Modelling of Software Agents in Knowledge-Based Organisations. Analysis of Proposed Research Tools

2016 ◽  
pp. 91-108 ◽  
Author(s):  
Mariusz Żytniewski ◽  
Andrzej Sołtysik ◽  
Anna Sołtysik-Piorunkiewicz ◽  
Bartosz Kopka
Keyword(s):  
Software Agents ◽  
Knowledge Based ◽  
Research Tools

Development of an Ontology for an Industrial Domain

2011 ◽  
pp. 277-291 ◽  
Author(s):  
Christine W. Chan
Keyword(s):  
Natural Gas ◽  
Software Agents ◽  
Gas Pipeline ◽  
Monitoring And Control ◽  
Knowledge Modeling ◽  
Ontology Construction ◽  
Natural Gas Pipeline ◽  
Knowledge Based ◽  
Application Ontology ◽  
And Control

This chapter presents a method for ontology construction and its application in developing ontology in the domain of natural gas pipeline operations. Both the method as well as the application ontology developed, contribute to the infrastructure of Semantic Web that provides semantic foundation for supporting information processing by autonomous software agents. This chapter presents the processes of knowledge acquisition and ontology construction for developing a knowledge-based decision support system for monitoring and control of natural gas pipeline operations. Knowledge on the problem domain was acquired and analyzed using the Inferential Modeling Technique, then the analyzed knowledge was organized into an application ontology and represented in the Knowledge Modeling System. Since ontology is an explicit specification of a conceptualization that provides a comprehensive foundation specification of knowledge in a domain, it provides semantic clarifications for autonomous software agents that process information on the Internet.

Developing Knowledge Management Systems from a Knowledge-Based and Multi-Agent Approach

2009 ◽  
pp. 817-833
Author(s):  
Aurora Vizcaíno ◽  
Juan Pablo Soto ◽  
Javier Portillo-Rodríguez
Keyword(s):  
Knowledge Management ◽  
Software Agents ◽  
Knowledge Flows ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Technical Aspects ◽  
Knowledge Based ◽  
Retrieval Technique ◽  
Multi Agent ◽  
Developing Knowledge

Developing knowledge management systems is a complicated task since it is necessary to take into account how the knowledge is generated, how it can be distributed in order to reuse it, and other aspects related to the knowledge flows. On the other hand, many technical aspects should also be considered such as what knowledge representation or retrieval technique is going to be used. To find a balance between both aspects is important if we want to develop a successful system. However, developers often focus on technical aspects, giving less importance to knowledge issues. In order to avoid this, we have developed a model to help computer science engineers to develop these kinds of systems. In our proposal we first define a knowledge life cycle model that, according to literature and our experience, ponders all the stages that a knowledge management system should give support to. Later, we describe the technology (software agents) that we recommend to support the activities of each stage. The article explains why we consider that software agents are suitable for this end and how they can work in order to reach their goals. Moreover, a prototype that uses these agents is also described.

A developed software agent-knowledge-assisted procurement management tool for retailing enterprise

2019 ◽  
Vol 49 (1) ◽  
pp. 54-75 ◽  
Author(s):  
Bokolo Anthony Jnr
Keyword(s):  
Software Agents ◽  
Software Agent ◽  
Management Tool ◽  
Future Research ◽  
Acceptance Test ◽  
Quantitative Methodology ◽  
Procurement Management ◽  
Content Type ◽  
Knowledge Based ◽  
Agent Knowledge

