The Quest for Efficient Boolean Satisfiability Solvers | SpringerLink
... rather we focus on techniques with consistent demonstrated efficiency in available solvers. For the most part, we focus on techniques within the basic DPLL search framework, but also briefly describe other approaches and look at some possible future research directions. ...
... rather we focus on techniques with consistent demonstrated efficiency in available solvers. For the most part, we focus on techniques within the basic DPLL search framework, but also briefly describe other approaches and look at some possible future research directions. ...
Lecture10
... Makes the subnet structure of a network invisible outside the organization’s private network. External Internet does not need to know internal subnet structure. To reach any host, external routers only need to know the path to the “gateway” router for the entire subnetwork. Subnetting reduces the si ...
... Makes the subnet structure of a network invisible outside the organization’s private network. External Internet does not need to know internal subnet structure. To reach any host, external routers only need to know the path to the “gateway” router for the entire subnetwork. Subnetting reduces the si ...
No Slide Title
... FPGAs FPGAs must add some kind of switch to the equation to be user programmable. The size and performance of the switch essentially determines the architecture ULM (Universal Logic Module) must be as small as possible to maximize versatility and utilization ...
... FPGAs FPGAs must add some kind of switch to the equation to be user programmable. The size and performance of the switch essentially determines the architecture ULM (Universal Logic Module) must be as small as possible to maximize versatility and utilization ...
BCA-601
... The last unit is devoted to natural language processing, syntactic processing, semantic analysis, discourse and pragmatic processing and conversational postulates. The book follows the self-instructional mode wherein each Unit begins with an Introduction to the topic. The Unit Objectives are then ou ...
... The last unit is devoted to natural language processing, syntactic processing, semantic analysis, discourse and pragmatic processing and conversational postulates. The book follows the self-instructional mode wherein each Unit begins with an Introduction to the topic. The Unit Objectives are then ou ...
Intelligent Agents: Theory and Practice
... For some researchers — particularly those working in AI — the term ‘agent’ has a stronger and more specific meaning than that sketched out above. These researchers generally mean an agent to be a computer system that, in addition to having the properties identified above, is either conceptualised or ...
... For some researchers — particularly those working in AI — the term ‘agent’ has a stronger and more specific meaning than that sketched out above. These researchers generally mean an agent to be a computer system that, in addition to having the properties identified above, is either conceptualised or ...
Genetic Programming - School of Computer Science and Electronic
... • Reproduction: Copy the selected individual program into the new population. • Crossover: Create new offspring program(s) for the new population by recombining randomly chosen parts from two selected programs. • Mutation: Create one new offspring program for the new population by randomly mutating ...
... • Reproduction: Copy the selected individual program into the new population. • Crossover: Create new offspring program(s) for the new population by recombining randomly chosen parts from two selected programs. • Mutation: Create one new offspring program for the new population by randomly mutating ...
Artificial Intelligence
... This chapter introduces knowledge-based agents. The concepts that we discuss—the representation of knowledge and the reasoning processes that bring knowledge to life—are central to the entire field of artificial intelligence. Humans, it seems, know things and do reasoning. Knowledge and reasoning ar ...
... This chapter introduces knowledge-based agents. The concepts that we discuss—the representation of knowledge and the reasoning processes that bring knowledge to life—are central to the entire field of artificial intelligence. Humans, it seems, know things and do reasoning. Knowledge and reasoning ar ...
6.034 Artificial Intelligence. Copyright © 2004 by Massachusetts
... We've now spent a fair bit of time learning about the language of first-order logic and the mechanisms of automatic inference. And, we've also found that (a) it is quite difficult to write first-order logic and (b) quite expensive to do inference. Both of these conclusions are well justified. Theref ...
... We've now spent a fair bit of time learning about the language of first-order logic and the mechanisms of automatic inference. And, we've also found that (a) it is quite difficult to write first-order logic and (b) quite expensive to do inference. Both of these conclusions are well justified. Theref ...
Automatic Genre-Dependent Composition using Answer Set
... theory and genre-specific characteristics. There already exist two similar projects using ASP, one of these being Anton, capable of creating musical compositions based on the rules of counter point (Boenn et al. 2010), the other being Armin, which is based on Anton and produces musical pieces that f ...
... theory and genre-specific characteristics. There already exist two similar projects using ASP, one of these being Anton, capable of creating musical compositions based on the rules of counter point (Boenn et al. 2010), the other being Armin, which is based on Anton and produces musical pieces that f ...
Theorem-Proving by Resolution as a Basis for
... I. The language is well defined, unambiguous, and rather general, so that one may hope to describe many desired subjects, questions, or answers. 2. The proof procedure used allows all possible interaction among the axioms and is logically 'complete' that is, if a theorem is a logical consequence of ...
... I. The language is well defined, unambiguous, and rather general, so that one may hope to describe many desired subjects, questions, or answers. 2. The proof procedure used allows all possible interaction among the axioms and is logically 'complete' that is, if a theorem is a logical consequence of ...
Learning logical definitions from relations
... Concept learning, which Hunt, Marin, and Stone (1966) describe succinctly as "[the] capacity to develop classification rules from experience" has long been a principal area of machine learning research. Supervised concept learning systems are supplied with information about several entities whose cl ...
... Concept learning, which Hunt, Marin, and Stone (1966) describe succinctly as "[the] capacity to develop classification rules from experience" has long been a principal area of machine learning research. Supervised concept learning systems are supplied with information about several entities whose cl ...
Combining Events And Threads For Scalable
... programming environment. To do so, it is most convenient to implement the concurrency abstractions (both thread abstractions and event abstractions) entirely inside the application, using standard programming language idioms. We call this idea application-level implementation. Programming concurrenc ...
