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 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.

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

Latest Technology and Future Trends

2021 ◽  
pp. 270-273
Author(s):  
Meghna Babubhai Patel ◽  
Jagruti N. Patel ◽  
Upasana M. Bhilota
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Smart Devices ◽  
The Internet ◽  
Future Trends ◽  
Internet Industry ◽  
The Neural Network ◽  
Dramatic Rise ◽  
Technological World ◽  
The Way

ANN can work the way the human brain works and can learn the way we learn. The neural network is this kind of technology that is not an algorithm; it is a network that has weights on it, and you can adjust the weights so that it learns. You teach it through trials. It is a fact that the neural network can operate and improve its performance after “teaching” it, but it needs to undergo some process of learning to acquire information and be familiar with them. Nowadays, the age of smart devices dominates the technological world, and no one can deny their great value and contributions to mankind. A dramatic rise in the platforms, tools, and applications based on machine learning and artificial intelligence has been seen. These technologies not only impacted software and the internet industry but also other verticals such as healthcare, legal, manufacturing, automobile, and agriculture. The chapter shows the importance of latest technology used in ANN and future trends in ANN.

Property Protection and User Authentication in IP Networks Through Challenge-Response Mechanisms

2011 ◽  
pp. 186-205
Author(s):  
Giaime Ginesu ◽  
Mirko Luca Lobina ◽  
Daniele D. Giusto
Keyword(s):  
Copyright Protection ◽  
User Authentication ◽  
Ip Networks ◽  
The Internet ◽  
Future Trends ◽  
Digital Contents ◽  
The Future ◽  
Basic Concepts ◽  
The Way

Authentication is the way of identifying an individual. The techniques used to accomplish such practice strongly depend on the involved parties, their interconnection, and the required level of security. In all cases, authentication is used to enforce property protection, and may be specifically intended for the copyright protection of digital contents published on the Internet. This chapter introduces the basic concepts of authentication, explaining their relationship with property protection. The basic functionalities of challenge-response frameworks are presented, together with several applications and the future trends.

Intelligent Software Agents Analysis in E-Commerce II

2009 ◽  
pp. 1452-1457
Author(s):  
Xin Luo ◽  
Somasheker Akkaladevi
Keyword(s):  
Parallel Processing ◽  
Cognitive Ability ◽  
Software Agents ◽  
Limited Resources ◽  
Information Complexity ◽  
Intelligent Software ◽  
Intelligent Software Agents ◽  
Processing Abilities ◽  
Search For Information

Cowan et al. (2002) argued that the human cognitive ability to search for information and to evaluate their usefulness is extremely limited in comparison to those of computers. In detail, it’s cumbersome and time-consuming for a person to search for information from limited resources and to evaluate the information’s usefulness. They further indicated that while people are able to perform several queries in parallel and are good at drawing parallels and analogies between pieces of information, advanced systems that embody ISA architecture are far more effective in terms of calculation power and parallel processing abilities, particularly in the quantities of material they can process (Cowan et al. 2002). According to Bradshaw (1997), information complexity will continue to increase dramatically in the coming decades. He further contended that the dynamic and distributed nature of both data and applications require that software not merely respond to requests for information but intelligently anticipate, adapt, and actively seek ways to support users.

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