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OBJECTIVES
OBJECTIVES

... Knowledge Management • Tacit Knowledge – Expertise and experience not formally documented • Best Practices – Successful solutions or problem-solving methods developed by specific organization or industry • Organizational Memory – Stored learning from organization’s history – Used for decision making ...
EXPERT SYSTEM - Human Resource Management Academic
EXPERT SYSTEM - Human Resource Management Academic

... Proceedings of the 1st International Technology, Education and Environment Conference (c) African Society for Scientific Research (ASSR) ...
Mapping and Inference in Analogical Problem Solving – As Much
Mapping and Inference in Analogical Problem Solving – As Much

Semantics and cognitive research, by Francois Rastier.
Semantics and cognitive research, by Francois Rastier.

... has been institutionalized to a considerable extent in research and in teaching programs as well. Indeed a good number of researchers, in order to obtain funding, have found themselves obliged to claim some allegiance to its dominant themes and orientations. Despite this rapid progress our initial g ...
Chapter 11 Specialized Business Information Systems
Chapter 11 Specialized Business Information Systems

2 IX Approach - Artificial Intelligence Applications Institute
2 IX Approach - Artificial Intelligence Applications Institute

... the “I-X Leaders Event and Execution List” – I-LEED – and support the Joint Task Force Commander (JTFC) in the Coalition HQ. The other is called the "I-X Dynamic Execution Event List" – I-DEEL – and support the Chief of Combat Operations (CCO). A third system is provided to act as a source for even ...
IP2 - IX
IP2 - IX

... the “I-X Leaders Event and Execution List” – I-LEED – and support the Joint Task Force Commander (JTFC) in the Coalition HQ. The other is called the "I-X Dynamic Execution Event List" – I-DEEL – and support the Chief of Combat Operations (CCO). A third system is provided to act as a source for even ...
For Review Only - Portsmouth Research Portal
For Review Only - Portsmouth Research Portal

... as a four-step process: 1. Retrieve: Given a target problem, retrieve cases from memory that are relevant to solving it. A case consists of a problem, its solution, and, typically, annotations about how the solution was derived. 2. Reuse: Map the solution from the previous case to the target problem ...
George Kalfopoulos - Department of Mathematics
George Kalfopoulos - Department of Mathematics

From Neuro-Psychoanalysis to Cognitive and Affective Automation Systems
From Neuro-Psychoanalysis to Cognitive and Affective Automation Systems

Heuristic Planning for Hybrid Systems
Heuristic Planning for Hybrid Systems

... TILs and TIFs can be used as a guidance for choosing the initial time discretisation. Actions and Durative-Actions Actions are instantaneous, while durative-actions are handled following the start-process-stop model introduced by Fox and Long (2006). A durative-action is translated into: (i) two sna ...
hierarchical knowledge-based process planning in
hierarchical knowledge-based process planning in

... provide a formal language for describing the initial and goal states as well as the possible actions that may change the states. They have a plain and single measure of plan performance (plan length) and give no means for expressing control knowledge in an explicit way. They are weak in geometric r ...
Hybrid Soft Computing Systems: Where Are We Going
Hybrid Soft Computing Systems: Where Are We Going

... independence. By using BBNs we can decrease this complexity by encoding domain knowledge as structural information: the presence or lack of conditional dependency between two variables is indicated by the presence or lack of a link connecting the nodes representing such variables in the network topo ...
CSC 550: Introduction to Planning Fall 2004
CSC 550: Introduction to Planning Fall 2004

... accomplish a goal. - A common approach to planning is representing a current state and determining the series of actions necessary to reach the goal state. (or vice versa) – Problem solving technique – Plans are created by searching through a space of possible actions until the sequence necessary to ...
artificial intelligence and plc systems
artificial intelligence and plc systems

... analysis. The use of statistical data analysis lets the system predict outcomes based on current process assessments. The outcome prediction may be a decision to continue a process in spite of a fault detection. For the example used in the other two types of AI systems, an expert system may decide t ...
Metrics and benchmarks in human-robot interaction: Recent
Metrics and benchmarks in human-robot interaction: Recent

... management (i.e., coordinating the actions of robots and human users), manipulation (i.e., physical robot interaction with the environment), and social (i.e., social interaction tasks between robots and human users). Similarly, Olsen and Goodrich (2003) offered a group of metrics for evaluating human ...
Cross-Paradigm Analysis of Autonomous Agent Architecture
Cross-Paradigm Analysis of Autonomous Agent Architecture

... Agent architectures are design methodologies. The assortment of architectures our community uses reflects our collective knowledge about what methodological devices are useful when trying to build an intelligence. We consider this perspective, derived from Maes (1991a) and Wooldridge and Jennings (1 ...
Integrated cognitive architectures: a survey | SpringerLink
Integrated cognitive architectures: a survey | SpringerLink

... producing all aspects of behaviour, while remaining constant across various domains and knowledge bases (Newell 1990; Anderson et al. 2004). This system would consist of many modules (or components) working together to produce a behaviour. These modules contain representations of knowledge, memories ...
Larry Kerschberg - Gmu - George Mason University
Larry Kerschberg - Gmu - George Mason University

Faculty of Arts Atkinson College
Faculty of Arts Atkinson College

Knowledge
Knowledge

... • “To make our computers easier to use, we must make them more sensitive to our needs. That is, make them understand what we mean when we try to tell them what we want. […] If we want our computers to understand us, we’ll need to equip them with adequate knowledge.” ...
CW32611616
CW32611616

... ontologies emphasize different aspects, but we anticipate that over time convergence between these technologies will increase. As information systems model large knowledge domains, domain ontologies will become as important in general software systems as in many areas of AI. In AI,while knowledge re ...
scheme of examination - Guru Gobind Singh Indraprastha University
scheme of examination - Guru Gobind Singh Indraprastha University

... tactical planning and management aspects, time flow mechanism of Enterprise Systems ...
Artificial Intelligence techniques: An introduction to their use for
Artificial Intelligence techniques: An introduction to their use for

... and action parts, if and then and are fed to an inference engine, which has a working memory of information about the problem, a pattern matcher and a rule applier. The pattern matcher refers to the working memory to decide which rules are relevant, then the rule applier chooses what rule to apply. ...
The Role of Knowledge Modeling Techniques in Software
The Role of Knowledge Modeling Techniques in Software

... These principles need to be combined adequately in order to formulate a knowledge based application. A reasonable approach to be followed in the design process is to start from the collection of top-level tasks that describe the set of goals to be achieved by the application to support an adequate ...
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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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