The Even More Irresistible SROIQ
... DL considered here since they are required in various applications (19) and do not pose problems (13). That is, we extend SHOIQ—which is SHOIN with qualified number restrictions—and extend the work begun in (7). Since OWL-DL is becoming more widely used, it turns out that it lacks a number of expres ...
... DL considered here since they are required in various applications (19) and do not pose problems (13). That is, we extend SHOIQ—which is SHOIN with qualified number restrictions—and extend the work begun in (7). Since OWL-DL is becoming more widely used, it turns out that it lacks a number of expres ...
Document
... A problem is hard, if we are sure that there is not any polynomial-time algorithm to solve the problem (to get the optimal solution)..? ...
... A problem is hard, if we are sure that there is not any polynomial-time algorithm to solve the problem (to get the optimal solution)..? ...
An Efficient Hardware Implementation for AI applications
... Fig. 3. Comparison of our approach (b) against the software approach (a) ...
... Fig. 3. Comparison of our approach (b) against the software approach (a) ...
Dr. Eick`s Introduction to AI
... Questions/Thoughts about AI • What are the limitations of AI? Can computers only do what they are told? Can computers be creative? Can computers think? What problems cannot be solved by computers today? • Computers show promise to control the current waste of energy and other natural resources. • C ...
... Questions/Thoughts about AI • What are the limitations of AI? Can computers only do what they are told? Can computers be creative? Can computers think? What problems cannot be solved by computers today? • Computers show promise to control the current waste of energy and other natural resources. • C ...
Executing Higher Order Logic
... where uij and ti are executable terms and qi is either p or some other executable inductive relation. In addition, also arbitrary executable terms not of the form (. . .) ∈ pi , so-called side conditions, which may not contain p, are allowed as premises of introduction rules. • Executable recursive ...
... where uij and ti are executable terms and qi is either p or some other executable inductive relation. In addition, also arbitrary executable terms not of the form (. . .) ∈ pi , so-called side conditions, which may not contain p, are allowed as premises of introduction rules. • Executable recursive ...
Logic and Complexity in Cognitive Science
... and told that all cards have a number on one side and a letter on the other. The faces visible to the subject read D, K , 3, and 7. The subject is then told “Every card which has a D on one side has a 3 on the other” and asked which cards they need to turn over to verify this rule. From a classical ...
... and told that all cards have a number on one side and a letter on the other. The faces visible to the subject read D, K , 3, and 7. The subject is then told “Every card which has a D on one side has a 3 on the other” and asked which cards they need to turn over to verify this rule. From a classical ...
Fuzzy Logic and its Applications in Medicine
... systems in medicine for tasks such as the interpretation of sets of medical findings, syndrome differentiation in eastern medicine, diagnosis of diseases in Western medicine, mixed diagnosis of integrated western and eastern medicine, the optimal selection of medical treatments integrating western a ...
... systems in medicine for tasks such as the interpretation of sets of medical findings, syndrome differentiation in eastern medicine, diagnosis of diseases in Western medicine, mixed diagnosis of integrated western and eastern medicine, the optimal selection of medical treatments integrating western a ...
Resolve and Expand
... Expansion often needs to copy almost all clauses of the CNF. Moreover, the elimination procedures of Sec. 3 produce a lot of redundant subsumed clauses. Therefore, subsumed clauses should be removed. If a new clause is added, all old clauses are checked for being subsumed by this new clause. This ch ...
... Expansion often needs to copy almost all clauses of the CNF. Moreover, the elimination procedures of Sec. 3 produce a lot of redundant subsumed clauses. Therefore, subsumed clauses should be removed. If a new clause is added, all old clauses are checked for being subsumed by this new clause. This ch ...
Agent-Based Software Engineering
... Over its 40-year history, Artificial Intelligence (AI) has been subject to many and varied criticisms. Perhaps the most persistent and troubling of these is that AI has simply failed to deliver on its promises. Clearly, the more extreme predictions of some AI researchers (such as human-quality intel ...
... Over its 40-year history, Artificial Intelligence (AI) has been subject to many and varied criticisms. Perhaps the most persistent and troubling of these is that AI has simply failed to deliver on its promises. Clearly, the more extreme predictions of some AI researchers (such as human-quality intel ...
Summer Institute for Computing Education
... • You can assign a name to represent a value (we call this a variable) • You can assign a name to represent a function or procedure (method) • You can assign a name to a collection of related variables and functions/procedures (class) Intro CS, Computers, Programming ...
... • You can assign a name to represent a value (we call this a variable) • You can assign a name to represent a function or procedure (method) • You can assign a name to a collection of related variables and functions/procedures (class) Intro CS, Computers, Programming ...
Knowledge Representation and Classical Logic
... languages were not sufficiently expressive. On the other hand, most logicians were not concerned about the possibility of automated reasoning; from the perspective of knowledge representation, they were often too generous in the choice of syntactic constructs. In spite of these differences, classica ...
... languages were not sufficiently expressive. On the other hand, most logicians were not concerned about the possibility of automated reasoning; from the perspective of knowledge representation, they were often too generous in the choice of syntactic constructs. In spite of these differences, classica ...
