A Revision and Experience using Cognitive Mapping and
... sources of such knowledge as text, interviews with experts and the experts’ observations. Support to diversity of perspectives including other experts, to diversity of types of knowledge and relationships among the knowledge, to the presentation of knowledge of diverse sources with clarity, in what ...
... sources of such knowledge as text, interviews with experts and the experts’ observations. Support to diversity of perspectives including other experts, to diversity of types of knowledge and relationships among the knowledge, to the presentation of knowledge of diverse sources with clarity, in what ...
now
... available tools and components, while DSS is often built from scratch Fifth, DSS methodologies and even some tools were developed mostly in the academic world, while BI methodologies and tools were developed mostly by software companies Sixth, many of the tools that BI uses are also considered DSS t ...
... available tools and components, while DSS is often built from scratch Fifth, DSS methodologies and even some tools were developed mostly in the academic world, while BI methodologies and tools were developed mostly by software companies Sixth, many of the tools that BI uses are also considered DSS t ...
decision support
... Modified from Decision Support Systems and Business Intelligence Systems 9E. ...
... Modified from Decision Support Systems and Business Intelligence Systems 9E. ...
CS 561a: Introduction to Artificial Intelligence
... The two approaches interact to some extent, and both should eventually succeed. It is a race, but both racers seem to be walking. [John McCarthy] ...
... The two approaches interact to some extent, and both should eventually succeed. It is a race, but both racers seem to be walking. [John McCarthy] ...
Artificial Intelligent Application to Power System Protection
... more precisely; it is easy to apply sophisticated corrections; the hardware is standardized and may communicate with other protection and control systems; relays are capable of self-monitoring. All this, however, did not make a major breakthrough in power system protection as far as security, depend ...
... more precisely; it is easy to apply sophisticated corrections; the hardware is standardized and may communicate with other protection and control systems; relays are capable of self-monitoring. All this, however, did not make a major breakthrough in power system protection as far as security, depend ...
Concepts and Concept
... Higher level representations may be transformed to a lower level representation (by a computer) for example a decision tree may be converted to a set of rules. Some forms of knowledge may be more easily ...
... Higher level representations may be transformed to a lower level representation (by a computer) for example a decision tree may be converted to a set of rules. Some forms of knowledge may be more easily ...
What is AI?
... The role of domain specific knowledge, expert systems. Representation and reasoning languages (e.g., Prolog and frame-based languages). • AI becomes industry (1980-present) The first successful expert system: R1 (McDermott, DEC). The Japanese 5th generation project (1981) and its emphasis on logic p ...
... The role of domain specific knowledge, expert systems. Representation and reasoning languages (e.g., Prolog and frame-based languages). • AI becomes industry (1980-present) The first successful expert system: R1 (McDermott, DEC). The Japanese 5th generation project (1981) and its emphasis on logic p ...
Data Mining Applications in Tourism: A Keyword Analysis
... In order to gain insight into the mutual interconnection between the various keywords in papers that investigate data mining applications in tourism, we constructed a conceptual network based on co-affiliation; e. g. two keywords are connected if they are used in the same article which is similar to ...
... In order to gain insight into the mutual interconnection between the various keywords in papers that investigate data mining applications in tourism, we constructed a conceptual network based on co-affiliation; e. g. two keywords are connected if they are used in the same article which is similar to ...
Intelligence decision systems in enterprise information management
... various operational and transaction data can be transformed into information and then knowledge by using business intelligence (BI) tools. Enterprises decision makers make better business decisions (Wu, 2010). Decision making is one of the most important tasks for enterprise managers, and is genera ...
... various operational and transaction data can be transformed into information and then knowledge by using business intelligence (BI) tools. Enterprises decision makers make better business decisions (Wu, 2010). Decision making is one of the most important tasks for enterprise managers, and is genera ...
Enterprise Knowledge model for Legacy database
... IV. KNOWLEDGE BASE MODEL ARCHITECTURE The framework in figure 2 describes how to build domain ontology from existing legacy relational database. Building Ontology through using a suite of integrated tools may assist in making web-based information systems more intelligible[5][12]. ...
