A Framework of Intelligence Infrastructure Supported by Intelligent Agents

2011 ◽  
pp. 122-139
Author(s):  
Zaiyong Tang ◽  
Bruce A. Walters ◽  
Xiangyun Zeng
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Conceptual Framework ◽  
Intelligent Agents ◽  
Intelligent Agent ◽  
Computer Programs ◽  
Organizational Intelligence ◽  
Future Developments

In this chapter, we establish a conceptual framework for intelligence infrastructure, which is an indispensable foundation to intelligent enterprises. Intelligence infrastructure is defined as information technology based facilities, systems, and services that support effective and efficient decision making at all levels of an organization. Intelligent agents, or autonomous computer programs, have emerged in recent years as a key component to organizational intelligence infrastructure. We review intelligent agents research and applications, identify their role in intelligence infrastructure, discuss the concepts and issues behind the intelligent agent supported intelligence infrastructure, and point out future developments.

scholarly journals Application of the boundary detection method to the problem of recognizing the situation

2021 ◽  
Author(s):  
Alexander Andreevich Karandeev ◽  
Vladimir Petrovich Osipov ◽  
Victor Ivanovich Baluta
Keyword(s):  
Decision Making ◽  
Intelligent Agents ◽  
Detection Method ◽  
Intelligent Agent ◽  
Training Sample ◽  
Robotic Device ◽  
Video Images ◽  
Real Objects ◽  
Enclosed Space ◽  
Selection Of

This paper presents the results of one of the solutions to the problem of increasing the speed of decision-making by an intelligent agent when modeling the behavior of complex systems on a virtual electronic polygon. Such a training ground is currently considered as an instrumental platform for testing technologies for training intelligent agents in conditions of varying complexity in order to subsequently transfer the developed methods to real objects for solving practical problems. As an example, the control of a robotic device operating in an enclosed space is considered. The article describes the technology of reducing the volume and dimension of the processed data in order to increase the responsiveness to changes in the situation and the development of solutions for moving a robotic device. The technology is based on the preprocessing of video images for the formation of a training sample, as well as the procedure and results of deep learning of a convolutional neural network. The paper uses an open source library of OpenCV computer vision algorithms implemented in C / C++. It is shown that focusing on the selection of object boundaries can significantly reduce the amount of data for analyzing the situation and increase the speed of decision-making by the robot to move.

scholarly journals Conceptual Framework for the Mapping of Management Process with Information Technology in a Business Process

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Vetrickarthick Rajarathinam ◽  
Swarnalatha Chellappa ◽  
Asha Nagarajan
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Strategic Management ◽  
Conceptual Framework ◽  
Business Process ◽  
Software Tool ◽  
Business Environment ◽  
Management Process ◽  
Technology Mapping ◽  
Operational Process

This study on component framework reveals the importance of management process and technology mapping in a business environment. We defined ERP as a software tool, which has to provide business solution but not necessarily an integration of all the departments. Any business process can be classified as management process, operational process and the supportive process. We have gone through entire management process and were enable to bring influencing components to be mapped with a technology for a business solution.Governance, strategic management,anddecision makingare thoroughly discussed and the need of mapping these components with the ERP is clearly explained. Also we suggest that implementation of this framework might reduce the ERP failures and especially the ERP misfit was completely rectified.

Information technology support for integrated supply chain modeling

2008 ◽  
Vol 27 (1) ◽  
pp. 3-13
Author(s):  
Charu Chandra ◽  
Jānis Grabis
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Supply Chain ◽  
Process Modeling ◽  
Service Oriented Architecture ◽  
Model Development ◽  
Integrated Models ◽  
Supply Chain Modeling ◽  
Decision Making Models ◽  
Integrated Supply Chain

Multiple interrelated decision-making models are frequently used in supply chain modeling. Model integration is a precondition for efficient development and utilization of these models. This paper discusses use of modern information technology (IT) techniques and methods for integration of supply chain decision-making models. The overall approach to using IT at various stages of model development is presented. Data and process modeling techniques are used to developed semi-formalized representation of integrated models. These models support integration of decision-making components with other parts of supply chain information system. Process modeling is also used to describe interrelationships among multiple decision-making models. This representation is used as the basis for implementation of integrated models. The service-oriented architecture is proposed as an implementation platform. The presented discussion serves as the basis for further developments in developing integrated supply chain decision-making models.

