From Natural Language to Soft Computing: New Paradigms
... the result of the transformations of natural language constructions into constructions of a Generalized Constraint Language (GCL). The expressive power of GCL is far greater than that of other AI languages (LISP, PROLOG) or other conventional logic-based meaningrepresentation languages (predicate lo ...
... the result of the transformations of natural language constructions into constructions of a Generalized Constraint Language (GCL). The expressive power of GCL is far greater than that of other AI languages (LISP, PROLOG) or other conventional logic-based meaningrepresentation languages (predicate lo ...
Intelligent Tutoring Systems: An Overview
... The first chapter provides an historical excursus and a description of the ITS, from a pedagogical and didactical point of view. Starting from the first domains-centered ITS, to arrive to the ill-structured domains ITS, and finally to reach the actual solutions. In these new solutions, a shift can b ...
... The first chapter provides an historical excursus and a description of the ITS, from a pedagogical and didactical point of view. Starting from the first domains-centered ITS, to arrive to the ill-structured domains ITS, and finally to reach the actual solutions. In these new solutions, a shift can b ...
AI in chemometrics
... • Determination of the configuration of some systems (for example C60) • The composition of complex materials (for example composites) • Molecular structure optimization • Protein folding (3D structure of proteins) • Protein-ligand docking ...
... • Determination of the configuration of some systems (for example C60) • The composition of complex materials (for example composites) • Molecular structure optimization • Protein folding (3D structure of proteins) • Protein-ligand docking ...
AAAI News - Association for the Advancement of Artificial Intelligence
... come out of Detroit—one from General Motors and one from Ford Motor Company, both long-time investors in AI technology and innovations. Michigan is further represented by the University of Michigan with three emerging applications that all stem from the SOAR intelligent agent (sitemaker.umich.edu/so ...
... come out of Detroit—one from General Motors and one from Ford Motor Company, both long-time investors in AI technology and innovations. Michigan is further represented by the University of Michigan with three emerging applications that all stem from the SOAR intelligent agent (sitemaker.umich.edu/so ...
Unit 1 : Computer Systems
... 2. Describe the Turing test and explain its rationale 3. Explain the need for a different approach to programming which could represent knowledge 4. Describe simply the development of game playing programs from simple early examples to contemporary complex examples exhibiting intelligence 5. Describ ...
... 2. Describe the Turing test and explain its rationale 3. Explain the need for a different approach to programming which could represent knowledge 4. Describe simply the development of game playing programs from simple early examples to contemporary complex examples exhibiting intelligence 5. Describ ...
Intuitions and Competence in Formal Semantics
... thus concerns the function that intuitions have. The second principle is about their content, viz., about what they are intuitions of. It holds that the content of the intuitions that are relevant for linguistic theory are linguistic facts. In general terms, intuitions are about properties of, and r ...
... thus concerns the function that intuitions have. The second principle is about their content, viz., about what they are intuitions of. It holds that the content of the intuitions that are relevant for linguistic theory are linguistic facts. In general terms, intuitions are about properties of, and r ...
A Case-Based Reasoning View of Automated Collaborative Filtering
... In fact Amazon.com does not make this mistake because the extreme representation-less view of ACF is unlikely to be pursued in practice. This mistake can be avoided by annotating assets with simple category descriptors in order to allow recommendations to be made in context. Such as simple extension ...
... In fact Amazon.com does not make this mistake because the extreme representation-less view of ACF is unlikely to be pursued in practice. This mistake can be avoided by annotating assets with simple category descriptors in order to allow recommendations to be made in context. Such as simple extension ...
A Genetic Fuzzy Approach for Rule Extraction for Rule
... αOPQRR S which means the given pattern xI cannot be classified by rule set S and is an unclassified pattern [4]. The value of the αOPQRR S can be considered as the confidence measure of assigning pattern xI to class h. The interval of αJ α J of the rule with maximum αJ 9xI ; defines the lo ...