... IV. KNOWLEDGE BASE MODEL ARCHITECTURE The framework in figure 2 describes how to build domain ontology from existing legacy relational database. Building Ontology through using a suite of integrated tools may assist in making web-based information systems more intelligible[5][12]. ...
AI100 presentation at IJCAI 2015
... education, healthcare transportation, science, or government, thus contributing to the overall vitality of society? • What problems and bottlenecks are ripe for being solved or addressed with computational systems that can perceive, learn, reason, and plan? • Where might AI systems unlock great valu ...
... education, healthcare transportation, science, or government, thus contributing to the overall vitality of society? • What problems and bottlenecks are ripe for being solved or addressed with computational systems that can perceive, learn, reason, and plan? • Where might AI systems unlock great valu ...
1 WEATHER PREDICTION EXPERT SYSTEM
... upon the happenings of comparable cases (i.e., similar weather situations). The empirical approach is useful for predicting local-scale weather if recorded cases are plentiful (e.g., cloud ceiling and visibility in a few square kilometers around an airport). The dynamical approach is based upon equa ...
... upon the happenings of comparable cases (i.e., similar weather situations). The empirical approach is useful for predicting local-scale weather if recorded cases are plentiful (e.g., cloud ceiling and visibility in a few square kilometers around an airport). The dynamical approach is based upon equa ...
Is Distributed Connectionism Compatible with the Physical Symbol
... conviction that cognition is computation, artificial intelligence researchers are investigating computational models as a means of discovering properties shared by all intelligent systems. One property that has been proposed as central to intelligence is the ability to construct and manipulate symbo ...
... conviction that cognition is computation, artificial intelligence researchers are investigating computational models as a means of discovering properties shared by all intelligent systems. One property that has been proposed as central to intelligence is the ability to construct and manipulate symbo ...
Agent Shell for the Development of Tutoring Systems for Expert
... The developed methods for building such cognitive assistants have been implemented into a new type of tool, called learning and tutoring agent shell. This shell can be taught by a subject matter expert, and can then teach students in ways that are similar to how it was taught. The shell has been use ...
... The developed methods for building such cognitive assistants have been implemented into a new type of tool, called learning and tutoring agent shell. This shell can be taught by a subject matter expert, and can then teach students in ways that are similar to how it was taught. The shell has been use ...
Machine translation and artificial intelligence
... The standard reaction to such syntactic results was to argue that this only showed the need for linguistic semantics, so as to reduce the "readings" in such cases to the appropriate one. Bar-Hillel's response was to argue that it was not a matter of semantic additions at all, but of the, for him, un ...
... The standard reaction to such syntactic results was to argue that this only showed the need for linguistic semantics, so as to reduce the "readings" in such cases to the appropriate one. Bar-Hillel's response was to argue that it was not a matter of semantic additions at all, but of the, for him, un ...
Management Information Systems Chapter 12 Enhancing Decision
... plan, decide things, and control the work of others • Behavioral models- states that the actual behavior of managers appears to be less systematic, more informal, less reflective, more reactive and less well organized Studying day to day behavior, Managerial roles are ...
... plan, decide things, and control the work of others • Behavioral models- states that the actual behavior of managers appears to be less systematic, more informal, less reflective, more reactive and less well organized Studying day to day behavior, Managerial roles are ...
Faculty of Arts Atkinson College
... In chapter 11, we studied: What is meant by artificial intelligence How expert systems are developed and how they perform How AI has been applied to other arenas, such as natural language processing and neural computing The concept and usefulness of intelligent agents Ethical and legal i ...
... In chapter 11, we studied: What is meant by artificial intelligence How expert systems are developed and how they perform How AI has been applied to other arenas, such as natural language processing and neural computing The concept and usefulness of intelligent agents Ethical and legal i ...
sv-lncs - United International College
... user. In most applications chatterbots are used as guides who can show the user around on a website. The purpose of a chatbot system is to simulate a human conversation; the chatbot architecture integrates a language model and computational algorithms to emulate informal chat communication between a ...
