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April 2005 - Interactive Intelligence Group
April 2005 - Interactive Intelligence Group

... to get the representations of the other circles (Figure 9): ...
A Rule-Based Expert System for Mineral Identification
A Rule-Based Expert System for Mineral Identification

... core-only models, an interesting possibility is to look at models that allows for an independent identification procedure, which is one that may contain different information from the core. It allows for another degree of freedom in developing concept models, since the representation of core and ide ...
Artificial Intelligence 2.2 Heuristic (Informed) Search
Artificial Intelligence 2.2 Heuristic (Informed) Search

...  Informed search depends on good heuristics  Heuristic = method to help solve a problem, commonly informal – "rules of thumb", educated guesses, intuitive judgments or simply common sense ...
MS Word Format - Artificial Intelligence Applications Institute
MS Word Format - Artificial Intelligence Applications Institute

... used to describe processes and process products within I-X systems and agents. The forerunner of (Tate, 1996), when first designed, was intended to act as a bridge to improve dialogue between a number of communities working on formal planning theories, practical planning systems ...
Tabu Search
Tabu Search

... local optima (where all the neighbouring solutions are nonimproving) by guiding a steepest descent local search (or steepest ascent hill climbing) algorithm ...
study of difference between forward and backward reasoning
study of difference between forward and backward reasoning

... resulting in the addition of new information to its dataset. In other words, it starts with some facts and applies rules to find all possible conclusions. Therefore, it is also known as Data Driven Approach [1]. ...
Advances in conversational case-based reasoning
Advances in conversational case-based reasoning

... Kquestion, answerL pairs. A case’s problem description is typically represented in a similar way, although other approaches have been investigated. In taxonomic CCBR, for example, relevant domain features (e.g., test results) are arranged in feature taxonomies in which levels of abstraction are expl ...
MANAGING KNOWLEDGE
MANAGING KNOWLEDGE

... employees within and outside firm who have similar work-related activities and interests • Activities include education, online newsletters, sharing experiences and techniques • Facilitate reuse of knowledge, discussion • Reduce learning curves of new employees ...
OpenProblems-2011-02-04
OpenProblems-2011-02-04

... and the Cooperative Computational Universe (Adriaans). From that part we can gain the insight in various facets of the concept, providing supporting evidence that nowadays concepts of information present a complex body of knowledge that accommodates different views of information through fields of n ...
Mechanisms of Maximum Information Preservation in the Drosophila
Mechanisms of Maximum Information Preservation in the Drosophila

... amplifies weak ORN inputs greatly, but does not amplify strong ones as much. As PNs use their dynamic range more efficiently than ORNs, this transformation is thought to assist the decoder in discriminating between different odors. However, it is also expected that the neural variability of PN respo ...
Artificial Intelligence and Large-Scope Science
Artificial Intelligence and Large-Scope Science

... Many different interdependencies may occur among components May reach many dead ends ...
Introduction to Artificial Intelligence and Search problems
Introduction to Artificial Intelligence and Search problems

... Best First Search Algorithms • Principle: Expand node n with the best evaluation function value f(n). • Implement via a priority queue • Algorithms differ with definition of f : – Greedy Search: f ( n) = h( n) – A*: f ( n) = g ( n) + h( n) – IDA*: iterative deepening version of A* ...
Expert Systems
Expert Systems

... After a conclusion has been presented: HOW (did you reach that conclusion)? ...
What Is an Intelligent Agent?
What Is an Intelligent Agent?

... derives from the present participle of the Latin verb agere: to drive, lead, act, or do.” 1 “The concept of an agent can be traced back to the early days of research into Distributed Artificial Intelligence in the 1970s - indeed, to Carl Hewitt concurrent Actor model (Hewitt, 1977). In this model, H ...
Information, Ethics, and Computers: The Problem of Autonomous
Information, Ethics, and Computers: The Problem of Autonomous

... This definition of information as data with meaning has the advantage of being understandable and easy to remember. However, as some of the quoted authors note, it is also simplistic. It assumes the givenness of data which is problematic. Every real situation consists of a virtual infinity of aspect ...
OBJECTIVES
OBJECTIVES

... – Stores information in active form – Creates mechanism not subjected to human feelings – Eliminates routine and unsatisfying jobs – Enhances organization’s knowledge base – Generates solution to specific problems MIS ...
User-centric query refinement and processing using granularity
User-centric query refinement and processing using granularity

... By adding logic, we get back a correct answer” [7]. For the second challenge, refining the reasoning process by search is proposed [15]. The idea starts from the unification of search and reasoning, which emphasizes on making an intelligent search of subdataset and do reasoning based on the selected ...
Management Information Systems 11e
Management Information Systems 11e

... As people started using newer forms of communications such as emails, chat rooms, voice mail, and digitalbased reports, graphics, and presentations, organizations had to adapt their systems to accommodate the semistructured knowledge. Enterprise content management systems are designed to piggyback ...
BENCHMARKING THE TRANSITION TO AGILE MANUFACTURING: A KNOWLEDGE-BASED SYSTEMS APPROACH
BENCHMARKING THE TRANSITION TO AGILE MANUFACTURING: A KNOWLEDGE-BASED SYSTEMS APPROACH

... 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 partitions of data can be used as a central component of efficient decision making. For example, in ...
Decision Support System
Decision Support System

... • Involves finding and tracking information • Usually work in the background, so you can still use your computer for other tasks • Future intelligent agents will most likely be ...
Heuristic Search Comes of Age
Heuristic Search Comes of Age

... been an exponentially growing search tree with the task of finding an optimal path between the start state and a fixed goal state. This describes puzzles like Rubik’s cube or the sliding-tile puzzle. A different model of a search problem is found in the video game industry. In this industry search i ...
Chapter 11 - Barbara Hecker
Chapter 11 - Barbara Hecker

... • Identification of underlying patterns, categories, and behaviors in large data sets, using techniques such as neural networks and data mining Artificial Intelligence (AI) technology: • Computer-based systems based on human behavior, with the ability to learn languages, accomplish physical tasks, u ...
SetA*: An Efficient BDD-Based Heuristic Search Algorithm
SetA*: An Efficient BDD-Based Heuristic Search Algorithm

... NM Set A* behaves like A*. For it performs best-first search, and it carries out a regular breadth-first search. The for fact that can take any value in the range is important in practice, since it can be used to increase an underestimating heuristic or decrease an overestimating heuristic. We end t ...
project summary - Internet Mapping Services for San Diego Wildfire
project summary - Internet Mapping Services for San Diego Wildfire

... mapping tasks, including map layers, label names, and geometry features. The user interface provides communication channels between computers and users. Figure 3 (left) illustrated the four basic components of a traditional expert system. More recently, cartographers are exploring other types of A.I ...
Spoken dialogue technology achievements and challenges`` ( file)
Spoken dialogue technology achievements and challenges`` ( file)

... word accuracy does not have to be 100% use of confidence scores in combination with other information to determine DM actions use of additional information (ASR and parse probabilities, semantic and contextual features) to re-score recognition hypotheses ...
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Collaborative information seeking

Collaborative information seeking (CIS) is a field of research that involves studying situations, motivations, and methods for people working in collaborative groups for information seeking projects, as well as building systems for supporting such activities. Such projects often involve information searching or information retrieval (IR), information gathering, and information sharing. Beyond that, CIS can extend to collaborative information synthesis and collaborative sense-making.
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