scholarly journals Knowledge representation and applied decision making (KREAM)

2010 ◽  
Vol 1 (1) ◽  
pp. 2271
Author(s):  
D. Rodríguez ◽  
J.J. Dolado ◽  
J.C. Riquelme ◽  
R. Ruiz ◽  
M.A. Sicilia
Keyword(s):  
Decision Making ◽  
Knowledge Representation

Sources of Stress-Resistant Performance in Aeronautical Decision Making: The Role of Knowledge Representation and Trait Anxiety

1995 ◽  
Vol 39 (13) ◽  
pp. 887-890 ◽  
Author(s):  
Alan F. Stokes
Keyword(s):  
Decision Making ◽  
Knowledge Representation ◽  
Trait Anxiety ◽  
Flight Simulation ◽  
Cognitive Tests ◽  
Personality Tests ◽  
Domain Specific ◽  
Significant Decrement ◽  
Simulation Task

It is not clear what elements best “protect” performance from the degrading influences of stress, or how they interact. The experiment reported here examined the effects of trait anxiety and expertise on stressed aeronautical decision making (ADM) performance in a flight simulation task. Novice and expert pilots were administered a battery of cognitive tests, personality tests, and a flight simulation task under stressed and nonstressed conditions. Both groups showed a significant decrement in performance under stress in the non-domain-specific tasks. However, this was not reflected in any performance decrement in ADM under stress by experienced pilots. Only novice pilots made poorer decisions under stress. Measures of knowledge representation were very predictive of proficient ADM under stress. In contrast, trait anxiety scores (equal for both groups) were associated with poorer ADM only in the novice group. Highly trait-anxious experts showed no performance decrements in ADM under stress.

Discovery Process in a B2B eMarketplace

2011 ◽  
pp. 80-103
Author(s):  
Fergle D’Aubeterre ◽  
Lakshmi S. Iyer ◽  
Richard Ehrhardt ◽  
Rahul Singh
Keyword(s):  
Decision Making ◽  
Knowledge Representation ◽  
Value Chain ◽  
Information Needs ◽  
Multi Criteria Decision Making ◽  
Discovery Process ◽  
Share Information

In the context of a customer-oriented value chain, companies must effectively address customers changing information needs during the process of acquiring a product or service to remain competitive. The ultimate goal of semantic matchmaking is to identify the best resources (supply) that fully meet the requirements (demand); however, such a goal is very difficult to achieve due to information distributed over disparate systems. To alleviate this problem in the context of eMarketplaces, the authors suggest an agent-enabled infomediary-based eMarketplace that enables semantic matchmaking. They extend and apply the exact, partial, and potential match algorithms developed in Di Noia et al. (2004) to show how partial and potential matches can become full matches. Specifically, the authors show how multi-criteria decision making techniques can be utilized to rank matches. They describe mechanisms for knowledge representation and exchange to allow partner organizations to seamlessly share information and knowledge to facilitate the discovery process in an eMarketplace context.

Discussion on The Construction Technology of Marine Environment Safety Knowledge Based on Knowledge Graphs

2020 ◽  
Author(s):  
Lie Sun ◽  
Le Wu ◽  
Fei Xu ◽  
ZhanLong Song
Keyword(s):  
Decision Making ◽  
Knowledge Representation ◽  
Knowledge Base ◽  
Emergency Response ◽  
Marine Environment ◽  
Semantic Knowledge ◽  
Construction Technology ◽  
Knowledge Graphs ◽  
Emergency Decision ◽  
Safety Knowledge

<p>The lack of the ability for machines to understand and judge semantic knowledge in the field of emergency response decision-making for marine environment safety is one of the difficulties in intelligent emergency response of marine disaster. Taking advantage of knowledge graphs in semantic search and intelligent recommendation is an important goal for the construction of the marine environment safety knowledge base. We summarizes the knowledge representation method based on knowledge graphs, analyzes the characteristics and difficulties of knowledge representation for emergency decision-making of marine environment safety, constructs the knowledge system of marine environment safety knowledge base, and proposes the construction idea of ​​marine environment safety knowledge base based on knowledge graphs.</p>

An approach with multi-tier automotive knowledge formalization for troubleshooting activities

2022 ◽  
pp. 095440702110722
Author(s):  
Jeremy S Liang
Keyword(s):  
Decision Making ◽  
Knowledge Representation ◽  
Processing Strategy ◽  
Braking System ◽  
New Form ◽  
Base Structure ◽  
Three Phases

Automotive troubleshooting process integrates repairing activities that are executed through auto professionals when they note phenomenon or conditions and determine about inspections, instructions, or checks, so as to tackle the trouble that affects a car. This study is focused on the knowledge representation for the aim of decision making in automotive troubleshooting process for automotive braking system. To reach this purpose, there are three phases followed: (1) a knowledge representation with procedural mode is investigated from an aspect of decision making; (2) a simple, instinctive, and efficient architecture of automotive knowledge formalization is presented; (3) an approach to generate troubleshooting procedures is defined. A new form, named diagram of expanded transformation (DoET), to represent knowledge and depict three fundamental tiers of decision making in the present or future disposal: processing strategy, quantity, and inapplicability. The approach can be also utilized manually to create DoETs from auto repair manuals (ARMs) or to build them spontaneously applying the messages feasible on workshop lists regarding single, multi-tier troubleshooting processes. The DoETs with auto repair manuals for auto braking system is validated. The acquired model can be utilized as a base structure for troubleshooting assisted systems generation.

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