... user. In most applications chatterbots are used as guides who can show the user around on a website. The purpose of a chatbot system is to simulate a human conversation; the chatbot architecture integrates a language model and computational algorithms to emulate informal chat communication between a ...
quantities Known
... human factor, which meant that many knowledge management systems never delivered what they promised. It’s important to revisit knowledge management practices, because they represent the tools that let us maintain and grow our organisational knowledge assets, which in turn are the drivers of business ...
... human factor, which meant that many knowledge management systems never delivered what they promised. It’s important to revisit knowledge management practices, because they represent the tools that let us maintain and grow our organisational knowledge assets, which in turn are the drivers of business ...
Knowledge acquisition and processing: new methods for
... Neuro-fuzzy systems are soft computing methods utilizing artificial neural networks and fuzzy systems. Various connectionist architectures of neuro-fuzzy systems can be constructed. The knowledge acquisition concerns fuzzy IF-THEN rules, and is performed by a learning process. The systems realize an ...
... Neuro-fuzzy systems are soft computing methods utilizing artificial neural networks and fuzzy systems. Various connectionist architectures of neuro-fuzzy systems can be constructed. The knowledge acquisition concerns fuzzy IF-THEN rules, and is performed by a learning process. The systems realize an ...
knowledge management systems support seci
... content based filtering, collaborative filtering and rule based engine. The data which is collected by examining the user's behaviour either directly from evaluating the watched programs or indirectly through the collaboration of other users in the TV social network (Socialization/Tacit) is cross ch ...
... content based filtering, collaborative filtering and rule based engine. The data which is collected by examining the user's behaviour either directly from evaluating the watched programs or indirectly through the collaboration of other users in the TV social network (Socialization/Tacit) is cross ch ...
Formalisms for Multi-Agent Systems
... whatsoever on the development of the field. In view of this, what features do current approaches have that make them distinct and important for agent researchers and practitioners? What fundamental issues drive this work? Two views emerge. One is that we need to construct new techniques for reasonin ...
... whatsoever on the development of the field. In view of this, what features do current approaches have that make them distinct and important for agent researchers and practitioners? What fundamental issues drive this work? Two views emerge. One is that we need to construct new techniques for reasonin ...
CHIME: Service-oriented Framework for Adaptive Web
... realize that the most artifacts are inaccessible to the general public and experts distributed around the world. Museums own many more artifacts than they can show in their main exhibition at any one time. Large investments are being made to "capture" the artifacts digitally, and projects have been ...
... realize that the most artifacts are inaccessible to the general public and experts distributed around the world. Museums own many more artifacts than they can show in their main exhibition at any one time. Large investments are being made to "capture" the artifacts digitally, and projects have been ...
Click Here For
... Vector Machines. Artificial Neural Networks: - Introduction, artificial neural Networks, Single-Layer FeedForward Networks, Multi-Layer Feed-Forward Network, Radial-Basis Function Networks, Design Issues of ...
... Vector Machines. Artificial Neural Networks: - Introduction, artificial neural Networks, Single-Layer FeedForward Networks, Multi-Layer Feed-Forward Network, Radial-Basis Function Networks, Design Issues of ...
November 2008_Introduction - School of Computer Science and
... Paraphrased from W3 Semantic Web Consortium http://www.w3.org/2001/sw/ ...
... Paraphrased from W3 Semantic Web Consortium http://www.w3.org/2001/sw/ ...
Expert system
In artificial intelligence, an expert system is a computer system that emulates the decision-making ability of a human expert.Expert systems are designed to solve complex problems by reasoning about knowledge, represented primarily as if–then rules rather than through conventional procedural code. The first expert systems were created in the 1970s and then proliferated in the 1980s. Expert systems were among the first truly successful forms of AI software.An expert system is divided into two sub-systems: the inference engine and the knowledge base. The knowledge base represents facts and rules. The inference engine applies the rules to the known facts to deduce new facts. Inference engines can also include explanation and debugging capabilities.