... programming environment. To do so, it is most convenient to implement the concurrency abstractions (both thread abstractions and event abstractions) entirely inside the application, using standard programming language idioms. We call this idea application-level implementation. Programming concurrenc ...
What are Expert Systems?
... • Basic idea – any mathematical / logical system is simply a set of rules specifying how to change one string of symbols into another string of symbols. • these rules are also known as rewrite rules • simple syntactic string manipulation • no understanding or interpretation is required\also used to ...
... • Basic idea – any mathematical / logical system is simply a set of rules specifying how to change one string of symbols into another string of symbols. • these rules are also known as rewrite rules • simple syntactic string manipulation • no understanding or interpretation is required\also used to ...
X is A - Wiki Index
... In scientific theories, representation of constraints is generally oversimplified. Oversimplification of constraints is a necessity because existing constrained definition languages have a very limited expressive power. The concept of a generalized constraint is intended to provide a basis for const ...
... In scientific theories, representation of constraints is generally oversimplified. Oversimplification of constraints is a necessity because existing constrained definition languages have a very limited expressive power. The concept of a generalized constraint is intended to provide a basis for const ...
Computing Preferred Answer Sets by Meta
... ASP meta-interpreters, on the other hand, are formulated in a truly declarative way. This is more amenable to realizing interpreters for KR languages which have a purely declarative reading, and where syntactic elements such as the order of rules, or the order of literals in the body of a rule are n ...
... ASP meta-interpreters, on the other hand, are formulated in a truly declarative way. This is more amenable to realizing interpreters for KR languages which have a purely declarative reading, and where syntactic elements such as the order of rules, or the order of literals in the body of a rule are n ...
Lecture 1: Getting Started With Python
... Quandry Modern computers are computationally powerful and capable of carrying out different tasks, but how to we get them to do what we want? Resolution Program Detailed and precise set of instructions specifying how a computational task should be completed Programmming language Notation in which a ...
... Quandry Modern computers are computationally powerful and capable of carrying out different tasks, but how to we get them to do what we want? Resolution Program Detailed and precise set of instructions specifying how a computational task should be completed Programmming language Notation in which a ...
Description Logics
... In their introduction to The Description Logic Handbook [11], Brachman and 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 se ...
... In their introduction to The Description Logic Handbook [11], Brachman and 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 se ...
Scholarly Interest Report
... Rozier, K.Y., Vardi, M.Y.: LTL Satisfiability Checking. Int’l J. on Software Tools for Technology Transfer, 12:2(2010), pp. 123–137. (special issue for 14th Workshop on Model Checking Software) Kupferman, O., Piterman, N., Vardi, M.Y.: From liveness to promptness. Formal Methods in Systems Design 34 ...
... Rozier, K.Y., Vardi, M.Y.: LTL Satisfiability Checking. Int’l J. on Software Tools for Technology Transfer, 12:2(2010), pp. 123–137. (special issue for 14th Workshop on Model Checking Software) Kupferman, O., Piterman, N., Vardi, M.Y.: From liveness to promptness. Formal Methods in Systems Design 34 ...
Slides 05
... What is the advantage of a JComboBox over a set of radio buttons? What is the disadvantage? Answer: If you have many options, a set of radio buttons takes up a large area. A combo box can show many options without using up much space. But the user cannot see the options as easily. ...
... What is the advantage of a JComboBox over a set of radio buttons? What is the disadvantage? Answer: If you have many options, a set of radio buttons takes up a large area. A combo box can show many options without using up much space. But the user cannot see the options as easily. ...
Chapter 1: Introduction to Expert Systems
... Controlled Inference Engine) uses ANS knowledge base. • Designed to classify disease from symptoms into one of the known diseases the system has been trained on. • MACIE uses forward chaining to make inferences and backward chaining to query user for additional data to reach conclusions. Expert Syst ...
... Controlled Inference Engine) uses ANS knowledge base. • Designed to classify disease from symptoms into one of the known diseases the system has been trained on. • MACIE uses forward chaining to make inferences and backward chaining to query user for additional data to reach conclusions. Expert Syst ...
Java applications
... • Machine language – The most basic circuitry-level language – A low-level programming language ...
... • Machine language – The most basic circuitry-level language – A low-level programming language ...
Systematic Verification of the Modal Logic Cube in Isabelle
... given for the equivalences of different axiomatizations and the inclusion relations shown in the cube. Our solution makes extensive use of the fact that all modal logics found in the cube are sound and complete because they arise from base modal logic K by adding Sahlqvist axioms. This is in contras ...
... given for the equivalences of different axiomatizations and the inclusion relations shown in the cube. Our solution makes extensive use of the fact that all modal logics found in the cube are sound and complete because they arise from base modal logic K by adding Sahlqvist axioms. This is in contras ...
Reasoned Use of Expertise in Argumentation
... authority to influence opinion in argumentation is commonplace, and worth guarding against. But does this suggest that all appeals to expert authority in argument are fallacious? It should not. For taking into account the intelligent and informed opinion of a legitimate expert on a question that one ...
... authority to influence opinion in argumentation is commonplace, and worth guarding against. But does this suggest that all appeals to expert authority in argument are fallacious? It should not. For taking into account the intelligent and informed opinion of a legitimate expert on a question that one ...
Applications of Preferences using Answer Set Programming
... Key words: Preferences, Answer Set Programming, Ordered Disjunction Programs, Planning. ...
... Key words: Preferences, Answer Set Programming, Ordered Disjunction Programs, Planning. ...