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Alan Turing “Founder of computer science” Prof. Jonathan P. Bowen www.jpbowen.com
Alan Turing “Founder of computer science” Prof. Jonathan P. Bowen www.jpbowen.com

... (1897–1984), mathematician and codebreaker • Newman’s 1935 lectures on the foundations of mathematics inspired Turing • Later at Bletchley Park / Manchester • One of Turing’s few co-authors Newman, M. H. A. (1955). “Alan Mathison Turing. 1912–1954”. Biographical Memoirs of Fellows of the Royal Socie ...
Survey of Applications Integrating Constraint Satisfaction and Case
Survey of Applications Integrating Constraint Satisfaction and Case

... The CSP has a solution if there is an assignment of values to variables such that all the constraints are satisfied. A solution in CSP can mean different things depending on the context and the goal to be achieved. The goal can be to find any solution, an optimal solution, a solution with specific c ...
A Review of Case-Based Reasoning in Cognition
A Review of Case-Based Reasoning in Cognition

... findings about internal representation pertinent to actuator-level planning. This paper has a special focus on how CBR is applied at the lower levels of cognition-action continuum, and through a review of the current state of the art, argues that CBR is a generic mechanism that can be used in the en ...
The F -O System: A Heuristic Search Case-Based Planning AR
The F -O System: A Heuristic Search Case-Based Planning AR

... the solution of a new problem. Usually, a similar case is retrieved by a retrieval phase, which uses a similarity rule to rank cases from the most to the least similar one. After the choice of the most similar case, a CBP system starts the adaptation process. In most of CBP systems, the adaptation p ...
Advances in conversational case-based reasoning
Advances in conversational case-based reasoning

... example, eGain purchased Inference and now markets the eGain Guided Help product, while CaseBank Technologies applies CCBR to the diagnosis of jet engines and other complex equipment, processes, and systems (Gupta, 1998). Much of the research discussed in this commentary focuses on CCBR as an approa ...
A Case-Based Reasoning View of Automated Collaborative Filtering
A Case-Based Reasoning View of Automated Collaborative Filtering

... In dialog based CBR there is recognition that a complete problem specification may not be available, and that the order in which the descriptors make themselves available may be important. An example of dialog – based CBR would be the CBRNET system (Doyle & Cunningham, 2000) where the online user is ...
Health Monitoring for Elderly: An Application Using Case
Health Monitoring for Elderly: An Application Using Case

... oxygen saturation from a set of individuals. Using case-based reasoning (CBR) as the backbone to the framework, records are analyzed and categorized according to their similarity. Record collection has been performed using a personalized health profiling approach in which participants wore a pulse o ...
comparative study of case based reasoning software
comparative study of case based reasoning software

... hand. Therefore, it helps improve outcomes and saving valuable resources. However, large volumes of information can make it a complex task to gain useful insight from historic datasets. CBR is an effective tool to gain useful information in such circumstances and is one of the most successfully appl ...
cached
cached

... implicitly been answered. This can decrease the number of questions that the user needs to answer prior to case (i.e., solution) retrieval. For example, Figure 3 displays a Taxonomic CCBR representation for the case shown in Figure 1. It highlights the elimination of CCBR’s description component (be ...
Case-Based Reasoning Using a Competence and Sparse Based
Case-Based Reasoning Using a Competence and Sparse Based

... Each case describes one particular situation and all cases are independent from each other. In the process of case adapting, the CBR system usually learns by storing the new case in the CB after solving a new problem. Generally speaking, if all new cases are retained, problem-solving speed will be i ...
Case-Based Reasoning System for Diagnosis of
Case-Based Reasoning System for Diagnosis of

... abnormality conceptually Retrieve phase (search cases) by using CBR system for diagnosis of neuropsychiatric abnormality cases using the nearest neighbor technique. Nearest neighbor is a technique for search that supplies a measure of similarity of new case cases with original case. In the nearest n ...
Document
Document

... Sometimes actual value cannot be predicted as weighted mean of individual predictions of classifiers from the ensemble;  It means that the actual value is outside the area of predictions;  It happens if classifiers are effected by the same type of a context with different power;  It results to a ...
Distributed case-based reasoning
Distributed case-based reasoning

... of potentially relevant cases have been narrowed down using incremental case retrieval techniques (López de Mántaras et al., 2005). In addition they introduce CBML (Case Based Markup Language) as a protocol for enabling distributed CBR over any network. This XML format for case representation enab ...
Competence and Performance-Improving approach for maintaining
Competence and Performance-Improving approach for maintaining

... densities equals to the best density of the group, which in their turns have the best coverage, are kept and the rest of cases is removed. Therefore, we obtain a new small CB with high competence. The basic process of our proposed CMCD maintaining method is in the following steps: 1. Clustering case ...
Competence Driven Case-Base Mining
Competence Driven Case-Base Mining

... definition of pivotal cases, both dark circle and star are pivotal cases. If they were retained by the case-deletion policy, many future problems will be classified wrongly, because these two cases are also noise ones. In the next section, we show how to remove these noise cases from consideration. ...
Chapter 2
Chapter 2

... of information technology and the demands already placed on various in-house programming staffs that the best way is to purchase an available software package for use on the help desk. Halverson, Erickson, and Ackerman (2004) examine the concept used at a large corporation which employed the concep ...


... remains the least understood part of case-based reasoning. The difficulty of endowingcase-based reasoning systems with automatic case adaptation is so acute that case adaptation is often omitted from case-based reasoning applications. In this talk I will first sketch current approaches to case adapt ...
Formal Definition of a
Formal Definition of a

from the lecture on IJCAI 99 in powerpoint format
from the lecture on IJCAI 99 in powerpoint format

...  need not have thousands of canned phrases  need not be world standard  should illustrate understanding of how to write programs to play the imitation game ...
Case Base Reasoning(CBR)
Case Base Reasoning(CBR)

... The CBR engine first searches for case history that are similar to the given description. The main intention is to reuse previous experiences for actual problems. ...
EM5_09[1] - Graduate Institute of International and Development
EM5_09[1] - Graduate Institute of International and Development

... • Interpretation/explanation of an event by applying a known theory • Could lead to improvement of theory • Risk: underplaying evidence inconsistent with the argument, eclectic approach (which factors are more important) • Remedy: Engage sincerely in alternative explanations, add counterfactual argu ...
1

Neuromancer

Neuromancer is a 1984 novel by William Gibson, a seminal work in the cyberpunk genre and the first winner of the science-fiction ""triple crown"" — the Nebula Award, the Philip K. Dick Award, and the Hugo Award. It was Gibson's debut novel and the beginning of the Sprawl trilogy. The novel tells the story of a washed-up computer hacker hired by a mysterious employer to pull off the ultimate hack.
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