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The Judge and the Computer: How Best `Decision Support`?
The Judge and the Computer: How Best `Decision Support`?

... hundreds of programs which have been produced as ‘expert systems’ and which grew from the optimism created by these three programs, MYCIN, DENDRAL and PROSPECTOR. Though early, they were important in defining the mood and direction of much work in the 1980s. But, did these programs make the move fro ...
confidence - UNCC Honors College
confidence - UNCC Honors College

... trouble with the course that I took a big hit to my confidence as a programmer. I learned a lot in the class, but when I was doing more research on the languages while completing assignments, I realized how little I knew about the languages and it was the first time I really struggled to get a progr ...
INTELLIGENCE: LOGICAL OR BIOLOGICAL?
INTELLIGENCE: LOGICAL OR BIOLOGICAL?

... Oh! how I just hanker after those long lost days before gullible governments and organizations were assaulted by an unremitting onslaught from the proselytes of artificial intelligence. How I remember those sunny days when the acronym AI stood for artificial insemination. I say, I say, I say; do you ...
View PDF - Advances in Cognitive Systems
View PDF - Advances in Cognitive Systems

... are clearly important for agents that operate in physical environments, but they are not distinguishing features of intelligent systems. Rather, by intelligence we mean the capacity to engage in abstract thought that goes beyond immediate perceptions and actions. In humans, this includes the ability ...
Group knowledge is not always distributed (neither is it always implicit)
Group knowledge is not always distributed (neither is it always implicit)

... Theorem 3.3. Let X and Y range over hK1 ,K2 , . . . ,Km ,Gj. Then: £Xw ⇔ £Yw. Theorem 3.3 has, for both the reading as group knowledge as well as that of a receiving agent for G, some remarkable consequences. It implies that the knowledge in the group is nothing else than the knowledge of any partic ...
CHS-Soar - AGI conferences
CHS-Soar - AGI conferences

... Developed by Fox, Sadeh and Bayken, 1989 ...
Dr. Eick`s Introduction to AI
Dr. Eick`s Introduction to AI

... • During each iteration, the EA evaluates solutions adn generates offspring based on the fitness of each solution in the task. • Substructures, or genes, of the solutions are then modified through genetic operators such as mutation or recombination. • The idea: structures that led to good solutions ...
Essential Thinking. Introduction to Problem Solving Example
Essential Thinking. Introduction to Problem Solving Example

... Problem Solving: A List of Techniques Abstraction: solving the problem in a (simplified) model of the system Analogy: using a solution that solved an analogous problem Brainstorming: (especially among groups of people) suggesting a large number of solutions or ideas and combining and developing the ...
NNsML chap1
NNsML chap1

... commercial viability: whereas there may be only a few experts whose time is expensive and rare, you can have many expert systems expert systems can be used anywhere, anytime expert systems can explain their line of reasoning commercially beneficial: the first commercial product of AI ...
Machine Reading
Machine Reading

... some important differences. TE systems determine whether one sentence is entailed by another. This is a valuable abstraction that naturally lends itself to tasks such as paraphrasing, summarization etc. MR is more ambitious, however, in that it combines multiple TE steps to form a coherent set of be ...
File
File

... 1. Characterize the definitions of AI: "The exciting new effort to make computers think ... machines with minds, in the full and literal senses" ...
global bacteria optimization Meta-heuristic Algorithm for Jobshop
global bacteria optimization Meta-heuristic Algorithm for Jobshop

... Generally speaking, scheduling is a form of decision-making that plays a crucial role in manufacturing and service industries. It deals with the allocation of resources to tasks over given time periods and its goal is to optimize one or more objectives (Pinedo, 2008). Among the various types of sche ...
Computational Intelligence Approaches for Student/Tutor
Computational Intelligence Approaches for Student/Tutor

... fixed and exact but approximate in nature. The variables in fuzzy logic usually assume values that range in degrees between 0 and 1 [10]. It is quite obvious that in order to solve real life problems, we often find ourselves dealing with pre-positions that are partially true and partially false and ...
Word - Egodeath.com
Word - Egodeath.com

