scholarly journals Smart Agent and it’s effect on Artificial Intelligence : A Review Study

2021 ◽  
Vol 5 (4) ◽  
pp. 1-9
Author(s):  
Renas Rajab Asaad ◽  
Veman Ashqi Saeed ◽  
Revink Masud Abdulhakim
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Problem Solving ◽  
Information Sources ◽  
Software Agents ◽  
Information Filtering ◽  
The Internet ◽  
Intelligent Software ◽  
Intelligent Software Agents ◽  
Use Of The Internet

Current networking technologies, as well as the ready availability of large quantities of data and knowledge on the Internet-based Infosphere, offer tremendous opportunities for providing more abundant and reliable information to decision makers and decision support systems. The use of the Internet has increased at a breakneck pace. Some prevailing features of the Infosphere, however, have hindered successful use of the Internet by humans or decision support machine systems. To begin with, the information available on the internet is disorganized, multi-modal, and spread around the globe on server pages. Second, every day, the number and variety of data sources and services grows dramatically. In addition, the availability, type, and dependability of information services are all changing all the time. Third, the same piece of knowledge can be obtained from a number of different sources. Fourth, due to the complex existence of information sources and possible information updating and maintenance issues, information is vague and probably incorrect. As a result, collecting, filtering, evaluating, and using information in problem solving is becoming increasingly difficult for a human or computer device. As a consequence, identifying information sources, accessing, filtering, and incorporating data in support of decision-making, as well as managing information retrieval and problem-solving efforts of information sources and decision-making processes, has become a critical challenge. To fix this issue, the idea of "Intelligent Software Agents" has been suggested. Although a precise definition of an intelligent agent is still a work in progress, the current working definition is that Intelligent Software Agents are programs that act on behalf of their human users to perform laborious information gathering tasks such as locating and accessing information from various on-line information sources, resolving inconsistencies in the retrieved information, filtering out irrelevant data.

Similarity-Based Decision Support for Internet Enabled Supply-Web Interactions

1998 ◽  
Author(s):  
Raj Veeramani ◽  
Narayanan Viswanathan ◽  
Shailesh M. Joshi
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Manufacturing Industry ◽  
Job Shop ◽  
The Internet ◽  
Agent Based ◽  
New Approaches ◽  
Effective Decision ◽  
Use Of The Internet ◽  
Effective Decision Making

Abstract New approaches for decision making are emerging to support the use of the Internet for supply-web interactions in the manufacturing industry. In this paper, we discuss one such paradigm, namely similarity-based decision support. It recognizes that knowledge of similar experiences can support rapid and effective decision making in various forms of supply-web interactions. We illustrate this approach using two prototype systems, WebScout (an agent-based system for customer–supplier matchmaking in the job-shop machining industry context) and TOME (Treasury of Manufacturing Experiences — an Intranet application to aid manufacturability assessment in foundries).

Intelligent Software Agents on the Internet: Chapters 1-3

First Monday ◽  
1997 ◽  
Author(s):  
Bjorn Hermans
Keyword(s):  
Software Agents ◽  
The Internet ◽  
Future Trends ◽  
Intelligent Software ◽  
Intelligent Software Agents ◽  
Developing Area ◽  
The Way

Software agents are a rapidly developing area of research. However, to many it is unclear what agents are and what they can (and maybe cannot) do. In the first part, this thesis will provide an overview of these, and many other agent-related theoretical and practical aspects. Besides that, a model is presented which will enhance and extend agents' abilities, but will also improve the way the Internet can be used to obtain or offer information and services on it. The second part is all about trends and developments. On the basis of past and present developments of the most important, relevant and involved parties and factors, future trends and developments are extrapolated and predicted.

scholarly journals An Analysis of the Interaction Between Intelligent Software Agents and Human Users

2018 ◽  
Vol 28 (4) ◽  
pp. 735-774 ◽  
Author(s):  
Christopher Burr ◽  
Nello Cristianini ◽  
James Ladyman
Keyword(s):  
Software Agents ◽  
Intelligent Software ◽  
Intelligent Software Agents

Some reasons why evidence from educational research is not particularly popular among (pre-service) teachers: A discussion

2021 ◽  
Vol 35 (2-3) ◽  
pp. 209-214
Author(s):  
Frank Fischer
Keyword(s):  
Decision Making ◽  
Teacher Education ◽  
Problem Solving ◽  
Educational Research ◽  
Information Sources ◽  
Research Evidence ◽  
Scientific Evidence ◽  
Scientific Information ◽  
Special Issue ◽  
The Individual

Abstract. This discussion first highlights novel aspects that the individual articles contribute to the special issue on (future) teachers' choice, use, and evaluation of (non-)scientific information sources about educational topics. Among these highlights are the conceptualizations of epistemic goals and the type of pedagogical task as moderators of the selection and use of scientific evidence. The second part raises overarching questions, including the following: How inclusive do we want the concept of evidence to be? How should teachers use research evidence in their pedagogical problem-solving and decision-making? To what extent is multidisciplinary teacher education contributing to epistemological confusion, possibly leading to (pre-service) teachers' low appreciation of educational research?

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