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511 - Data, Information, Knowledge and Processing
511 - Data, Information, Knowledge and Processing

... • this knowledge is used as the basis for making decisions An expert system is: ...
Management Information Systems
Management Information Systems

... diverse set of systems that can replicate human decision making for certain types of well-defined problems – Define the term artificial intelligence and state the objective of developing artificial intelligence systems – List the characteristics of intelligent behavior and compare the performance of ...
Lecture Notes in Computer Science - AIAI
Lecture Notes in Computer Science - AIAI

... between different problem-solving components must be designed into systems from the start. It cannot be patched on” [6]. Thus, the idea of our approach is to develop the collaborative framework together with the planning mechanism in a unified way, using a constraint-based ontology for that. The pro ...
Artificial intelligence (AI) specialist
Artificial intelligence (AI) specialist

... Graduate AI Specialist Our company is creating a fully functioning world that runs constantly on a server populated by artificially intelligent computer generated characters and real players. The project is a highly detailed simulation with full AI for the NPCS with each having their own motivation, ...
Cognitive Approach to Creativity Cognitive View of Creativity
Cognitive Approach to Creativity Cognitive View of Creativity

... Turing Test • Operational definition of intelligence – Ability to achieve human – level performance on cognitive tasks ...
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Expert Systems and Artificial Intelligence

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Methodology (Cont.)

... Individuals in their daily life may suffer from negative or stressful life events. ...
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... • the work extends Constraint Reasoning with ODEs • it may support decision in applications where one is interested in finding the range of parameters for which some constraints on the ODE solutions are met • it is an expressive and declarative constraint approach • it relies on safe methods that do ...
Chapter 8 Constructing a Decision Support System and DSS
Chapter 8 Constructing a Decision Support System and DSS

... – Recently being developed based on the Web. – System to support the decision-making process of an existing or potential customers. – Developed to attract customers by providing information and tools to assist their decision making as they select products and services. ...
1994 Consciousness
1994 Consciousness

... According to position [a], consciousness exerts no role at all in the control of our behavior, which is assured by nonconscious machinery. In spite of its widespread diffusion in cognitive science, this position is quite unreasonable, at least because of evolutionary concerns. Human beings have a fi ...
A Modern, Agent-Oriented Approach to Introductory Artificial
A Modern, Agent-Oriented Approach to Introductory Artificial

... see how well a technique works, we implement an agent that uses it, run the agent in the environment, and see what its average performance score is. Weexplain the role of learning as extending the reach of the designer into unknownenvironments, and showhow it constrains agent design, favoring explic ...
The conceptualization of time in computing
The conceptualization of time in computing

Modeling Human-Level Intelligence by Integrated - CEUR
Modeling Human-Level Intelligence by Integrated - CEUR

... can be performed, there are non-trivial challenges for such a logical approach: • Problem of expressive strength: For many applications first-order logic is simply too expressive. Examples are terminological hierarchies for ontological knowledge [43] or representations of STRIPS-like plans [11]. For ...
Artificial Intelligence in the Oilfield: A Schlumberger Perspective
Artificial Intelligence in the Oilfield: A Schlumberger Perspective

... techniques. For example, Rules and objects (or "frames" as they were then called) were argued for in part because they let the domain specialist get a little closer to the encoded knowledge than did Lisp or C code, thus reducing (slightly) the knowledge acquisition bottleneck. ...
A CYBERNETIC VIEW OF ARTIFICIAL INTELLIGENCE José Mira
A CYBERNETIC VIEW OF ARTIFICIAL INTELLIGENCE José Mira

... towards the embodiment of these tasks in a specific system (a robot) that has to interact with a real physical environment. The tasks considered by the symbolic approach to KE are high-level tasks, corresponding to that which we call cognitive processes and can be classified into three broad groups, o ...
Artificial intelligence in engineering
Artificial intelligence in engineering

... execution functions implemented as separate but interconnected subsystems. However, from the engineering point of view centralised architecture is not feasible. For example, the complexity of a centralised perception subsystem for an intelligent factory would be difficult to imagine. Even for an sin ...
Cognitive Primitives for Automated Learning
Cognitive Primitives for Automated Learning

View PDF - CiteSeerX
View PDF - CiteSeerX

... Blocks World, but where the world was populated by several simulated beings, and thus emphasizing social problems in addition to physical ones. These beings would manipulate simple objects like blocks, balls, and cylinders, and would participate in the kinds of scenarios depicted in figure 3, which ...
cody8
cody8

... 16.Summarise and publish any methodological conclusions gained from the experience of relating different models. An important aspect of this project is the parallel trials of the models in both computer simulations and with socially situated robots. It has often been found that in the transference f ...
Is Distributed Connectionism Compatible with the Physical Symbol
Is Distributed Connectionism Compatible with the Physical Symbol

... connectionist implementation of a production system. Production memory consists of sets of units, each dedicated to a particular production. The units in each set are wired to units which are active in the representation of working memory elements that are matched, added, or deleted by the productio ...
Artificial Intelligence - Information Technology Services
Artificial Intelligence - Information Technology Services

... Once the knowledge engineer has converted the domain expertise into rules, the knowledge base is used to store the rules of the expert system (p. 194). ...
Artificial Intelligence - Information Technology Services
Artificial Intelligence - Information Technology Services

... Once the knowledge engineer has converted the domain expertise into rules, the knowledge base is used to store the rules of the expert system. ...
The History of Artificial Intelligence
The History of Artificial Intelligence

... amok, and tried to wipe out the human race. However, as is usually the case with words, the truth of the matter is a little more convoluted. In the days when Czechoslovakia was a feudal society, "robota" referred to the two or three days of the week that peasants were obliged to leave their own fiel ...
Optimizing Building`s Environments Performance Using Intelligent
Optimizing Building`s Environments Performance Using Intelligent

... sense, the ability inherent to intelligent systems that are capable of learning from their own environment plays a very important role in the achievement of these building performance optimization goals. Furthermore, results obtained as a consequence of the proposed system implementation are very en ...
15. MANAGING KNOWLEDGE
15. MANAGING KNOWLEDGE

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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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