
Chapter 1
... must know an algorithm that tells the computer what to do. That is how to get the output from a given input. (Examples: C++, C#, Pascal, Algol, … etc.) Declarative languages: Declare the logic by which the program solves a problem (the logic of problem solving is declared in the program). The progra ...
... must know an algorithm that tells the computer what to do. That is how to get the output from a given input. (Examples: C++, C#, Pascal, Algol, … etc.) Declarative languages: Declare the logic by which the program solves a problem (the logic of problem solving is declared in the program). The progra ...
Intelligent System for Information Security Management: Architecture
... be integrated with traditional procedural and statistical methods to analyze the collected data by sensors, recognize reconnaissance patterns, filter and correlate events to support security event management and prevention of intrusions. These techniques improve the ability of security management sy ...
... be integrated with traditional procedural and statistical methods to analyze the collected data by sensors, recognize reconnaissance patterns, filter and correlate events to support security event management and prevention of intrusions. These techniques improve the ability of security management sy ...
decision support
... Modified from Decision Support Systems and Business Intelligence Systems 9E. ...
... Modified from Decision Support Systems and Business Intelligence Systems 9E. ...
1pp
... • The first, which you, as computer scientists, should be familiar with, is computational complexity. We can solve useful problems in polynomial time, but most interesting AI problems — certainly the ones we looked at — are NP-hard. We will be constantly straddling the boundary between polynomial ti ...
... • The first, which you, as computer scientists, should be familiar with, is computational complexity. We can solve useful problems in polynomial time, but most interesting AI problems — certainly the ones we looked at — are NP-hard. We will be constantly straddling the boundary between polynomial ti ...
Intelligent Agent in Education
... Teaching and Learning Environment on the Web, University of Girona, Spain. 2002. Russell, S.J. and P. Norvig. "Artificial intelligence: a modern approach." Prentice Hall series in artificial intelligence. Prentice Hall, N.J. 1995 Slater, D. (2000). Interactive Animated Pedagogical Agents: An introdu ...
... Teaching and Learning Environment on the Web, University of Girona, Spain. 2002. Russell, S.J. and P. Norvig. "Artificial intelligence: a modern approach." Prentice Hall series in artificial intelligence. Prentice Hall, N.J. 1995 Slater, D. (2000). Interactive Animated Pedagogical Agents: An introdu ...
Competence and Performance-Improving approach for maintaining
... (CBM) becomes required. Recently, the CBM issue has drawn more and more attention to two major gauges that supply to the evaluation of a CB. The first one is the CB's performance [4, 9] which is the answer time that is needed to calculate a solution for case targets. The second one is the CB's compe ...
... (CBM) becomes required. Recently, the CBM issue has drawn more and more attention to two major gauges that supply to the evaluation of a CB. The first one is the CB's performance [4, 9] which is the answer time that is needed to calculate a solution for case targets. The second one is the CB's compe ...
Chapter 12: Artificial Intelligence and Expert Systems Turban
... Is a computer program that attempts to imitate expert’s reasoning processes and knowledge in solving specific problems Most Popular Applied AI Technology ...
... Is a computer program that attempts to imitate expert’s reasoning processes and knowledge in solving specific problems Most Popular Applied AI Technology ...
DSS Chapter 1
... Is a computer program that attempts to imitate expert’s reasoning processes and knowledge in solving specific problems Most Popular Applied AI Technology ...
... Is a computer program that attempts to imitate expert’s reasoning processes and knowledge in solving specific problems Most Popular Applied AI Technology ...
An Abstract View on Modularity in Knowledge Representation
... base design, and (ii) reasoning where they exploit modular structure to improve the performance of solvers. To identify and study general principles of modularity in knowledge representation, researchers proposed several general frameworks such as: • Abstract multi-context systems (Brewka and Eiter ...
... base design, and (ii) reasoning where they exploit modular structure to improve the performance of solvers. To identify and study general principles of modularity in knowledge representation, researchers proposed several general frameworks such as: • Abstract multi-context systems (Brewka and Eiter ...
PDF
... In this talk, we introduce our robot learning framework which follows a similar timeline with human infant development. In the initial stages of the development, the robot organizes its action parameter space to form behavior primitives, and explore the environment with these primitives to learn bas ...
