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What is Computational Intelligence and where is it
What is Computational Intelligence and where is it

... they write: “Computational intelligence is the study of the design of intelligent agents. [...] The central scientific goal of computational intelligence is to understand the principles that make intelligent behavior possible, in natural or artificial systems”. This could make their view of CI rathe ...
Strategies and Design for Interleaving Reasoning and Selection of Axioms
Strategies and Design for Interleaving Reasoning and Selection of Axioms

... Anytime algorithms are attractive for Web scale reasoning, because they allow a trade-off between the cost of the algorithm and the quality of the results. Such anytime algorithms have been developed for many AI reasoning tasks, such as planning, diagnosis and search. However, until now no anytime m ...
Vita  - CIS Users web server
Vita - CIS Users web server

... Developed simple yet effective attacks against linear spam filters, testing filter robustness and promoting the development of more secure spam filters. June 2002 – September 2003: Research assistant for Jon Herlocker, Oregon State University. Conducted a third-party evaluation of prominent collabor ...
Digital Library of Expert System Based at Indonesia Technology
Digital Library of Expert System Based at Indonesia Technology

... Also in [13], backward chaining is matching facts or statements starting from the right (first THEN). In other words, the reasoning starts from the first hypothesis, and to test the truth of this hypothesis to look for the facts that exist in the knowledge base. In [14], an inference engine using ba ...
SIGNPOSTING: AN AI APPROACH TO SUPPORTING HUMAN
SIGNPOSTING: AN AI APPROACH TO SUPPORTING HUMAN

... the realisation that many important design processes have structures that defy conventional linear process descriptions. They involve complex interdependencies between design choices, so that designers have to estimate parameter values, backtrack, and repeat some tasks many times before all the para ...
Intelligent Counselor: An Intelligent Advisory System
Intelligent Counselor: An Intelligent Advisory System

... Advisory system is a system which helps to take decision in such a situation where more than one decisions are possible. In place of making decision, advisory system helps to guide the decision maker in decision making process. It leaves the final decision making authority up to the decision maker. ...
Introduction to AI - Dr Shahriar Bijani
Introduction to AI - Dr Shahriar Bijani

... bodies and imitated our actions as closely as possible for all practical purposes, we should still have two very certain means of recognizing that they were not real men. The first is that they could never use words, or put together signs, as we do in order to declare our thoughts to others… Secondl ...
A Fuzzy Ontology Extension of WordNet and EuroWordnet for
A Fuzzy Ontology Extension of WordNet and EuroWordnet for

... these three classes. Relations have also been instantiated to mirror WordNet associations. Note that this translation does not treat WordNet as a class hierarchy where the hyponym relationship is interpreted as a class inclusion axiom. While this is possible by adding a few axioms to the ontology, t ...
Agent-Based Software Engineering
Agent-Based Software Engineering

... with how the agent achieves its goals. The reality, as ever, does not quite live up to the ideal. Interestingly, we again find that researchers from a more mainstream computing discipline have adopted a similar set of ideas. In theoretical computer science, logics of knowledge are used to reason abo ...
A Parameterized Comparison of Fuzzy Logic, Neural Network and
A Parameterized Comparison of Fuzzy Logic, Neural Network and

... The concept of Fuzzy set theory,[5] was initially introduced by Lofti Zahed in 1965 which deals with the data that is imprecise and leads to create problem in decision-making of real world applications. Fuzzy Logic [3] is the logic which deals with the vagueness and it belongs to the family of many- ...
IT7005B-Artificial Intelligence UNIT WISE Important Questions
IT7005B-Artificial Intelligence UNIT WISE Important Questions

... 24. State the advantage of generalized modus ponen rule. 25. Covert the given sentence into propositional form. 26. Convert the given sentence into FOL form. PART B 1. Define the problem of Wumpus world environment and derive the steps to reach a goal 2. Explain Propositional Logic and examples to r ...
On Agents and Grids: Creating the Fabric for a New Generation of
On Agents and Grids: Creating the Fabric for a New Generation of

