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BENCHMARKING THE TRANSITION TO AGILE MANUFACTURING: A KNOWLEDGE-BASED SYSTEMS APPROACH
BENCHMARKING THE TRANSITION TO AGILE MANUFACTURING: A KNOWLEDGE-BASED SYSTEMS APPROACH

... matching [7]. SM follows, in large part, longstanding results on data abstraction in artificial intelligence. A structured matcher can be viewed as a structured knowledge base containing patterns of experience-based information for making a decision. The basic idea of structured matching is that pa ...
Philosophy and History of AI
Philosophy and History of AI

... • Karel Capek coined the term “robot” (1921) • Isaac Asimov wrote many sf books and essays (I, Robot (1950) introduced the Laws of Robotics – if you haven’t read it, you should!) ...
Artificial Intelligence Fundamentals Lecture 1
Artificial Intelligence Fundamentals Lecture 1

View PDF - CiteSeerX
View PDF - CiteSeerX

... Recently, there has been considerable interest in the application of Artificial Intelligence techniques to Workflow Management systems. The lack of maturity that the area of Workflow Management presents due to its short history can be addressed by introducing techniques from other fields. Some resea ...
C H A P T E R
C H A P T E R

... A support function that provides users with ...
JRobin - LES - PUC-Rio
JRobin - LES - PUC-Rio

... .Jar or DLL Component ...
Classification Problem Solving
Classification Problem Solving

... a great leap. A heuristic relation is based on some implicit, possibly incomplete. model of the world. This relation is often empirical, based just on experience; it corresponds most closely to the “rules of thumb” often associated with heuristic programs [14]. Heuristics of this type reduce search ...
Building Intelligent Tutoring Systems: An Overview
Building Intelligent Tutoring Systems: An Overview

... The shell-based approach is well known in artificial intelligence. Since the beginning of expert systems research, there have been many proposals for shells to facilitate their building. A shell is a software development environment containing the basic components for building expert systems. The fi ...
bio-control system
bio-control system

...  Customized color palettes; color cycling available in 8 bit mode with Quick Draw ...
Joint issue with NOVÁTICA Artificial Intelligence
Joint issue with NOVÁTICA Artificial Intelligence

... to the situation in hand. Architectures such as SOAR have precisely this structure. By means of compilation processes like explanation based learning, they convert declarative information at a deliberative decision making level into more efficient representations until the decision eventually becomes ...
When to Use Expert Systems
When to Use Expert Systems

... • Artificial intelligence systems form a broad and 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 o ...
The Symbolic vs Subsymbolic Debate
The Symbolic vs Subsymbolic Debate

... – appropriate: global regularities across patterns extracted (similar patterns treated similarly) – inappropriate: with slot coding, component representations not reused ...
application of multiagent systems in transportation
application of multiagent systems in transportation

... In particular FRAME architecture was used to map the DAI applications with the transportation functional areas. This study showed that optimization and coordination problems within FRAME functional areas could be solved using the agent-based approach. The paper presented the conception of dynamic Tr ...
Advances in Environmental Biology Systems
Advances in Environmental Biology Systems

... In today‟s manufacturing industry, due to high equipment cost and capacity limitations, different products with their own recipes are being processed on various types of tools [19]. This brings an extremely complex operation condition to the tools and makes the equipment degradation highly unpredict ...
Law - The IEEE Standards Association
Law - The IEEE Standards Association

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P80-1034

... interpretation, generation has received relatively little attention as a subject of study. One explanation is that computer systems have more control over output than input, and therefore have been able to rely on canned phrases for output. Whatever the reason for past neglect, it is clear that gene ...
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cis479

... Luger, G. Artificial Intelligence (5th Edition), 2005. References Chopin, B. Artificial Intelligence Illuminated, 2004. Winston, P. H. and Horn, B. K. P. Lisp (3rd Edition), 1989. Course Goals This course is intended to provide an overview of the problems and methods studied in the field of artifici ...
Carving Out Evolutionary Paths Towards Greater Complexity
Carving Out Evolutionary Paths Towards Greater Complexity

... The human brain has on average 100 billion neurons, and ten times as many glial cells. Not only the number of neurons, but the total number of topological permutations this number of elements presents, poses an enormous challenge to evolutionary algorithms. In a direct encoded NN, the genotype has a ...
Hypothesis Testing for Complex Agents
Hypothesis Testing for Complex Agents

The Dynamical Hypothesis in Cognitive Science: A review essay of
The Dynamical Hypothesis in Cognitive Science: A review essay of

... to cognition is presented. In terms of its explanatory value, this chapter is the high-water mark of the book, at least for non-specialists. This first chapter includes a detailed description of the inadequacies of the PSSH. Most of these criticisms can be found, in one form or another, in the early ...
A Personalized Calendar Assistant - SRI Artificial Intelligence Center
A Personalized Calendar Assistant - SRI Artificial Intelligence Center

... town next Monday his travel schedule means it will be too late to schedule a meeting. A relaxes the time constraint indicating that the meeting could occur anytime next week. Both D1 and D2 have blocked out their schedules for Thursday and Friday because a development deadline is looming on the hori ...
View PDF - CiteSeerX
View PDF - CiteSeerX

... Historically, the rst steps in DAI research were related to the DPS approach. Some results and tecniques from social psychology, social sciences and ethology were then incorporated into the domain, which has lead to the appearance of the MAS approach. The rst attempts to solve problems cooperative ...
Publication : Artificial Psychology: The Psychology of AI
Publication : Artificial Psychology: The Psychology of AI

... think, learn, reason, experience, and can function autonomously, without supervision, is one of the most intriguing goals in all of Computer Science. As the types of problems we would like machines to solve get more complex, it is becoming a necessary goal as well. One of the many problems associate ...
View PDF - Advances in Cognitive Systems
View PDF - Advances in Cognitive Systems

... This systems perspective was a recurring theme that held for many research projects. Early programs for natural language processing (e.g., Winograd, 1972) often included not only modules for syntactic analysis, but also mechanisms for semantic processing and for multi-step reasoning. Similarly, many ...
Expert System to Troubleshoot the Wireless Connection
Expert System to Troubleshoot the Wireless Connection

... difficult decision making problems, based on knowledge acquired from a human expert, i.e., an expert system is a computer program that simulates the thought process of a human expert to solve complex decision problems in a specific domain [2], [1]. Intelligent systems have been developed for a varie ...
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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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