... In this talk, we introduce our robot learning framework which follows a similar timeline with human infant development. In the initial stages of the development, the robot organizes its action parameter space to form behavior primitives, and explore the environment with these primitives to learn bas ...
Chapter 1: Introduction to Expert Systems
... • During the 20th Century various definitions of AI were proposed. • In the 1960s, a special type of AI called expert systems dealt with complex problems in a narrow domain, e.g., medical disease diagnosis. • Today, expert systems are used in a variety of fields. • Expert systems solve problems for ...
... • During the 20th Century various definitions of AI were proposed. • In the 1960s, a special type of AI called expert systems dealt with complex problems in a narrow domain, e.g., medical disease diagnosis. • Today, expert systems are used in a variety of fields. • Expert systems solve problems for ...
Integrating AI Techniques in Requirements Phase: A Literature Review
... different activities of the requirements phase of SDLC, but at the same time, there are certainly new research questions and issues too. One of the prominent issues is the maximum human intervention in the requirements phase due to being a conceptual phase of SDLC. Research studies reveal that Artif ...
... different activities of the requirements phase of SDLC, but at the same time, there are certainly new research questions and issues too. One of the prominent issues is the maximum human intervention in the requirements phase due to being a conceptual phase of SDLC. Research studies reveal that Artif ...
Chapter 1: Introduction to Expert Systems
... • During the 20th Century various definitions of AI were proposed. • In the 1960s, a special type of AI called expert systems dealt with complex problems in a narrow domain, e.g., medical disease diagnosis. • Today, expert systems are used in a variety of fields. • Expert systems solve problems for ...
... • During the 20th Century various definitions of AI were proposed. • In the 1960s, a special type of AI called expert systems dealt with complex problems in a narrow domain, e.g., medical disease diagnosis. • Today, expert systems are used in a variety of fields. • Expert systems solve problems for ...
Developing Backward Chaining Algorithm of Inference Engine in
... Some task that can be performed by expert system are difficult tasks to be specified, the task that may have incomplete or uncertain data, there may not always be an optimum solution, the task cannot be solved in a step-by-step manner, and solutions are often obtained by using accumulated experience ...
... Some task that can be performed by expert system are difficult tasks to be specified, the task that may have incomplete or uncertain data, there may not always be an optimum solution, the task cannot be solved in a step-by-step manner, and solutions are often obtained by using accumulated experience ...
Strongly equivalent temporal logic programs
... or diagnostics. Default negation plays here a crucial role, as it allows representing the rule of inertia (that can be stated as “a fluent remains unchanged by default”) and avoid in this way the frame problem [11]. ASP can also be naturally used for solving other typical representational problems ...
... or diagnostics. Default negation plays here a crucial role, as it allows representing the rule of inertia (that can be stated as “a fluent remains unchanged by default”) and avoid in this way the frame problem [11]. ASP can also be naturally used for solving other typical representational problems ...
A Planning Graph Heuristic for Forward-Chaining
... is not static. The exogenous dynamics can be caused by “nature” or by one or more other agents sharing the same environment. Other agents can behave neutrally (simply following their own independent agenda or otherwise acting unpredictably), adversarially, or cooperatively with respect to the protag ...
... is not static. The exogenous dynamics can be caused by “nature” or by one or more other agents sharing the same environment. Other agents can behave neutrally (simply following their own independent agenda or otherwise acting unpredictably), adversarially, or cooperatively with respect to the protag ...
Job Shop Scheduling
... • John gave up. • John’s legs gave out beneath him. • It is 300 miles, give or take 10. ...
... • John gave up. • John’s legs gave out beneath him. • It is 300 miles, give or take 10. ...
The CHREST Architecture of Cognition The Role of
... Eye Movements and the Perception-Learning Cycle The frame problem is a central issue in cognitive science and artificial intelligence: How can a system notice the relevant changes in the environment in real time whilst ignoring the indefinite number of changes that are irrelevant? CHREST’s solution ...
... Eye Movements and the Perception-Learning Cycle The frame problem is a central issue in cognitive science and artificial intelligence: How can a system notice the relevant changes in the environment in real time whilst ignoring the indefinite number of changes that are irrelevant? CHREST’s solution ...