... due to changes in the underlying web site) may change over time. This requires manually tracking changes in other agent specifications, so that request message formats could be updated. The implementation of individual agents can be extended to support these questions in an ad-hoc manner. However, t ...
The challenge of complexity for cognitive systems
The challenge of complexity for cognitive systems

... through the jungle of everyday reasoning, decision making, planning and acting by providing intelligent support technology. Lessons learned from expert system research of the 1980s (Hayes-Roth, Waterman, & Lenat, 1983) are that the aim should not be to provide for fully automated systems which can s ...
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... by scanning data stored in data warehouses Both systems generally include analytical tools (BI called business analytics systems) Although some may run locally as a spreadsheet, both DSS and BI uses Web ...
Web Intelligence (WI) - Web Intelligence Consortium
Web Intelligence (WI) - Web Intelligence Consortium

... •A hard-covered edited book on Web Intelligence. ...
第七章数据挖掘应用
第七章数据挖掘应用

... Personalization is defined as “the ability to provide content and services tailored to individuals based on knowledge about their preferences and behavior” or “the use of technology and customer information to tailor electronic commerce interactions between a business and each individual customer” I ...
An Application of Transfer to American Football
An Application of Transfer to American Football

... As noted earlier, the video used in this work comes from a camera located in a fixed position at the top of the stadium. During each play, the operator pans and zooms significantly to capture all of the action on the field. This causes the precise video coordinates to become meaningless, since there ...
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... Types of programming languages Imperative languages: Describe the steps that are required to solve a given problem. The programmer must know an algorithm that tells the computer what to do. That is how to get the output from a given input. (Examples: C++, C#, Pascal, Algol, … etc.) Declarative lang ...
Representing Synonymity in Causal Logic and in
Representing Synonymity in Causal Logic and in

... causal theories consisting of any number of rules of the form (4) and one “synonymity rule,” which has an equivalence between two atoms (or, more generally, between two literals) in the head and a conjunction of literals in the body. In the corresponding logic program, the synonymity rule is represe ...
Process Complexity: Towards a Theory of Intent-oriented
Process Complexity: Towards a Theory of Intent-oriented

... This paper attempts to formulate basic building blocks of an intent-oriented process design theory. Motivated by process engineering literature, this work extends the notion of process to an interactive algorithm that executes relational order according to environmental rules and conditions to satis ...
Natural Language Processing - Department of Information and
Natural Language Processing - Department of Information and

... complete definition for NLP in the context of HCI. It then takes a historical journey through major advances and setbacks in the evolution of the field; specifically, it looks at the early machine translation years, the ALPAC report and its impact, and the field’s three major evolutionary phases. Ne ...
One-class to multi-class model update using the class
One-class to multi-class model update using the class

... AI Researcher Symposium (STAIRS). The papers from PAIS are included in this volume, while the papers from STAIRS are published in a separate volume. ECAI 2016 also featured a special topic on Artificial Intelligence for Human Values, with a dedicated track and a public event in the Peace Palace in T ...
A New Operator for ABox Revision in DL-Lite Sibei Gao Guilin Qi
A New Operator for ABox Revision in DL-Lite Sibei Gao Guilin Qi

... may evolve during their construction. Existing revision operators in DLs are mostly generalizations of belief revision operators in propositional logic. Recently, there has been some work on revising ontologies in DL-Lite family, which is a family of DLs that provides tractable reasoning services. I ...
- The Control Chain Management Network
- The Control Chain Management Network

...  Conditions and combines data in order to convey meaning to nondirect observers  The temperature is -50 °C at the North pole, on April 21th 4PM  20000 demonstrators in Teheran, which is a 17M inhabitant city Meaning relies on language ...
- University of Huddersfield Repository
- University of Huddersfield Repository

... domain models. Shah et al. (2013) explored the deployment of automated planning to assist in the development of domain models for different real-world applications. Currently, there is no published comparison research on KE tools for AI planning that automatically encode a domain model from observin ...
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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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