... αOPQRR S which means the given pattern xI cannot be classified by rule set S and is an unclassified pattern [4]. The value of the αOPQRR S can be considered as the confidence measure of assigning pattern xI to class h. The interval of αJ α J of the rule with maximum αJ 9xI ; defines the lo ...
Chapter 18
... Fuzzy Logic and ANN (FuzzyNet) to Forecast the Expected Returns from Stocks, Cash, Bonds and Other Assets to Determine the Optimal Allocation of Assets ...
... Fuzzy Logic and ANN (FuzzyNet) to Forecast the Expected Returns from Stocks, Cash, Bonds and Other Assets to Determine the Optimal Allocation of Assets ...
Lexical Relations and WordNet
... meanings (semantic molecules) and to explain the semantic relations between words. For example, the representation of bachelor might be ANIMATE and HUMAN and MALE and ADULT and NEVER MARRIED. The representation of man might be ANIMATE and HUMAN and MALE and ADULT; because all the semantic components ...
... meanings (semantic molecules) and to explain the semantic relations between words. For example, the representation of bachelor might be ANIMATE and HUMAN and MALE and ADULT and NEVER MARRIED. The representation of man might be ANIMATE and HUMAN and MALE and ADULT; because all the semantic components ...
A New Entity Salience Task with Millions of Training Examples
... the document entity that appears earliest. In general, aligning an abstract to its source document is difficult (Daumé III and Marcu, 2005). ...
... the document entity that appears earliest. In general, aligning an abstract to its source document is difficult (Daumé III and Marcu, 2005). ...
Soft Computing: Constituent and Applications of Soft
... Soft Computing is dedicated to system solutions based on soft computing techniques. It provides rapid dissemination of important results in soft computing technologies, a fusion of research in evolutionary algorithms and genetic programming, neural science and neural net systems, fuzzy set theory an ...
... Soft Computing is dedicated to system solutions based on soft computing techniques. It provides rapid dissemination of important results in soft computing technologies, a fusion of research in evolutionary algorithms and genetic programming, neural science and neural net systems, fuzzy set theory an ...
Combining Clustering with Classification for Spam Detection in
... a great success in many areas, their training time is at least O(N 2 ) for training data of size N , which makes them non favourable for large data sets. The same problem applies to other classifiers as well. In this vein, clustering is used as a down-sampling pre-process to classification, in order ...
... a great success in many areas, their training time is at least O(N 2 ) for training data of size N , which makes them non favourable for large data sets. The same problem applies to other classifiers as well. In this vein, clustering is used as a down-sampling pre-process to classification, in order ...
13. Intelligent Information Systems.
... • Work with a data warehouse • Detect trends and discover information and relationships among data items that were not readily apparent • Helps detect potential problems that may arise in future which enables to come up with a solution that minimizes the negative effects of the problem ...
... • Work with a data warehouse • Detect trends and discover information and relationships among data items that were not readily apparent • Helps detect potential problems that may arise in future which enables to come up with a solution that minimizes the negative effects of the problem ...
Logical Foundations for Belief Representation WILLIAM J.
... a requirement. Users could be required to learn a rigid, canonical language for unambiguously expressing beliefs and to use this language with the system. Indeed, the system described here has this requirement. But if the system is to be considered as a cognitive agent, and especially if it is to be ...
... a requirement. Users could be required to learn a rigid, canonical language for unambiguously expressing beliefs and to use this language with the system. Indeed, the system described here has this requirement. But if the system is to be considered as a cognitive agent, and especially if it is to be ...
Curriculum Vitae
... as I am aware, this remains a rare attempt to successfully address the important practical problem of distinguishing between true exceptions and “noisy” data in non-monotonic reasoning. This research was directed by Professor Stephen Muggleton. ...