PurposeThis study aims to develop a software agent-knowledge procurement management tool to address uncertainties from external and internal environments, such as record failure, slow logistics auditing and distribution delay toward improving procurement management in retailing enterprises.Design/methodology/approachQuantitative methodology was used to collect data using a self-administered survey from randomly selected procurement staffs, marketers and customers to measure their perception regarding the feasibility and acceptance of the implemented agent-knowledge-based procurement management tool.FindingsResults from empirical analysis reveal that the implemented tool facilitates collaboration and interaction among buyers, sellers and procurement managers toward enhancing procurement managers’ flexibility to handle unexpected exceptions. In addition, results confirm the feasibility of the implemented tool in supporting procurement management toward handling inventory failure exception, which occurs in traditional procurement approaches. Moreover, descriptive results from user acceptance test verify that the tool was accepted by the respondents.Research limitations/implicationsThe limitation of this study is that the implemented tool is evaluated using data collected from respondents in Malaysia retailing enterprise only; thus, the results cannot be generalized to other enterprises and country. In addition, research implications from this study design a methodological and comprehensive software agent-knowledge-based model that support buyers, sellers and procurement managers with information to facilitate buying and selling operations.Practical implicationsPractically, the designed software agent-knowledge-based model describes how software agents collaborate with each other to facilitate procurement tasks and also use the knowledge base in the implemented tool to provide information sharing platform that manages the dynamics of procurement operations.Social implicationsThis research integrates software agents which are autonomous programs that carryout pre-defined task on behalf of end users. Socially, this study would be useful for procurement managers in developing mechanisms for instilling insights in retailing operations.Originality/valueThis research is among the first to attempt to develop a software agent-knowledge-based model to support procurement management in the retailing enterprise domain. It contributes to promote e-procurement practices by implementing a software agent-knowledge-oriented tool to address uncertainties experienced in retailing enterprise. It is envisaged that this study will provide basis for future research into e-procurement practices for retailing businesses in Malaysia and beyond.

Software Agents Mediated Decision Simulation in Supply Chains

2019 ◽  
pp. 40-56
Author(s):  
Kamalendu Pal
Keyword(s):  
Environmental Impact ◽  
Best Practices ◽  
Carbon Footprint ◽  
Software Agents ◽  
Software Systems ◽  
Multi Agent Systems ◽  
Intelligent Decision Making ◽  
Knowledge Based ◽  
Hybrid Knowledge ◽  
Multi Agent

The concept of software agent has become important in both artificial intelligence and mainstream computer science. Multi-agent systems (MAS) are providing the way to design and implement information system solutions that exhibit flexibility, adoptability and reconfigurability in a distributed environment, which are main benefits over traditional centralized software systems. The analysis, design, deployment and testing of such distributed agent-based software systems, particularly those exhibiting intelligent decision-making properties, are usually a challenging task. Simulation plays a key role to analyse the behaviour of MAS solutions during the analysis and design phase of automated software solution. This chapter uses the concept of multi-agent computing and presents software architecture for green supply chain management, in particular carbon footprint assessment planning for a multi-modal transportation problem. In this architecture, all the software agents' operations are governed by a hybrid knowledge-based which utilizes case-based reasoning (CBR) and rule-based reasoning (RBR). The describe architecture accepts a transportation service request and plans a transportation strategy with a minimum environmental impact (i.e. CO2 footprint), by retrieving best practices (from a carbon footprint perspective) for each route leg, from a repository of best practiced cases. Carbon footprint best practices from each route leg in a multi-modal transportation scenario are used to minimize environmental impact and thus demonstrate system functionality.

Research tools and reference works

1999 ◽  
pp. 295-302
Author(s):  
Catherine Léglu
Keyword(s):  
Research Tools

Is the Personal Always Political?

2017 ◽  
Vol 38 (3) ◽  
pp. 133-143 ◽  
Author(s):  
Danny Osborne ◽  
Yannick Dufresne ◽  
Gregory Eady ◽  
Jennifer Lees-Marshment ◽  
Cliff van der Linden
Keyword(s):  
Survey Data ◽  
National Survey ◽  
Negative Relationship ◽  
Openness To Experience ◽  
Political Sophistication ◽  
Knowledge Based

Abstract. Research demonstrates that the negative relationship between Openness to Experience and conservatism is heightened among the informed. We extend this literature using national survey data (Study 1; N = 13,203) and data from students (Study 2; N = 311). As predicted, education – a correlate of political sophistication – strengthened the negative relationship between Openness and conservatism (Study 1). Study 2 employed a knowledge-based measure of political sophistication to show that the Openness × Political Sophistication interaction was restricted to the Openness aspect of Openness. These studies demonstrate that knowledge helps people align their ideology with their personality, but that the Openness × Political Sophistication interaction is specific to one aspect of Openness – nuances that are overlooked in the literature.

Sign in / Sign up

Export Citation Format

Share Document