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From: AAAI Technical Report S-9 -0 . Compilation copyright © 199
From: AAAI Technical Report S-9 -0 . Compilation copyright © 199

... then the system will becomeself validating. This is illustrated througha rigorous development methodologythat utilizes formal techniquesin the specification of the domainknowledge,the cognitive aspects and the representation. The paper introduces the concept of the Meta Knowledge-Level,a variant of ...
What kind of cognitive process is argumentation?
What kind of cognitive process is argumentation?

... Minimally argumentative agents – not for passing Turing tests but for human/machine interaction and knowledge acquisition This is an exercise in android epistemology... ...
How Bodies Matter to Minds - Action
How Bodies Matter to Minds - Action

... abstract qualities from the environment, which are recovered by internal representation. ...
Artificial intelligence tools for software engineering
Artificial intelligence tools for software engineering

... Traceability in a software project is ensured by a set of links between requirements that traces the evolution and choices in the development of a software. As traceability is involved in other quality criteria such as consistency or completude, we focused on tools which aim at mastering traceabilit ...
Fall Symposium Series
Fall Symposium Series

... an important role in AI systems for many years. However, formal logical explication of contexts remains an area of research with significant open issues. This symposium will provide a forum for discussing formalizations of contexts, approaches to resolving open issues, and application areas for cont ...
Embodiment
Embodiment

... Propositions are often a factorization of the state space. The logic representation may be more compact than the state space representation, but the algorithms to find a solution that were polynomial in the state space become combinatorial in the logic representation. ...
Business Intelligence: The Next Frontier for Information Systems
Business Intelligence: The Next Frontier for Information Systems

... Over the past five years, the appearance of applications requiring or benefiting from business intelligence has accelerated. For example, electronic markets for the buying and selling of goods and services over the Web is a fast-growing, multi-billion-dollar segment of the world economy. Knowledge-b ...
Artificial Intelligence in Cyber Defense - CCDCOE
Artificial Intelligence in Cyber Defense - CCDCOE

... a program that could beat the world champion. However, this happened sooner than expected. This had three reasons: increased computing power, development of a good search algorithm (that can be used in many applications beside chess, see the section on search below), and well organized knowledge bas ...
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... GENERAL PROBLEM SOLVER ...
DSP705
DSP705

... Artificial intelligence includes rather new technologies that can be used to solve complex business problems in different domains. The information technology specialist must be able to select the most suitable artificial intelligence technologies for business problems. The main topic is their usage ...
The DARPA High Performance Knowledge Bases
The DARPA High Performance Knowledge Bases

... These analytic tasks afford many opportunities for knowledge-based systems. One is to use knowledge bases to retain or multiply corporate expertise; another is to use knowledge and reasoning to “think outside the box,” to generate analytic possibilities that a human analyst might overlook. The latte ...
Artificial Intelligence - Academic Science,International Journal of
Artificial Intelligence - Academic Science,International Journal of

... communicate with humans in unstructured English using text or voice, navigate in an unprepared environment and will have some rudimentary common sense. As we speak to tell someone something and they read to understand it. Similarly we will talk to machines. E.g. When we say, “JIM, HOW ARE YOU DOING? ...
X - Natural Language Processing Lab., Korea University
X - Natural Language Processing Lab., Korea University

...  Automatic Theorem Proving is the oldest branch of ...
The Hybrid Intelligent Systems group has developed robots that are
The Hybrid Intelligent Systems group has developed robots that are

... capable of natural behaviour in everyday real world situations. This involves investigating many cognitive tasks, for example, navigation, language processing and visual recognition. In a number of projects we use our cognitive robots to study learning and communication in real world environments. T ...
s.Push(nextV)
s.Push(nextV)

... Review Topics Test 1 ...
Formal Definition of a
Formal Definition of a

... The extended Case Factory approach extends the SEASALT architecture with a maintenance mechanism for CBR systems. If a topic agent has access to a CBR system, a CF is provided to maintain the CBR system. To coordinate several CFs a so-called Case Factory Organization (CFO) is provided, which consist ...
mwr-paper.pdf
mwr-paper.pdf

... A central field within the research of artificial intelligence (AI) is the development of knowledge representation formalisms. Knowledge representations are needed when computer systems must work with information which is not conveniently accessible or usable in its “natural” form (e.g., geographica ...
Foundations and Grand Challenges of Artificial Intelligence
Foundations and Grand Challenges of Artificial Intelligence

... same role in artificial intelligence that the studies of E. Coli play in biology. It illustrates and illuminates many problems that arise in AI and leads to techniques that can be generalized to work on other problems. Chess is perhaps one area which has been studied continuously since the birth of ...
CLASS1: Introduction - Xavier Institute of Management
CLASS1: Introduction - Xavier Institute of Management

... relationships yield inferences. In domains where causal relationships are explicit, PROLOG provides a suitable programming environment. PROLOG allows programmers to build programs be descriptions of objects, facts, and rules of relationship. Rules of formal logic provide an inference engine which yi ...
Instructional Applications of Artificial Intelligence
Instructional Applications of Artificial Intelligence

... upper left hand corner, the givens across the bottom, and the goal at top center. Using a mouse, the student selects a set of statements, and the system prompts the student to enter a rule of geometric inference that takes these statements as premises. Next, the system prompts the student to type in ...
WYDZIAŁ
WYDZIAŁ

... Learning algorithms for OCR (perceptrons, Hopfield networks). Adaptive linear networks. Efficiency of learning methods. Speech recognition. Cancer diagnosis using SVM. Laboratory: Fuzzy expert systems as real-time controllers (navigation system for mobile robots). Medical diagnostic systems. Learnin ...
Chapter 7 User Interface and Decision Visualization Applications
Chapter 7 User Interface and Decision Visualization Applications

... – Ability to Work with Incomplete or Uncertain Information – Provide Training – Enhancement of Problem Solving and Decision Making – Improved Decision Making Processes – Improved Decision Quality – Ability to Solve Complex Problems – Knowledge Transfer to Remote Locations – Enhancement of Other CBIS ...
Decision support and Intelligent systems
Decision support and Intelligent systems

... • Artificial Intelligence (AI) is a subfield of computer science concerned with: – studying the thought processes of humans; – recreating those processes via machines, such as computers and robots. • Behavior by a machine that, if performed by a human being, would be considered intelligent. • Turing ...
Decision making with support of artificial intelligence
Decision making with support of artificial intelligence

... to apply logical programming tools, frequently used for creating the applications in the area of artificial intelligence. One of these tools is the programming language PROLOG. This language has a built-in deriving mechanism that enables to simplify solutions of logical tasks by defining sub-rules ( ...
The History of Artificial Intelligence
The History of Artificial Intelligence

... successful projects being released every year. The biggest commercial success has been expert systems which can hand advise a nurse dealing with something she hasn’t learned about of what to do based on information about 1000’s of rare diseases or tell a advise a company what to expect when somethin ...
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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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