... TNT Tries to Swallow Itself ............................................................. 270 G: A String Which Talks about Itself in Code .................................. 271 G’s Existence Is What Causes TNT’s Incompleteness ..................... 271 Mumon Has the Last Word....................... ...
Personalized Information Management for Web Intelligence
Personalized Information Management for Web Intelligence

... • A platform for gathering, organizing, tracking, analyzing, and sharing intranet and internet based competitive information • New way turning raw information into ...
Chapter 10
Chapter 10

... DSS and EIS provide middle and top managers with decision support. Both DSS and EIS are intuitive, interactive, user-friendly systems. DSS and EIS are menu-driven and often have excellent color and graphic capabilities. Both systems use internal and external data to solve problems. A DSS uses intern ...
CIS 730 (Introduction to Artificial Intelligence) Lecture
CIS 730 (Introduction to Artificial Intelligence) Lecture

... Previously: Logical Agents and Calculi – Logical agent framework – Logic in general: tools for • Knowledge representation • Inference / theorem proving and problem solving / planning – Propositional calculus • Normal forms • Sequent rules (modus ponens, resolution) ...
Machines can decide legal cases (?)
Machines can decide legal cases (?)

... “This 2-word phrase means the power to take private property for public use: it's ok as long as there is just compensation” ...
introduction
introduction

... some form of intelligence OR • those characteristics which we associate with intelligence in human behavior ...
Intelligent Agent Architecture for Digital Library
Intelligent Agent Architecture for Digital Library

... extending the functionality of traditional expert systems to be able to work on distributed information systems, such as digital library, electronic commerce, etc. Artificial intelligence allows us to build system, which is smarter than it otherwise would be, and which is qualitative better than sys ...
WHAT IS ARTIFICIAL INTELLIGENCE? Cognitive simulation
WHAT IS ARTIFICIAL INTELLIGENCE? Cognitive simulation

... Questions to Ask Given the goal to implement rational action in a complex environment, as in each part. . . ...
Memory and Concepts in Reactive Learning
Memory and Concepts in Reactive Learning

... Hoyle outperforms these programs because it explicitly represents and exploits its concepts. Hoyle’s concepts organize the way it remembers experience, focus its attention on what is important to learn, force it to apply its experience, and permit it to discard experience that is judged unlikely to ...
Turning Artificial Intelligence into Business Value. Today.
Turning Artificial Intelligence into Business Value. Today.

... here is to provide consistent, low-cost performance. In these solutions, technology senses, comprehends and acts, while the role of humans is to monitor the accuracy of the solution as well as to determine how the rules need to evolve as business conditions change. Over time, machine learning capabi ...
Theoretical Foundations for Intelligent Tutoring Systems
Theoretical Foundations for Intelligent Tutoring Systems

... entirely discursive and attempt no kind of formalisation of their content. The aim of this paper is to suggest that it is not premature for ITS research to begin an attempt to complement a short-term emphasis on pragmatic aspects (Kearsley, 1989) by seeking theoretical foundations for its implementa ...
CIS_Plan_EN - Faculty of Information Technology and Systems
CIS_Plan_EN - Faculty of Information Technology and Systems

... content-based retrieval; Audio signal processing; Speech analysis; Music analysis and synthesizing; Teleconferencing and video compression; Animation; Virtual reality; Web publishing; Multimedia Programming: Composition mechanisms, metaphors; Synchronization: aspects of synchronization, techniques; ...
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Knowledge representation and reasoning

Knowledge representation and reasoning (KR) is the field of artificial intelligence (AI) dedicated to representing information about the world in a form that a computer system can utilize to solve complex tasks such as diagnosing a medical condition or having a dialog in a natural language. Knowledge representation incorporates findings from psychology about how humans solve problems and represent knowledge in order to design formalisms that will make complex systems easier to design and build. Knowledge representation and reasoning also incorporates findings from logic to automate various kinds of reasoning, such as the application of rules or the relations of sets and subsets.Examples of knowledge representation formalisms include semantic nets, systems architecture, Frames, Rules, and ontologies. Examples of automated reasoning engines include inference engines, theorem provers, and classifiers.
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