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Hubert Dreyfus - Human versus Machine
Hubert Dreyfus - Human versus Machine

... are more like photographs and images in that they are iconic, carrying information by a physical resemblence with that to which they refer the way a portrait conveys information about its subject by virtue of its likeness. But classical AI takes as its starting point the assumption that the internal ...
Structured development of problem solving methods
Structured development of problem solving methods

... in reasoning. Vice versa, a problem-solving method and its specific variants cannot be constructed independently of assumptions about the available domain knowledge. In other words, developing a reusable problem-solving method requires the explicit representation of the assumptions the method introd ...
KBS88.pdf
KBS88.pdf

... tools for program development, we would claim that they are less useful as tools for building expert systems. Their main problem is that they provide the knowledge engineer with a bewildering array of possibilities, and little, if any, guidance as to the circumstances in which any of these possibili ...
cognitive systems
cognitive systems

... developing a decision support system capable of generating recommendations to a user, thus assisting him in decision making. It is important for such a system to model user's preferences accurately, find hidden preferences and avoid redundancy. This problem is sometimes studied as a computational le ...
Chapter 1: Introduction to Expert Systems
Chapter 1: Introduction to Expert Systems

Mapping Between Agent Architectures and Brain Organization
Mapping Between Agent Architectures and Brain Organization

... timeliness and synchrony: the order and duration of their expressed behaviors matter. We begin this chapter with a discussion of modularity as found in nature, then review the literature on CAA in this light. Next, we demonstrate the relevance of CAA to neuroscience by describing a mapping between t ...
Intelligent System for Information Security Management: Architecture
Intelligent System for Information Security Management: Architecture

... automated password attacks, spoofing, denial of service attacks, and malware • Non-technical such as natural disasters, physical infrastructure attacks, human error, and social engineering. If organizations would have used an automated tool to analyze the network behavior, the damages caused by Slam ...
information society technologies
information society technologies

... table) rather than being able to identify objects or events as instances of a metalevel concept of car (or road-vehicle) or table (or object-supporting platform). Cognitive vision systems would ideally have this categorisaton capability. It is, however, a difficult issue because objects of the same ...
Agent definitions - Computer Science
Agent definitions - Computer Science

... • The complexity of such a system or the fact that we can not know or predict the internal structure of all components seems to imply that we must rely on animistic, intentional explanation of system functioning and behaviour. • We thus come again to the idea presented in the beginning: try to appl ...
Compositional Design of a Generic Design Agent
Compositional Design of a Generic Design Agent

... Design is a task often performed by one or more specialised (human) agents. Architects are, for example, specialised agents: their area of expertise is the design of buildings in given surroundings. Design agents negotiate with other agents on requirements and generate one or more designs (design ob ...
Chapter 1: Introduction to Expert Systems
Chapter 1: Introduction to Expert Systems

International Journal of Multidisciplinary Approach and Studies
International Journal of Multidisciplinary Approach and Studies

... form of offline or online Computer application. These computer-based applications have been improved the efficiency and accuracy in medical services. The different research areas of Computer Science have been working on these systems like Artificial Intelligence, Image Processing etc. The informatio ...
Creating New Pathways to Justice Using Simple Artificial
Creating New Pathways to Justice Using Simple Artificial

... debt. She searches for help on public legal information websites, but immediately faces ‘information overload.’ She does not understand the situation well enough to know which of the countless guidebooks apply to her situation. Most of the information explains complex court procedures, but she has n ...
Understanding Computers, Chapter 12
Understanding Computers, Chapter 12

... • System development may be required because of: – New laws (Sarbanes-Oxely Act, HIPAA etc.) – Changes to the legal requirements for retaining business data (e-disclosure, etc.) – Introduction of new technology • Enterprise architecture: Provides a detailed picture of an organization, its function, ...
Semantic Networks: Visualizations of Knowledge
Semantic Networks: Visualizations of Knowledge

... where the target of the mapping is some formal construct that uses mathematical, or at least, abstract ideas. The formal construct is often mant to capture the nature of the real world in some way, but it is not, in fact the real world.Typically this is done for symbolic systems such as formal logic ...
What Are Ontologies, and Why Do We Need Them?
What Are Ontologies, and Why Do We Need Them?

... are likely to be more appropriate for certain uses than others and unlikely to be sharable across widely divergent tasks. This is, by now, a truism in KBS research and is the basic insight that led to the current focus on the relationship between tasks and knowledge types. Presuppositions or require ...
Dynamically Adaptive Tutoring Systems: Bottom-Up or Top
Dynamically Adaptive Tutoring Systems: Bottom-Up or Top

... Carnegie Learning’s Intelligent Tutoring Systems (ITS), otherwise called “Cognitive Tutors” (e.g., Ritter, 2005). These ITS are based on the biologically inspired theories of Anderson (1993) along with extensions by his colleagues (Anderson, Koedinger et al, 1995; Koedinger, 2007). Development metho ...
Unit 4_Expert Systems and AI
Unit 4_Expert Systems and AI

... called Artificial Intelligence (AI). AI's scientific goal is to understand intelligence by building computer programs that exhibit intelligent behavior. It is concerned with the concepts and methods of symbolic inference, or reasoning, by a computer, and how the knowledge used to make those inferenc ...
Microsoft Word - UWE Research Repository
Microsoft Word - UWE Research Repository

... representations to efficiently capture the dynamic behavior of a complex system. Despite the success of neural networks in solving complex problems, their design procedure is ...
Computational Models of Emotion and Cognition
Computational Models of Emotion and Cognition

... a common part of everyday life leading to intuitive meanings for terms which typically vary from technical definitions. Furthermore, there is no consensus on the technical definitions themselves, leading to definition sections as seen here. For this paper, we will define six terms as follows: Affect ...
Natural Language Processing - Department of Information and
Natural Language Processing - Department of Information and

... see the importance and potential of such systems. User interfaces with natural language modalities (either input or output, spoken or typewritten) would enhance human-computer interaction by facilitating access to computers by unsophisticated computer users, users in hands-busy/eyes-busy situations ...
Building a Cultural Intelligence Decision Support System - R
Building a Cultural Intelligence Decision Support System - R

... International Journal on Advances in Intelligent Systems, vol 6 no 1 & 2, year 2013, http://www.iariajournals.org/intelligent_systems/ ...
Slide 1
Slide 1

... – The development of ready-made (or near-readymade) DSS solutions for specific market segments has been increasing ...
Topic_2B_Expert_Systems
Topic_2B_Expert_Systems

...  Implements the expert system in close cooperation with the knowledge group and the user group.  Either programs the system from scratch or makes use of existing software products like an expert system shell The user group Can be a regular user, eg, an employee of the organization  May be an irre ...
THE CHALLENGE OF INTELLIGENT SYSTEMS
THE CHALLENGE OF INTELLIGENT SYSTEMS

... Proceedings from 1987 up to 1999). A recapitulation of the evolution of the term Intelligent Control would be beyond the scope of this paper. We will present some example of definitions and milestones in its development. Fu linked a concept of intelligent control with the following features that wer ...
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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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