... as I am aware, this remains a rare attempt to successfully address the important practical problem of distinguishing between true exceptions and “noisy” data in non-monotonic reasoning. This research was directed by Professor Stephen Muggleton. ...
Chapter 02 Strategic Decision Making
... system and a transaction processing system? A. Order processing system B. Manufacturing system C. Stock market information system D. Transportation system A stock market information system is only found in an executive information system since it is an external source of information, the rest are in ...
... system and a transaction processing system? A. Order processing system B. Manufacturing system C. Stock market information system D. Transportation system A stock market information system is only found in an executive information system since it is an external source of information, the rest are in ...
Document
... HTML documents do not contain structural information about content: pieces of the document and their relationships. XML more easily accessible to machines because – Every piece of information is described. – Relations are also defined through the nesting structure. – E.g., the tags appear w ...
... HTML documents do not contain structural information about content: pieces of the document and their relationships. XML more easily accessible to machines because – Every piece of information is described. – Relations are also defined through the nesting structure. – E.g., the
AI Surveying: Artificial Intelligence In Business
... collecting data. This involved a literature review of books, journals, newspaper, magazines, etc., as well as “field work” research, through which additional data was gleaned from other researchers. Specifically, participation in AI USENET newsgroups allowed for the exchange of opinions and e-mail c ...
... collecting data. This involved a literature review of books, journals, newspaper, magazines, etc., as well as “field work” research, through which additional data was gleaned from other researchers. Specifically, participation in AI USENET newsgroups allowed for the exchange of opinions and e-mail c ...
Artificial Intelligence
... The agent detects a breeze in [2,1], so there must be a pit in a neighboring square. The pit cannot be in [1,1], by the rules of the game, so there must be a pit in [2,2] or [3,1] or both. The notation P ? in Figure 7.3(b) indicates a possible pit in those squares. At this point, there is only one k ...
... The agent detects a breeze in [2,1], so there must be a pit in a neighboring square. The pit cannot be in [1,1], by the rules of the game, so there must be a pit in [2,2] or [3,1] or both. The notation P ? in Figure 7.3(b) indicates a possible pit in those squares. At this point, there is only one k ...
A Review of Machine Learning for Automated Plan- ning
... number of objects is large, the resulting ground search trees cannot be traversed in a reasonable time. Moreover, where heuristics are poorly informed –like in the case of some domains with strong subgoals interactions– this kind of analysis is misleading. Domain-specific search control knowledge ha ...
... number of objects is large, the resulting ground search trees cannot be traversed in a reasonable time. Moreover, where heuristics are poorly informed –like in the case of some domains with strong subgoals interactions– this kind of analysis is misleading. Domain-specific search control knowledge ha ...
Intelligent Virtual Environments - A State-of-the
... itself. However, constraint programming in itself is not a reactive technique: it emulates reactivity because it can produce a solution quickly enough. The interaction cycle is determined by the speed at which new solutions are computed. In other words, the sampling rate of object manipulation in th ...
... itself. However, constraint programming in itself is not a reactive technique: it emulates reactivity because it can produce a solution quickly enough. The interaction cycle is determined by the speed at which new solutions are computed. In other words, the sampling rate of object manipulation in th ...
Looking for Interesting Inconsistencies in Structured
... entities related in some way over a period of time. In many domains, stories will follow a stereotypical sequence. A criminal act for example may begin with the offence, continue through investigation, arrest, trial, through to conviction and possibly appeal. In some domains, the transition from sta ...
... entities related in some way over a period of time. In many domains, stories will follow a stereotypical sequence. A criminal act for example may begin with the offence, continue through investigation, arrest, trial, through to conviction and possibly appeal. In some domains, the transition from sta ...
1 Copyright © 2009 Pearson Education, Inc. Publishing as Prentice
... Copyright © 2009 Pearson Education, Inc. Publishing as Prentice Hall ...
... Copyright © 2009 Pearson Education, Inc. Publishing as Prentice Hall ...