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Artificial Intelligence and Large-Scope Science
Artificial Intelligence and Large-Scope Science

... execution of workflows Active workflows: represent evolving workflows and are continually authored, refined, executed, and modified ...
V. Case Study: The “Call for Papers” Agent
V. Case Study: The “Call for Papers” Agent

... They are semi-structured or structured and share several common features such as patterns of page linkage, terminology and page style. For our architecture, a set of these pages is a class (e.g., call for papers, researchers, etc), and the existence of these classes outlines a Web division by conten ...
Hierarchical Knowledge for Heuristic Problem Solving — A Case
Hierarchical Knowledge for Heuristic Problem Solving — A Case

... observations of human behavior. Tenbrink and Seifert (2011) asked participants to plan a holiday trip and analyzed verbal reports from this task. They found that humans combined spatial knowledge with knowledge about travel modalities, for example the physical effort when riding a bike. This behavio ...
A New Uncertainty Calculus For Rule
A New Uncertainty Calculus For Rule

... two tests are dependent simply because they are performed on the same person. Only in the case where the physician knew the patient did not have disease 1, would the two tests be independent. Second, it means that two hypotheses are independent given certain knowledge of their causes. Suppose the ph ...
From Agent Theory to Agent Construction: A Case Study
From Agent Theory to Agent Construction: A Case Study

... and practice in two ways. First, he provided an abstract agent architecture that serves as an idealization of an implemented system and as a means for investigating theoretical properties [27]. A second effort developed an alternative formalization by starting with an implemented system and then for ...
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as a PDF

... Animat/Artificial Life approach is to thoroughly explore the space of opportunities offered by the most simple designs by virtue of their situatedness and physical embodiment, before moving up towards the incorporation of more “complex” components, such as declarative representations and related man ...
2012 version HERE . - School of Computer Science
2012 version HERE . - School of Computer Science

... young learners for the rest of the 21st century. ...
Understanding Computers, Chapter 12
Understanding Computers, Chapter 12

... geared toward meeting short-term objectives • Nonmanagement workers: On-the-job decisions • External users: Customers, suppliers, other partners Chapter 12 ...
ppt - CSE, IIT Bombay
ppt - CSE, IIT Bombay

... would call it-of having perceptual experience. To address this problem an alternative account of the notion of internal representations-'derivations'and a 'derivational framework' of mind are offered. I translate this approach into the framework of artificial intelligence to see the possibility of a ...
From Agent Theory to Agent Construction: A Case Study
From Agent Theory to Agent Construction: A Case Study

... and practice in two ways. First, he provided an abstract agent architecture that serves as an idealization of an implemented system and as a means for investigating theoretical properties [27]. A second effort developed an alternative formalization by starting with an implemented system and then for ...
From Agent Theory to Agent Construction: A Case Study
From Agent Theory to Agent Construction: A Case Study

Background - SRI Artificial Intelligence Center
Background - SRI Artificial Intelligence Center

... results in the mobile text entry field see Chapter 6 in [4]). To prevent solutions in search of problems, it is vital that researchers conduct experiments and field work to understand all the factors that affect actual text entry performance in practice. In the end, if intelligent mobile text entry ...
Idealizations of Uncertainty, and Lessons from Artificial Intelligence
Idealizations of Uncertainty, and Lessons from Artificial Intelligence

... statistics, control theory, neuroscience, and other fields. The establishment of shared theoretical frameworks, combined with the availability of data and processing power, has yielded remarkable successes in various component tasks such as speech recognition, image classification, autonomous vehicl ...
JT-NM Reference Architecture
JT-NM Reference Architecture

... 2. Systems Architecture – presenting a layered view of how and where the capabilities being delivered by the Reference Architecture fit into a larger architecture of an organization. Two levels of depth are presented in this document. A high level Layered view, and a more detailed Capabilities view ...
Foundations of Artificial Intelligence
Foundations of Artificial Intelligence

... Human: What is your favorite topic? God: My favorite subject is artificial intelligence. Human: What is artificial Intelligence? God: Artificial intelligence is the branch of engineering and science devoted to constructing machines that think. That’s not something I get asked all the time. Human: Ca ...
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important questions in part-a and answers...

... 1. Review what is meant by decision-making versus problem-solving. Compare the two, and determine whether or not it makes sense to distinguish between them.. It is a matter of definition. Some people consider decision-making as a step in problem-solving, others use the terms interchangeably. Some pe ...
Click Here For
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... – State – Space search and control strategies: Introduction, general problem solving, characteristics of problem, exhaustive searches, Heuristic search techniques, iterative-deepening A*, Constraint Satisfaction and Planning. Game Playing, Bounded Look-ahead strategy and use of Evaluation functions, ...
IFAC99 - University of Toronto
IFAC99 - University of Toronto

... • It is well-recognized that many types of modelling are required to deal with the various aspects of enterprise, e.g., – activity modelling – function modelling – resource modelling – information modelling – organization modelling • e.g., CIMOSA, GERAM,... ...
A Foundational Architecture for Artificial General Intelligence
A Foundational Architecture for Artificial General Intelligence

... Following the cognitive cycle displayed in Figure 6 above, we can usefully think of each step as a filtering process. An agent’s sensory receptors filter all of the possible sensory data available in the environment, letting through only that to which the agent’s sensors respond. Perception, as desc ...
Conceptual grouping in word co-occurrence networks
Conceptual grouping in word co-occurrence networks

Registration Brochure - Association for the Advancement of Artificial
Registration Brochure - Association for the Advancement of Artificial

... prominently in a number of accounts of perceptual and cognitive development, and in some cases, such as that of Jean Piaget’s constructivism, it is the driver of cognitive development. In this symposium we bring together researchers from a diverse set of fields (such as artificial intelligence, mach ...
Computational Creativity, Concept Invention, and General
Computational Creativity, Concept Invention, and General

... importance of each concept within the latter three categories. In figure 1, concerning the breakdown of the category PEOPLE, we see that Cognition is hugely important. This suggests that thinking plays a significant role in digesting an artwork; thus lending weight to our argument that framing infor ...
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. ...
Fuzzy Expert Control Systems: Knowledge Base Validation
Fuzzy Expert Control Systems: Knowledge Base Validation

... fuzzy systems in control is enlarged. By them, the advantages of the knowledge-based system, when the integral control of the plant is the ultimate goal, are exploited, but trying to keep under control the time constraints. The complexity of the problem requires the concourse of the expert. His/her ...
Reasoning in Architecture
Reasoning in Architecture

... 2. Jeff Hawkins (1957) is a computer architect turned neurologist. He is interested in making truly intelligent machines, but believes one can only do so when we understand how the brain produces intelligence. He states that in the cognitive sciences intelligence is judged by the wrong parameter: be ...
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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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