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.

scholarly journals Chatbots by business vis-à-vis consumers: A new form of power and information asymmetry

2021 ◽  
Vol 129 ◽  
pp. 05002
Author(s):  
Zanda Davida
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Information Asymmetry ◽  
Value Added ◽  
Legal Framework ◽  
Consumer Law ◽  
Study Results ◽  
The Sixties ◽  
Guidance Documents ◽  
New Form

Research background: The first notable early chatbots were created in the sixties, but the growing use of artificial intelligence (AI) has powered them significantly. Studies show that basically chatbots are created and used for purposes by government and business, mostly in consumer service and marketing. The new Proposal of the Artificial intelligence act aims to promote the uptake of AI and address the risks associated with certain uses of such technology. However, the act contains only minimum transparency obligation for some specific AL systems such as chatbots. Purpose of the article: In light of this issue, the article aims to discuss how existing European Union (EU) consumer law is equipped to deal with situations in which the use of chatbots can pose the risks of manipulation, aggressive commercial practices, intrusion into privacy, exploitation of a consumer’s vulnerabilities and algorithmic decision making based on biased or discriminatory results. Methods: The article will analyse the legal framework, compare guidance documents and countries’ experiences, study results of different consumer behavior researches and scientific articles. Findings & Value added: The article reveals several gaps in current EU consumer law and discusses the flaws of proposing legislation (particularly the Proposal for an Artificial intelligence act) regarding relations between business and consumers.

Trait-Related Decision-Making Impairment in the Three Phases of Bipolar Disorder

2011 ◽  
Vol 70 (4) ◽  
pp. 357-365 ◽  
Author(s):  
Marc Adida ◽  
Fabrice Jollant ◽  
Luke Clark ◽  
Nathalie Besnier ◽  
Sébastien Guillaume ◽  
...  
Keyword(s):  
Decision Making ◽  
Bipolar Disorder ◽  
Three Phases

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.

scholarly journals Algorithmic Accountability in Context. Socio-Technical Perspectives on Structural Causal Models

2021 ◽  
Vol 3 ◽  
Author(s):  
Nikolaus Poechhacker ◽  
Severin Kacianka
Keyword(s):  
Machine Learning ◽  
Decision Making ◽  
Social Theory ◽  
Social System ◽  
Causal Models ◽  
The Social ◽  
Algorithmic Accountability ◽  
Research Questions ◽  
New Form ◽  
Automated Decision Making

The increasing use of automated decision making (ADM) and machine learning sparked an ongoing discussion about algorithmic accountability. Within computer science, a new form of producing accountability has been discussed recently: causality as an expression of algorithmic accountability, formalized using structural causal models (SCMs). However, causality itself is a concept that needs further exploration. Therefore, in this contribution we confront ideas of SCMs with insights from social theory, more explicitly pragmatism, and argue that formal expressions of causality must always be seen in the context of the social system in which they are applied. This results in the formulation of further research questions and directions.

scholarly journals EG~metropolitane Integration und die Krise linker Wirtschaftspolitik

1993 ◽  
Vol 23 (92) ◽  
pp. 473-490 ◽  
Author(s):  
Bernd Röttger
Keyword(s):  
Decision Making ◽  
European Integration ◽  
Policy Making ◽  
Social Groups ◽  
Nation State ◽  
Social Forces ◽  
New Model ◽  
Regional State ◽  
New Form ◽  
Political Project

The prevailing process of European integration is based on a new compromise between globalization and regionalization, represented by competing social forces. This transnational compromise has produced a new model of policy in the EC, characterized by networks of interorganizational policy-making at the levels of supranational policy, the nation-state and the regional-state. The coordinated decision-making is creating a new form of political regulation of transnational accumulation. The contemporary strain between globalization and social fractionalization tends to undermine an alternative alliance of social groups. Left politics threatens to become an appendix of the dominating process of acumulation. An independed political project is, so far, out of sight.

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