A survey of dynamic scheduling in manufacturing systems
... original job starting time, and the deviation from the original sequence. The experimental results showed the effectiveness of the robustness measure due to the fact that the schedule stability can be increased significantly with little or no reduction in makespan. In the same order of idea, Abumaiz ...
... original job starting time, and the deviation from the original sequence. The experimental results showed the effectiveness of the robustness measure due to the fact that the schedule stability can be increased significantly with little or no reduction in makespan. In the same order of idea, Abumaiz ...
A Classification of Hyper-heuristic Approaches
... the goal is to intelligently select and use construction heuristics to gradually build a complete solution. The hyper-heuristic framework is provided with a set of preexisting (generally problem specific) construction heuristics, and the challenge is to select the heuristic that is somehow the most ...
... the goal is to intelligently select and use construction heuristics to gradually build a complete solution. The hyper-heuristic framework is provided with a set of preexisting (generally problem specific) construction heuristics, and the challenge is to select the heuristic that is somehow the most ...
CS-INFO 372: Explorations in Artificial Intelligence
... John McCarthy (1927- ), Marvin Minsky (1927 - ) , Herbert Simon (19162001), and Allen Newell (1927-1992) the start of the field of AI (1959) ...
... John McCarthy (1927- ), Marvin Minsky (1927 - ) , Herbert Simon (19162001), and Allen Newell (1927-1992) the start of the field of AI (1959) ...
A Genetic Fuzzy Approach for Rule Extraction for Rule
... higher interpretability than the other types of rules such as Mamdani and TKS[2] and is the focus of this paper. We have extended the Ishibuchi classification rule type for rulebased pattern classification. The proposed rule structure in this paper for uncertain rulebased pattern classification, for ...
... higher interpretability than the other types of rules such as Mamdani and TKS[2] and is the focus of this paper. We have extended the Ishibuchi classification rule type for rulebased pattern classification. The proposed rule structure in this paper for uncertain rulebased pattern classification, for ...
Mark Owen Riedl - College of Computing
... CS 7634 Intelligent Storytelling in Virtual Worlds: This effort is focused toward creating advanced classes about AI and games, storytelling, and entertainment. This class surveys the relevant literature from cognitive science, psychology, narratology, media studies, and artificial intelligence. Thi ...
... CS 7634 Intelligent Storytelling in Virtual Worlds: This effort is focused toward creating advanced classes about AI and games, storytelling, and entertainment. This class surveys the relevant literature from cognitive science, psychology, narratology, media studies, and artificial intelligence. Thi ...
"Real-Time Systems: An Introduction and the State-of-the
... overhead of preemptive algorithms is more difficult to characterize and predict than that of nonpreemptive algorithms. Nonpreemptive scheduling on a uniprocessor naturally guarantees exclusive access to shared resources and data, which eliminates both the need for synchronization and its associated ...
... overhead of preemptive algorithms is more difficult to characterize and predict than that of nonpreemptive algorithms. Nonpreemptive scheduling on a uniprocessor naturally guarantees exclusive access to shared resources and data, which eliminates both the need for synchronization and its associated ...
Higher Course Specification
... applications) the scope and limitations of expert systems Explanation of the effects of hardware developments (including faster processors, more memory, and increasing backing store capacity) on the field of AI Description of the implementation and advantages of parallel processing Description of th ...
... applications) the scope and limitations of expert systems Explanation of the effects of hardware developments (including faster processors, more memory, and increasing backing store capacity) on the field of AI Description of the implementation and advantages of parallel processing Description of th ...
Is there a future for AI without representation?
... computing machinery – the aim of so-called “strong AI”. The impression that AI has tacitly abandoned its original aims is strengthened by the widespread belief that there are arguments which have shown a fundamental flaw in all present AI, particularly that its symbols do not refer or represent, tha ...
... computing machinery – the aim of so-called “strong AI”. The impression that AI has tacitly abandoned its original aims is strengthened by the widespread belief that there are arguments which have shown a fundamental flaw in all present AI, particularly that its symbols do not refer or represent, tha ...
slides - UCLA Computer Science
... investing in AI startups, and noted academics joined some of these companies. 1986 sales of AIbased hardware and software were $425 million. Much of the new business were developing specialized hardware (e.g., LISP computers) and software (e.g., expert system shells sold by Teknowledge, Intellicorp, ...
... investing in AI startups, and noted academics joined some of these companies. 1986 sales of AIbased hardware and software were $425 million. Much of the new business were developing specialized hardware (e.g., LISP computers) and software (e.g., expert system shells sold by Teknowledge, Intellicorp, ...
Reciprocal tutoring using cognitive tools
... session, two peer students take turns to tutor each other on solving several programming problems. In general, one problem of reciprocal tutoring is that if the problems encountered by the tutee-tutor pair get too difficult, they might feel helpless and learning can become annoying and ineffective. ...
... session, two peer students take turns to tutor each other on solving several programming problems. In general, one problem of reciprocal tutoring is that if the problems encountered by the tutee-tutor pair get too difficult, they might feel helpless and learning can become annoying and ineffective. ...
Incremental Heuristic Search in AI
... fully dynamic shortest-path problems. As an example, we use route planning in known eight-connected gridworlds with cells whose traversability changes over time. They are either traversable (with cost one) or untraversable. The route-planning problem is to repeatedly find a shortest path between two ...
... fully dynamic shortest-path problems. As an example, we use route planning in known eight-connected gridworlds with cells whose traversability changes over time. They are either traversable (with cost one) or untraversable. The route-planning problem is to repeatedly find a shortest path between two ...