Knowledge Representation and Classical Logic
... languages were not sufficiently expressive. On the other hand, most logicians were not concerned about the possibility of automated reasoning; from the perspective of knowledge representation, they were often too generous in the choice of syntactic constructs. In spite of these differences, classica ...
... languages were not sufficiently expressive. On the other hand, most logicians were not concerned about the possibility of automated reasoning; from the perspective of knowledge representation, they were often too generous in the choice of syntactic constructs. In spite of these differences, classica ...
ARTIFICIAL INTELLIGENCE
... rule is selected, because its Then clause matches the new goal that was just added to the list (whether Fritz is a frog) The If clause (Fritz croaks and eats flies) is known to be true and therefore the goal that Fritz is a frog can be concluded (Fritz croaks and eats flies, so must be green; Fritz ...
... rule is selected, because its Then clause matches the new goal that was just added to the list (whether Fritz is a frog) The If clause (Fritz croaks and eats flies) is known to be true and therefore the goal that Fritz is a frog can be concluded (Fritz croaks and eats flies, so must be green; Fritz ...
Programming Paradigms - Universitatea Tehnica din Cluj
... experience will make you a better programmer for the rest of your days, even if you never actually use Lisp itself a lot.” (Eric Raymond, How to became a hacker). ”I have heard more than one LISP advocate state such subjective comments as, ”LISP is the most powerful and elegant programming language ...
... experience will make you a better programmer for the rest of your days, even if you never actually use Lisp itself a lot.” (Eric Raymond, How to became a hacker). ”I have heard more than one LISP advocate state such subjective comments as, ”LISP is the most powerful and elegant programming language ...
Neural Network and Fuzzy Logic
... many of technologies, some of them are neural network, Fuzzy logic, Cellular automata and probabilistic are prodomently known as ‘soft computing’. Neural network is simplified model of the Biological nervous system and therefore have drawn their motivation from the kind of computing performed by hum ...
... many of technologies, some of them are neural network, Fuzzy logic, Cellular automata and probabilistic are prodomently known as ‘soft computing’. Neural network is simplified model of the Biological nervous system and therefore have drawn their motivation from the kind of computing performed by hum ...
Negation Without Negation in Probabilistic Logic Programming
... expressiveness. Negations may, however, cause difficult-toavoid logical inconsistencies in cyclic programs. We suggest using negative noise probabilities in lieu of negations. For acyclic programs, we completely characterized the conditions for avoiding probabilistic improperness, and showed how any ...
... expressiveness. Negations may, however, cause difficult-toavoid logical inconsistencies in cyclic programs. We suggest using negative noise probabilities in lieu of negations. For acyclic programs, we completely characterized the conditions for avoiding probabilistic improperness, and showed how any ...
Slides1
... Algorithms & Computer programs An algorithm is a set of well-defined instructions for accomplishing a task (e.g., S’mores algorithm for making s'mores) When we write computer program, we are generally implementing a method (an algorithm) devised previously to solve some problem. A computer pr ...
... Algorithms & Computer programs An algorithm is a set of well-defined instructions for accomplishing a task (e.g., S’mores algorithm for making s'mores) When we write computer program, we are generally implementing a method (an algorithm) devised previously to solve some problem. A computer pr ...
Methods of Artificial Intelligence – Fuzzy Logic
... The change point for fuzzy sets generalizes the evaluation set from the pair of numbers {0, 1} to all values found in the interval {0, 1}. The starting point for fuzzy stets is generalization of evaluation set from the pair of numbers {0,1}. Through expanding of evaluation set we change the nature o ...
... The change point for fuzzy sets generalizes the evaluation set from the pair of numbers {0, 1} to all values found in the interval {0, 1}. The starting point for fuzzy stets is generalization of evaluation set from the pair of numbers {0,1}. Through expanding of evaluation set we change the nature o ...
Functional Programming Languages and Dataflow Principles
... languages have led to reconsideration of earlier attempts to exploit parallelism This lecture talks about two radical attempts which are related to one another The TERAFLUX project (Ian Watson, Mikel Lujan in this School + Siena + Cyprus + Barcelona + …) is trying to add Transactional Memory to ...
... languages have led to reconsideration of earlier attempts to exploit parallelism This lecture talks about two radical attempts which are related to one another The TERAFLUX project (Ian Watson, Mikel Lujan in this School + Siena + Cyprus + Barcelona + …) is trying to add Transactional Memory to ...
CIS_103_Programming_Concepts_Overview
... There are 3 control structures that are used in all programming languages: 1. Sequence 2. Selection 3. Repetition (aka Iteration) Programming Concepts Overview ...
... There are 3 control structures that are used in all programming languages: 1. Sequence 2. Selection 3. Repetition (aka Iteration) Programming Concepts Overview ...
Curriculum Vitae - People.csail.mit.edu
... Postdoctoral Associate, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology (MIT), Cambridge, USA Feb. - Nov. 2007 With advisor Leslie Pack Kaelbling, developing a modern cognitive architecture. The driving application in mind is to develop software-based s ...
... Postdoctoral Associate, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology (MIT), Cambridge, USA Feb. - Nov. 2007 With advisor Leslie Pack Kaelbling, developing a modern cognitive architecture. The driving application in mind is to develop software-based s ...
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 ...
... 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 ...