide to cut off part or not. In this case he deals with logic. • Making of decision appears in brain when quantity transforms to quality, i.e. stimulation of any neuron be ...
Here`s the beef: Answer Set Programming
... Logic Programming under Stable Model Semantics turned out to be a special case of Default Logic, with stable models corresponding to default extensions [6, 7]. See also http://www.kr.tuwien.ac.at/research/projects/WASP/ report.html ...
... Logic Programming under Stable Model Semantics turned out to be a special case of Default Logic, with stable models corresponding to default extensions [6, 7]. See also http://www.kr.tuwien.ac.at/research/projects/WASP/ report.html ...
Course Overview
... • Prerequisites: – Basic computer skills (FIT-I basic) – Working knowledge of high-level programming languages such as C (FIT-I pro) ...
... • Prerequisites: – Basic computer skills (FIT-I basic) – Working knowledge of high-level programming languages such as C (FIT-I pro) ...
Paradigms
... • Describe the Outputs (as above) • Describe the Relationships Between I x O – As a possibly infinite table – Equations and other predicates between input and output expressions – For a given input, output may not be unique CS784 ...
... • Describe the Outputs (as above) • Describe the Relationships Between I x O – As a possibly infinite table – Equations and other predicates between input and output expressions – For a given input, output may not be unique CS784 ...
Fuzzy-probabilistic logic for common sense
... then voila, we already have a Bayesian network (BN). Such BNs can be generated onthe-fly upon each user query. This technique is known as KBMC (knowledge-based model construction) [24] and has become standard for lifting propositional probabilistic logics to first-order. Once we have the BN we can u ...
... then voila, we already have a Bayesian network (BN). Such BNs can be generated onthe-fly upon each user query. This technique is known as KBMC (knowledge-based model construction) [24] and has become standard for lifting propositional probabilistic logics to first-order. Once we have the BN we can u ...
A Logical Framework for Ontology Representation, Reasoning and
... and apply it as the intentional explicit knowledge for subsumption consistency checking. We integrate the order-sorted logic and modal logic to represent the ontologies because of the following reasons and advantages. • Since the sorted logic is a first-order predicate logic with many ordered sorts, ...
... and apply it as the intentional explicit knowledge for subsumption consistency checking. We integrate the order-sorted logic and modal logic to represent the ontologies because of the following reasons and advantages. • Since the sorted logic is a first-order predicate logic with many ordered sorts, ...