dept of computer sciences - University Of Nigeria Nsukka
... programme of the department is designed to produce graduates in computer hardware and software development. The programme also places a strong emphasis on interdisciplinary cooperation between the Department and related disciplines. Hence other than graduates of computer science, graduates of electr ...
... programme of the department is designed to produce graduates in computer hardware and software development. The programme also places a strong emphasis on interdisciplinary cooperation between the Department and related disciplines. Hence other than graduates of computer science, graduates of electr ...
Intelligent tutoring systems survey | SpringerLink
... started in the 1950's with simple `linear programs' . In the 1960's it was felt that one could use the student's response to control the material that the student would be shown . In this way students should learn more effectively as they attempt problems of an appropriate difficulty, rather than wa ...
... started in the 1950's with simple `linear programs' . In the 1960's it was felt that one could use the student's response to control the material that the student would be shown . In this way students should learn more effectively as they attempt problems of an appropriate difficulty, rather than wa ...
Computational Intelligence in Steganalysis Environment
... signal. It is expected to have high degree of robustness, security and perceptual transparency. However, a study [10] has shown that the SSW approach has leak security for detecting exact location of watermark signal through an attack based on genetic algorithm. Besides that, the use of genetic algo ...
... signal. It is expected to have high degree of robustness, security and perceptual transparency. However, a study [10] has shown that the SSW approach has leak security for detecting exact location of watermark signal through an attack based on genetic algorithm. Besides that, the use of genetic algo ...
ICT619-06-PoolOfExamQuestions
... symbolic value representing any one of three possible categories a, b or c. Assuming solutions are coded as bit strings, show an example of a candidate solution. ...
... symbolic value representing any one of three possible categories a, b or c. Assuming solutions are coded as bit strings, show an example of a candidate solution. ...
issues, results and the LLL challenge
... LLL challenge Stephen Muggleton Abstract. Inductive Logic Programming (ILP) [9, 11] is the area of AI which deals with the induction of hypothesised predicate definitions from examples and background knowledge. Logic programs are used as a single representation for examples, background knowledge and ...
... LLL challenge Stephen Muggleton Abstract. Inductive Logic Programming (ILP) [9, 11] is the area of AI which deals with the induction of hypothesised predicate definitions from examples and background knowledge. Logic programs are used as a single representation for examples, background knowledge and ...
Jessica`s CV - IE version - Artificial Intelligence Applications Institute
... PhD research project on the formalisation and use of business models: I have developed a formal method that can be used to support a business modelling method (IBM's BSDM). Based on this formal method, I have also developed a framework and a knowledge based tool (KBST-BM) to support the development ...
... PhD research project on the formalisation and use of business models: I have developed a formal method that can be used to support a business modelling method (IBM's BSDM). Based on this formal method, I have also developed a framework and a knowledge based tool (KBST-BM) to support the development ...
Spring Symposium Series - Association for the Advancement of
... part of their research. This symposium is designed to address issues raised by the interaction or integration of natural language understanding in complete systems. Rather than see natural language as a text meaning extraction problem, the symposium’s emphasis is on how the goals of an intelligent s ...
... part of their research. This symposium is designed to address issues raised by the interaction or integration of natural language understanding in complete systems. Rather than see natural language as a text meaning extraction problem, the symposium’s emphasis is on how the goals of an intelligent s ...
Recent and Current Artificial Intelligence Research in
... moved forward in time as the story progresses in time, and it functions as the temporal deictic center to which all the events and situations that occur in the story are related. The major focus of our research is on how the various factors mentioned here interact with and affect this narrative ...
... moved forward in time as the story progresses in time, and it functions as the temporal deictic center to which all the events and situations that occur in the story are related. The major focus of our research is on how the various factors mentioned here interact with and affect this narrative ...
pdf (paper) - Pascal Hitzler
... Semantic Web applications require knowledge represented in the form of ontologies. However, the generation of such ontologies is a formidable modeling task which requires both ontology modeling expertise, profound domain knowledge, and an understanding of technical application requirements. Any auto ...
... Semantic Web applications require knowledge represented in the form of ontologies. However, the generation of such ontologies is a formidable modeling task which requires both ontology modeling expertise, profound domain knowledge, and an understanding of technical application requirements. Any auto ...
View PDF - Advances in Cognitive Systems
... Another central assumption of initial AI research was that intelligence involves heuristic search (Newell & Simon, 1976). Although not the only field to adopt the search metaphor, AI was distinctive in its use of heuristics that, although not guaranteed to produce results, often made problems tracta ...
... Another central assumption of initial AI research was that intelligence involves heuristic search (Newell & Simon, 1976). Although not the only field to adopt the search metaphor, AI was distinctive in its use of heuristics that, although not guaranteed to produce results, often made problems tracta ...
Artificial Intelligence - University of Regina
... • Can a machine think ? • What is thinking ? • Features of the test : – Objective notion of intelligence. – The test is an essential tool in both the development and verification of modern expert systems. ...
... • Can a machine think ? • What is thinking ? • Features of the test : – Objective notion of intelligence. – The test is an essential tool in both the development and verification of modern expert systems. ...
2.2 Health Recommender System - YesBut
... when making diagnosis and prescribing medicines if the system can give proper recommendation based on the similar history records in the database. Also, it reduces the probability of false diagnosis if the system can acquire knowledge related to the clinical case based on other clinician’s experien ...
... when making diagnosis and prescribing medicines if the system can give proper recommendation based on the similar history records in the database. Also, it reduces the probability of false diagnosis if the system can acquire knowledge related to the clinical case based on other clinician’s experien ...
