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Reasoned Use of Expertise in Argumentation
Reasoned Use of Expertise in Argumentation

... return to this fundamental question below. In order to approach a better understanding of the question, however, let us turn to the concept of an expert system. For as we will see, the nature of an expert reasoning process as based on plausible rules of inference that are neither deductive nor induc ...
Yuxing Chen`s Complete Thesis Booklet
Yuxing Chen`s Complete Thesis Booklet

... intelligence and casting a simple decision making ability into agents capable of self-organizing into an emergent intelligence. The projects focused on technical code. Technical code writing required to cast swarm systems and the architectural theory behind these systems. The project developed simul ...
Introduction to The Soar Papers - Autonomous Learning Laboratory
Introduction to The Soar Papers - Autonomous Learning Laboratory

... systems only because of the steady background of progress in understanding the individual components of intelligent behavior. The development of Soar owes much to this rich background. The direct precursors cover the portion of this background mostly closely tied to Soar; in particular, the backgrou ...
BSc in IS Plan for 2012
BSc in IS Plan for 2012

Autonomous Units
Autonomous Units

... What is Artificial Life? A Definition: Artificial life is a field of study devoted to understanding life by attempting to abstract the fundamental dynamical principals underlying biological phenomena, and recreating these dynamics in other physical media – such as computers – making them accessible ...
AI#Kindergarten:.A.method.for.developing.biological#like.artificial
AI#Kindergarten:.A.method.for.developing.biological#like.artificial

... invention!offers!a!method!for!providing!artificial!agents!with!knowledge!necessary!to! achieve!human!levels!of!intelligence.! ...
Organisational Intelligence and Distributed AI
Organisational Intelligence and Distributed AI

... -7b) The information processing system supports the processing of data, information and knowledge in order to produce decisions that fit with the organisational aims and objectives. The information processing system does not necessarily involve information processing technology. c) In general, deci ...
WHG301 V3.00
WHG301 V3.00

... radio communications. However, there is no guarantee that interference will not occur in a particular installation. If this equipment does cause harmful interference to radio or television reception, which can be determined by turning the equipment off and on, the user is encouraged to try to correc ...
Machine Consciousness: A Modern Approach
Machine Consciousness: A Modern Approach

... it, “Most roboticists are more than happy to leave these debates on consciousness to those with more philosophical leanings” (Arkin 1998). Either because consciousness has no practical consequences or because it is a false problem, these group of authors prefer to focus on more defined issues (visio ...
An Environment for Merging and Testing Large Ontologies
An Environment for Merging and Testing Large Ontologies

... becoming larger and more complicated in their representational and reasoning needs. Simultaneously, there appears to be a stronger emphasis on generating very large and standardized ontologies. Areas such as medicine began this task many years ago with SNOMED [Spackman, et. al., 1997] and UMLS [McCr ...
Improving the scalability of rule
Improving the scalability of rule

... and Bull, 2003; Llorà et al, 2008) define the intervals also using two variables: a lower bound and an upper bound. In this case, crossover or mutation operations may result in intervals where the variable associated to the lower bound has higher value than the variable associated to the upper boun ...
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Feature Selection Using Fuzzy Objective Functions
Feature Selection Using Fuzzy Objective Functions

... mining, classification and modeling problems usually involve a large number of candidate inputs or features. Less relevant or highly correlated features decrease, in general, the classification accuracy, and enlarge the complexity of the classifier. Feature selection is a multicriteria optimization ...
AI III CS QB - E
AI III CS QB - E

... A. For real world problems it is often hard to measure precisely the value of a particular solution. B. For real world problems it is often useful to introduce heuristic based on relatively unstructured knowledge. C.Both A & B D.None of the above Answer: Option C 15. If we can break the problem int ...
Artificial Intelligence and Expert Systems
Artificial Intelligence and Expert Systems

Human-Guided Tabu Search - Computer Science
Human-Guided Tabu Search - Computer Science

... Interactive systems that leverage the strengths of both humans and computers must distribute the work involved in the optimization task among the human and computer participants. Existing systems have implemented this division of labor in a variety of ways. In some interactive systems, the users can ...
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Vita 9/27/91 - University of Southern California
Vita 9/27/91 - University of Southern California

... for privacy preservation in data mining http://www.lac.uic.edu/workshops/dmssp04/toward_standardization.pdf As noted by Verykios et al. (IEEE TKDE Volume 16, No. 4, 2004, p. 434) “The process of uncovering hidden patterns from large databases was first indicated as a threat to database security by O ...
Sample chapter - Computer Science and Software Engineering
Sample chapter - Computer Science and Software Engineering

... Let us have a look into another dictionary. Merriam Webster distinguishes three meanings: “(1) an object or structure on land that is easy to see and recognize, (2) a building or place that was important in history, or (3) a very important event or achievement.”4 • Meaning 1 is more or less covering ...
Procedural Knowledge Representations
Procedural Knowledge Representations

Automatic Genre-Dependent Composition using Answer Set
Automatic Genre-Dependent Composition using Answer Set

... theory and genre-specific characteristics. There already exist two similar projects using ASP, one of these being Anton, capable of creating musical compositions based on the rules of counter point (Boenn et al. 2010), the other being Armin, which is based on Anton and produces musical pieces that f ...
Symmetry Reduction for SAT Representations of Transition Systems
Symmetry Reduction for SAT Representations of Transition Systems

... about such systems, big computational savings can be obtained if the presence of symmetries is recognized. In earlier work, symmetries in constraint satisfaction problems have been handled by introducing symmetry-breaking constraints. In reasoning about transition systems, notably in model-checking ...
What Is Approximate Reasoning?
What Is Approximate Reasoning?

... We assume X to contain a distinguished element ⊥ which denotes no output. This is an issue of “backward compatibility”, since classical algorithms – and also many approximate reasoning algorithms – usually do not display any output until termination. So, to include them into our framework, we define ...
Paper  - IFIS Uni Lübeck
Paper - IFIS Uni Lübeck

... via the built-in RacerPro web server/client. The language miniLisp is designed in such a way that termination of miniLisp programs is guaranteed, and miniLisp can be used to specify rather complex queries and server extensions while the reasoning server is running (see Fig. 5). The functional langua ...
Intelligent Systems
Intelligent Systems

... • Heuristic rules represent knowledge in abstract form and lack even basic understanding of the domain area. It makes the task of identifying incorrect, incomplete or inconsistent knowledge difficult. • Expert systems, especially the first generation, have little or no ability to learn from their ex ...
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Ecological interface design

Ecological interface design (EID) is an approach to interface design that was introduced specifically for complex sociotechnical, real-time, and dynamic systems. It has been applied in a variety of domains including process control (e.g. nuclear power plants, petrochemical plants), aviation, and medicine.EID differs from some interface design methodologies like User-Centered Design (UCD) in that the focus of the analysis is on the work domain or environment, rather than on the end user or a specific task. The goal of EID is to make constraints and complex relationships in the work environment perceptually evident (e.g. visible, audible) to the user. This allows more of users' cognitive resources to be devoted to higher cognitive processes such as problem solving and decision making. EID is based on two key concepts from cognitive engineering research: the Abstraction Hierarchy (AH) and the Skills, Rules, Knowledge (SRK) framework.By reducing mental workload and supporting knowledge-based reasoning, EID aims to improve user performance and overall system reliability for both anticipated and unanticipated events in a complex system.
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