Artificial Intelligence Question Bank 2014
... With the help of a diagram, explain the structure of RBS. What is conflict resolution? Explain the various strategies used for selecting a rule. Explain the working mechanism of forward chaining/backward chaining. Backward chaining is a depth first search strategy-Justify State merits and demerits o ...
... With the help of a diagram, explain the structure of RBS. What is conflict resolution? Explain the various strategies used for selecting a rule. Explain the working mechanism of forward chaining/backward chaining. Backward chaining is a depth first search strategy-Justify State merits and demerits o ...
LNCS 3242 - A Hybrid GRASP – Evolutionary Algorithm Approach to
... Ruler problem. In their representation, each chromosome is composed by a permutation of n − 1 integers that represents the sequence of the n − 1 lengths of its segments. In order to assure the uniqueness of each segment length in all the individuals of the population, certain precautions were taken: ...
... Ruler problem. In their representation, each chromosome is composed by a permutation of n − 1 integers that represents the sequence of the n − 1 lengths of its segments. In order to assure the uniqueness of each segment length in all the individuals of the population, certain precautions were taken: ...
artificial intelligence - ABIT Group of Institutions
... weak AI The principle behind Weak AI is simply the fact that machines can be made to act as if they are intelligent. For example, when a human player plays chess against a computer, the human player may feel as if the computer is actually making impressive moves. But the chess application is not thi ...
... weak AI The principle behind Weak AI is simply the fact that machines can be made to act as if they are intelligent. For example, when a human player plays chess against a computer, the human player may feel as if the computer is actually making impressive moves. But the chess application is not thi ...
tablefinal
... optimization is very important and concerning act of obtaining the best result under given situations. This is the reason behind why optimization has been a popular research topic for decades. Optimization originated in the 1940s, when the British military faced the problem of allocating limited res ...
... optimization is very important and concerning act of obtaining the best result under given situations. This is the reason behind why optimization has been a popular research topic for decades. Optimization originated in the 1940s, when the British military faced the problem of allocating limited res ...
Linear Equations: Slope and Equations of Lines - UH
... that A, B, and C are integers whenever possible. In this course, you will be given problems where it is always possible to change the equation so that A, B, and C are integers. There are cases where it is not possible to change the coefficients to integers, such as the equation ...
... that A, B, and C are integers whenever possible. In this course, you will be given problems where it is always possible to change the equation so that A, B, and C are integers. There are cases where it is not possible to change the coefficients to integers, such as the equation ...
Final Course Review
... about something which we can call a concept. This can be a situation, an object, a phenomenon, a relation. 2. Frames contain smaller pieces of knowledge: components, attributes, actions which can be (or must be) taken when conditions for taking an action occur. 3. Frames contain slots which are plac ...
... about something which we can call a concept. This can be a situation, an object, a phenomenon, a relation. 2. Frames contain smaller pieces of knowledge: components, attributes, actions which can be (or must be) taken when conditions for taking an action occur. 3. Frames contain slots which are plac ...
Original Article A shifted hyperbolic augmented Lagrangian
... Metaheuristics are approximate methods or heuristics that are designed to search for good solutions, known as near-optimal solutions, with less computational effort and time than the more classical algorithms. While heuristics are tailored to solve a specific problem, metaheuristics are general-purp ...
... Metaheuristics are approximate methods or heuristics that are designed to search for good solutions, known as near-optimal solutions, with less computational effort and time than the more classical algorithms. While heuristics are tailored to solve a specific problem, metaheuristics are general-purp ...
Combining Linear Programming and Satisfiability Solving for
... are boolean-valued; typeface are real. must be solved to solve the entire LCNF problem1 . The key to the encoding is the simple but expressive concept of triggers — each propositional variable may trigger a constraint; this constraint is then enforced whenever the variable’s truth assignment is true ...
... are boolean-valued; typeface are real. must be solved to solve the entire LCNF problem1 . The key to the encoding is the simple but expressive concept of triggers — each propositional variable may trigger a constraint; this constraint is then enforced whenever the variable’s truth assignment is true ...
Lecture Notes on the Lambda Calculus
... information than classical ones, and in particular, they allow one to compute solutions to problems (as opposed to merely knowing the existence of a solution). The resulting algorithms can be useful in computational mathematics, for instance in ...
... information than classical ones, and in particular, they allow one to compute solutions to problems (as opposed to merely knowing the existence of a solution). The resulting algorithms can be useful in computational mathematics, for instance in ...
PDF
... M if for all -.T0X2Y7Z9/CD-E [F@A@";>=@?\AH , M returns a satisfying assignment or concludes unsatisfiability of CJIK-.#L . ...
... M if for all -.T0X2Y7Z9/CD-E [F@A@";>=@?\AH , M returns a satisfying assignment or concludes unsatisfiability of CJIK-.#L . ...
Heuristics for Planning with SAT
... they are usually evaluated on. In contrast, our heuristic relies on a very natural and simple principle that represents common intuitions about planning. We view the new heuristic as a step toward developing better SAT-based techniques for planning and other related problems such as model-checking a ...
... they are usually evaluated on. In contrast, our heuristic relies on a very natural and simple principle that represents common intuitions about planning. We view the new heuristic as a step toward developing better SAT-based techniques for planning and other related problems such as model-checking a ...
6.034 Artificial Intelligence by T. Lozano
... which we will discuss later. Note that because we are not dealing with consistency constraints (all negative literals) we will not be able to deal with negative facts either. ...
... which we will discuss later. Note that because we are not dealing with consistency constraints (all negative literals) we will not be able to deal with negative facts either. ...
Using Anytime Algorithms in Intelligent Systems
... point of time. These data form the quality map of the algorithm. Figure 2 shows the quality map of the randomized tour-improvement algorithm. It summarizes the results of many activations of the algorithm with randomly generated input instances (including 50 cities). Each point (t, q) represents an ...
... point of time. These data form the quality map of the algorithm. Figure 2 shows the quality map of the randomized tour-improvement algorithm. It summarizes the results of many activations of the algorithm with randomly generated input instances (including 50 cities). Each point (t, q) represents an ...
Algorithm Selection for Combinatorial Search Problems: A Survey
... clearly superior to previous approaches. In the majority of cases however, a new approach will improve over the current state of the art for only some problem instances. This may be because it employs a heuristic that fails for instances of a certain type or because it makes other assumptions about ...
... clearly superior to previous approaches. In the majority of cases however, a new approach will improve over the current state of the art for only some problem instances. This may be because it employs a heuristic that fails for instances of a certain type or because it makes other assumptions about ...