Artificial Intelligence : A Perspective!
... the factory . Of course practical robots need not necessarily resemble people . After all , they are built of different , often superior materials , and they need not perform such a wide range of tasks . Nevertheless many indus trialists believe there are many tasks that defy automation with anythin ...
... the factory . Of course practical robots need not necessarily resemble people . After all , they are built of different , often superior materials , and they need not perform such a wide range of tasks . Nevertheless many indus trialists believe there are many tasks that defy automation with anythin ...
Digital Steganalysis: Computational Intelligence Approach
... art of using natural language to conceal secret message [27]. It focuses on hiding information in text by using steganography [28-34] and linguistic steganography [35-39]. The crucial requirement for steganography is perceptual and algorithmic undetectability. In any case, once the presence of hidde ...
... art of using natural language to conceal secret message [27]. It focuses on hiding information in text by using steganography [28-34] and linguistic steganography [35-39]. The crucial requirement for steganography is perceptual and algorithmic undetectability. In any case, once the presence of hidde ...
- Cambridge Center for Behavioral Studies
... community, and it more easily accounts for dialects and gradual shifts in language than does a rigid set of rules. “Meaning” exists not within the word, but within the way that people speak and understand the word. Within the context of this “sea change” in the field of natural language processing, ...
... community, and it more easily accounts for dialects and gradual shifts in language than does a rigid set of rules. “Meaning” exists not within the word, but within the way that people speak and understand the word. Within the context of this “sea change” in the field of natural language processing, ...
Artificial Intelligence And Expert Systems
... The Turing Test, proposed by Alan Turing (Turing, 1950), was designed to provide a satisfactory operational definition of intelligence. Turing defined intelligent behavior as the ability to achieve human-level performance in all cognitive tasks, sufficient to fool an interrogator. Roughly speaking, ...
... The Turing Test, proposed by Alan Turing (Turing, 1950), was designed to provide a satisfactory operational definition of intelligence. Turing defined intelligent behavior as the ability to achieve human-level performance in all cognitive tasks, sufficient to fool an interrogator. Roughly speaking, ...
(AI)?
... mind into the computer? Some researchers say they have that objective, but maybe they are using the phrase metaphorically. The human mind has a lot of peculiarities, and I'm not sure anyone is serious about imitating all of them. AI & Expert Systems ...
... mind into the computer? Some researchers say they have that objective, but maybe they are using the phrase metaphorically. The human mind has a lot of peculiarities, and I'm not sure anyone is serious about imitating all of them. AI & Expert Systems ...
(AI)?
... mind into the computer? Some researchers say they have that objective, but maybe they are using the phrase metaphorically. The human mind has a lot of peculiarities, and I'm not sure anyone is serious about imitating all of them. AI & Expert Systems ...
... mind into the computer? Some researchers say they have that objective, but maybe they are using the phrase metaphorically. The human mind has a lot of peculiarities, and I'm not sure anyone is serious about imitating all of them. AI & Expert Systems ...
Simple Pictures That State-of-the-Art AI Still Can`t
... time thinking about what makes today’s computer brains tick, were struck by the findings. At least initially, they were surprised these powerful algorithms could be so plainly wrong. Mind you, these were still people publishing papers on neural networks and hanging out at one of the year’s brainiest ...
... time thinking about what makes today’s computer brains tick, were struck by the findings. At least initially, they were surprised these powerful algorithms could be so plainly wrong. Mind you, these were still people publishing papers on neural networks and hanging out at one of the year’s brainiest ...
SIGCHI Conference Paper Format
... and/or services to the user, where relevancy depends on the user’s task”. In order to make a system context-aware, it is necessary to 1) acquire contextual information from sensors, 2) model and represent contextual information, 3) store and manage contextual information, and 4) retrieve and interpr ...
... and/or services to the user, where relevancy depends on the user’s task”. In order to make a system context-aware, it is necessary to 1) acquire contextual information from sensors, 2) model and represent contextual information, 3) store and manage contextual information, and 4) retrieve and interpr ...
Frankenstein and AI 36KB Mar 11 2003 09:24:32 PM
... Victor Frankenstein’s creation was far from perfect. In fact, it was so ugly, Victor himself could hardly set his eyes upon it. The horrendous creature upset any presence around him. Our creations would not be any different than Victor Frankenstein’s. AI brings up several questions concerning morali ...
... Victor Frankenstein’s creation was far from perfect. In fact, it was so ugly, Victor himself could hardly set his eyes upon it. The horrendous creature upset any presence around him. Our creations would not be any different than Victor Frankenstein’s. AI brings up several questions concerning morali ...
Computational Creativity
... Creativity seems mysterious because when we have creative ideas it is very difficult to explain how we got them and we often talk about vague notions like “inspiration” and “intuition” when we try to explain creativity. The fact that we are not conscious of how a creative idea manifests itself does ...
... Creativity seems mysterious because when we have creative ideas it is very difficult to explain how we got them and we often talk about vague notions like “inspiration” and “intuition” when we try to explain creativity. The fact that we are not conscious of how a creative idea manifests itself does ...
Expert Systems and Artificial Intelligence
... allowed the user to avoid having to completely program the system from scratch Modern shells contain two primary modules: a rule set builder and an inference engine Marakas: Decision Support Systems, 2nd Edition © 2003, Prentice-Hall ...
... allowed the user to avoid having to completely program the system from scratch Modern shells contain two primary modules: a rule set builder and an inference engine Marakas: Decision Support Systems, 2nd Edition © 2003, Prentice-Hall ...