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Artificial Intelligence Meets Modern Computer Science
Artificial Intelligence Meets Modern Computer Science

... discrete mathematics and data structures, CS students are finally able to apply their talents to the design of solutions for complex tasks and to use more sophisticated problem solving tools. The AI topics and applications these students address include: ...
Course Outline
Course Outline

... and engineering challenges of formally representing and reasoning about commonsense knowledge for the purposes of simulating and assisting human activity in the production of documents. The instructors are committed to cutting-edge R&D in the intersection of logic, AI, and document creation and prod ...
Title Goes Here - Binus Repository
Title Goes Here - Binus Repository

... These systems support complex non-routine decisions Primary purpose to process data into information DSS systems are typically employed by tactical level management whose decisions and what-if analyses are less structured This information system not only presents the results but also expands the inf ...
ConceptNet - Media Lab Login
ConceptNet - Media Lab Login

... formal taxonomies of words, ConceptNet focuses on a richer (though still very pragmatic) set of semantic relations (e.g. EffectOf, DesireOf, CapableOf) between compound concepts (e.g. “buy food,” “drive car”). The Cyc project, begun in 1984 by Doug Lenat, tries to formalize commonsense knowledge int ...
Lecture 05 Part A - First Order Logic (FOL)
Lecture 05 Part A - First Order Logic (FOL)

...  Propositional logic is declarative  Propositional logic is compositional: meaning of B1,1 ∧ P1,2 is ...
Slide 1 - Binus Repository
Slide 1 - Binus Repository

... Chapter Preview  In this chapter, we will study: 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 Et ...
pdf (paper) - Pascal Hitzler
pdf (paper) - Pascal Hitzler

... The Semantic Web [27] is gaining momentum. Driven by over 10 years of focused project funding in the US and the EU, Semantic Web Technologies are now entering application areas in industry, academia, government, and the open Web. The Semantic Web is based on the idea of describing the meaning – or s ...
chapter 4 ppt
chapter 4 ppt

... science of making machines imitate ____________ thinking and behavior. ...
evolutionary view
evolutionary view

... ◦ If the organism carries a “small-scale model” of external reality and of its own possible actions within its head, it is able to try out various alternatives, conclude which are the best of them, react to future situations before they arise, utilize the knowledge of past events in dealing with the ...
Natural Language Understanding - Association for the Advancement
Natural Language Understanding - Association for the Advancement

... To approach the problem of how to characterize and use the meaning of sentences, a third group of programs was developed during the mid-1960s. In these limited-logic systems, including Raphael’s SIR, Quillian’s TLC, Thompson’s DEACON, and Kellogg’s CONVERSE, the information in the database was store ...
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Web of Thought

... Why Logic alone isn't the answer ...
MetaMAc, or What Do I Do Now? A strategic perspective
MetaMAc, or What Do I Do Now? A strategic perspective

... mean “I want to be at the beach,” which is a state-goal. Yet we also have maintenance goals, such as “keeping the room picked up” which presumably means vigilantly acting on any upcoming needs to do a picking-up action. In addition, there are intentions that are goal-like but perhaps not best descri ...
Joint issue with NOVÁTICA Artificial Intelligence
Joint issue with NOVÁTICA Artificial Intelligence

... and the ones in the lower part are focused on processes related to behaviour. The definitions in the left column measure the success of AI from the human perspective (which requires an empirical approach) and those in the right column do the same from a rational perspective, a concept of intelligence ...
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... An integrated research direction of knowledge engineering and management is a key task [336, 372, 436, 558, 900]. This section addresses some issues of this direction, including the main problems, approaches, and applied systems. 2.2.1 Schemes and Methods In recent years, issues of skill /knowledge ...
Rachel Greenstadt Department of Computer Science Drexel
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... Way of representing knowledge and structure on a problem so that standard heuristics can be applied ...
Review of Logical Foundations of Artificial Intelligence
Review of Logical Foundations of Artificial Intelligence

... the word model ultil five pages later. I would have preferred to see "Model theory" as the title of that section. The first paragraph should have an informal discussion about models and their role in defining the semantics of a logical system. It wold also help to point out that for propositional lo ...
On Efficiency of Learning: A Framework and Justification.
On Efficiency of Learning: A Framework and Justification.

... There are approaches using e.g. genetic algorithms for self-control [17]. They offer evidence of improved efficiency. They use simple learning, in my terminology. Why not generalize this and use complex learning? It should be even more efficient. This is enabled by my assumption: PS is part of envir ...
Curriculum Vitae
Curriculum Vitae

... Assist instructors in marking assignment and assist the students in different classes such as system programming, data structure. ...
Edward Feigenbaum - IEEE Computer Society
Edward Feigenbaum - IEEE Computer Society

... AI and computer design. They learned how to do parallel computing, how to do AI, and what it means to build an AI system. All of that penetrated right back into industry because the project work was being done by engineers that came from industry: Hitachi, Fujitsu, Toshiba, and other industrial gian ...
The use of artificial intelligence techniques in preliminary structural
The use of artificial intelligence techniques in preliminary structural

... assign values to predefined variables. ...
Current and Future Trends in AI
Current and Future Trends in AI

... the importance of this can be judged only now that Google is our daily reality. In the early part of the second half of the 20th century, Knowledge Representation and Reasoning (KRR) was the principal challenge (often articulated as DARPA research). The logical consequence of the interest in KRR was ...
Ch 4
Ch 4

... and adjust to new circumstances on their own  Take part in massive parallel processing  Function without complete information  Cope with huge volumes of information  Analyze nonlinear relationships ...
Will AI surpass human intelligence? -
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... – Humans must observe the target phenomenon and devise new features. ...
AI: Its Roots and Scope - CSUDH Computer Science
AI: Its Roots and Scope - CSUDH Computer Science

... 5. An attempt to deal with issues of semantic meaning as well as syntactic form. 6. Answers that are neither exact nor optimal, but are in some sense “sufficient”. This is a result of the essential reliance on heuristic problem-solving methods in situations where optimal or exact results are either ...
document - Greensprings School
document - Greensprings School

...  Collection, creation and maintenance of ...
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Knowledge representation and reasoning

Knowledge representation and reasoning (KR) is the field of artificial intelligence (AI) dedicated to representing information about the world in a form that a computer system can utilize to solve complex tasks such as diagnosing a medical condition or having a dialog in a natural language. Knowledge representation incorporates findings from psychology about how humans solve problems and represent knowledge in order to design formalisms that will make complex systems easier to design and build. Knowledge representation and reasoning also incorporates findings from logic to automate various kinds of reasoning, such as the application of rules or the relations of sets and subsets.Examples of knowledge representation formalisms include semantic nets, systems architecture, Frames, Rules, and ontologies. Examples of automated reasoning engines include inference engines, theorem provers, and classifiers.
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