scholarly journals Structured decision making as a conceptual framework to identify thresholds for conservation and management

2009 ◽  
Vol 19 (5) ◽  
pp. 1079-1090 ◽  
Author(s):  
Julien Martin ◽  
Michael C. Runge ◽  
James D. Nichols ◽  
Bruce C. Lubow ◽  
William L. Kendall
Keyword(s):  
Decision Making ◽  
Conceptual Framework ◽  
Structured Decision Making ◽  
Conservation And Management

Collective decision-making and fission-fusion dynamics: a conceptual framework

Oikos ◽  
2011 ◽  
Vol 120 (11) ◽  
pp. 1608-1617 ◽  
Author(s):  
Cédric Sueur ◽  
Andrew J. King ◽  
Larissa Conradt ◽  
Gerald Kerth ◽  
David Lusseau ◽  
...  
Keyword(s):  
Decision Making ◽  
Conceptual Framework ◽  
Collective Decision ◽  
Collective Decision Making

A conceptual framework for wisdom-based decision-making process in audit profession

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hoang To Loan Nguyen
Keyword(s):  
Decision Making ◽  
Grounded Theory ◽  
Conceptual Framework ◽  
Research Process ◽  
Decision Making Process ◽  
Ethical Orientation ◽  
Content Type ◽  
External Auditors ◽  
Wise Decision ◽  
Knowledge Assimilation

PurposeWisdom is considered as crucial in decision-making in both management and auditing practice. This research aims to investigate the concept of wisdom in auditing, thereby empirically exploring the determinants of wisdom in audit decision-making and explaining inter-relations among these determinants.Design/methodology/approachThis study employs grounded theory methodology that is based on in-depth interviews with twenty-seven practicing auditors who are audit partners, managers, seniors and assistants of auditing firms. Guided by the grounded theory, data collection and data analyses were conducted simultaneously to look into the new insights of the research phenomenon. The coding process was constantly compared until the research's theoretical saturation is reached after four rounds. At the end of the research process, the study conducted a survey to confirm the proposed framework as well as examine the inter-relationships between the defined determinants.FindingsResults suggest developing a conceptual framework to interpret wisdom-based decision-making process in auditing. A wise process of audit decision-making is defined as an integrated exercise of multiple determinants including knowledge assimilation, judgmental ability and ethical orientation. The research also explains and examines the potential interrelationships among these determinants in the audit decision-making process.Practical implicationsWisdom is a valuable tacit ability for all external auditors. The development of wise decision-making abilities of auditors should be considered an integral part of multiple virtues including knowledge and judgmental and ethical aspects.Originality/valueThe contributions of this study are original and significant because it proposes a new approach to explain for the audit decision-making process and enhances better understandings of the concept of wisdom in auditing practices and its roles in audit decision-making.

Trust Leadership: A Work-from-Home Scenario in Its Sector During the COVID-19 Pandemic

2021 ◽  
pp. 227868212110476
Author(s):  
Rahul. P
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Cross Section ◽  
Positive Relationship ◽  
Work From Home ◽  
It Employees ◽  
It Leadership

The study covers aspects of leadership trust among the information technology (IT) employees in India, with the help of data collected from a cross section of 205 IT employees. The article has assessed leadership trust factor from the employee’s (workforce) perspective with COVID19 pandemic and work-from-home situation. The outcome of data establishes a positive relationship between leadership trust and factors such as communication, decision-making, integrity, and motivation. The study also suggests that the IT sector and its leadership have created a positive trust among the employees during the COVID-19 work-from-home scenario. Findings suggest that in areas like integrity and making decisions quickly, the IT leadership has exhibited high trust levels, while in some other areas like communication and keeping the employees motivated (inspired), there have been few minor gaps that require attention from the leadership, which could preclude the wilting of established trust between the leader and his employees.

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