SetA*: An Efficient BDD-Based Heuristic Search Algorithm
... has to be found. However since 0K 0L is a single state this is trivial. Similar to the regular A* algorithm, SetA* continues popping the top node of the queue until the queue is either empty or the states of the top node overlaps with the goal. The top node is expanded by finding the image of it for ...
... has to be found. However since 0K 0L is a single state this is trivial. Similar to the regular A* algorithm, SetA* continues popping the top node of the queue until the queue is either empty or the states of the top node overlaps with the goal. The top node is expanded by finding the image of it for ...
Improving the Knowledge-Based Expert System Lifecycle
... Starting in the late 1950’s and early 1960’s, computer programs were written with the explicit goal of problem solving [Giarratano89]. Knowledge-based expert systems are one manifestation of the applications that trace their roots back to those early programs. Knowledge-based expert systems are comp ...
... Starting in the late 1950’s and early 1960’s, computer programs were written with the explicit goal of problem solving [Giarratano89]. Knowledge-based expert systems are one manifestation of the applications that trace their roots back to those early programs. Knowledge-based expert systems are comp ...
Expert System in Detecting Coffee Plant Diseases
... plant diseases and suggestion for alternative way to the right treatment. Symptoms of diseases and pests have due geographical variation. So there is always a need to develop a new expert system for a different geographical region or countries. In order to develop an expert system in agriculture, kn ...
... plant diseases and suggestion for alternative way to the right treatment. Symptoms of diseases and pests have due geographical variation. So there is always a need to develop a new expert system for a different geographical region or countries. In order to develop an expert system in agriculture, kn ...
s 1 - UNL CSE
... Gottlob, G., Leone, N., Scarcello, F. : On Tractable Queries and Constraints. In: 10th International Conference and Workshop on Database and Expert System Applications (DEXA 1999). (1999) Decther, R.: Constraint Processing. Morgan Kaufmann (2003) Freuder, E.C.: A Sufficient Condition for Backtrack-B ...
... Gottlob, G., Leone, N., Scarcello, F. : On Tractable Queries and Constraints. In: 10th International Conference and Workshop on Database and Expert System Applications (DEXA 1999). (1999) Decther, R.: Constraint Processing. Morgan Kaufmann (2003) Freuder, E.C.: A Sufficient Condition for Backtrack-B ...
Unit 1: Introduction to Artificial Intelligence
... the first men to fly on a biplane with an engine; their first short flight takes place on December 17th in USA, Kitty Hawk (North Carolina), and is considered as the origin of the aviation. Prior to that only animals were able to fly by using their wings. • Do planes actually fly? ...
... the first men to fly on a biplane with an engine; their first short flight takes place on December 17th in USA, Kitty Hawk (North Carolina), and is considered as the origin of the aviation. Prior to that only animals were able to fly by using their wings. • Do planes actually fly? ...
Management Information Systems 6/e
... most of the diagnosis and arrange the treatments yourself with/through IT? Is there a downside to predicting which patients are more likely to fall victim to specific diseases? (Hint: You might think about what you learned in you statistics ...
... most of the diagnosis and arrange the treatments yourself with/through IT? Is there a downside to predicting which patients are more likely to fall victim to specific diseases? (Hint: You might think about what you learned in you statistics ...
Practical Reasoning: An Opinionated Survey.
... done. He takes a bus to a stop near the stockbroker’s downtown address, gets off the bus, locates the building and enters it. He finds a bank of elevators, and sees that the stockbroker is on the 22nd floor. This man has a strong dislike for elevators, and is not feeling particularly energetic that ...
... done. He takes a bus to a stop near the stockbroker’s downtown address, gets off the bus, locates the building and enters it. He finds a bank of elevators, and sees that the stockbroker is on the 22nd floor. This man has a strong dislike for elevators, and is not feeling particularly energetic that ...
Evolving Real-time Heuristic Search Algorithms
... route, regardless of how distant the goal is. Another application of real-time heuristic search is distributed search such as routing in ad hoc sensor networks (Bulitko and Lee, 2006). Starting with LRTA* (Korf, 1990) real-time heuristic search agents interleave three processes: local planning, heur ...
... route, regardless of how distant the goal is. Another application of real-time heuristic search is distributed search such as routing in ad hoc sensor networks (Bulitko and Lee, 2006). Starting with LRTA* (Korf, 1990) real-time heuristic search agents interleave three processes: local planning, heur ...
Mind Design II : Philosophy, Psychology, Artificial Intelligence
... Rationality here means: acting so as best to satisfy your goals overall, given what you know and can tell about your situation. Subject to this constraint, we can surmise what a system wants and believes by watching what it does—but, of course, not in isolation. From all you can tell in isolation, a ...
... Rationality here means: acting so as best to satisfy your goals overall, given what you know and can tell about your situation. Subject to this constraint, we can surmise what a system wants and believes by watching what it does—but, of course, not in isolation. From all you can tell in isolation, a ...
Mind Design II : Philosophy, Psychology, Artificial Intelligence
... Rationality here means: acting so as best to satisfy your goals overall, given what you know and can tell about your situation. Subject to this constraint, we can surmise what a system wants and believes by watching what it does—but, of course, not in isolation. From all you can tell in isolation, a ...
... Rationality here means: acting so as best to satisfy your goals overall, given what you know and can tell about your situation. Subject to this constraint, we can surmise what a system wants and believes by watching what it does—but, of course, not in isolation. From all you can tell in isolation, a ...