scholarly journals Agent-Based Ergonomic User Interface Development Environment: Analysis Phase

2019 ◽  
Vol 9 (1) ◽  
pp. 1406-1410
Keyword(s):  
User Interface ◽  
Cognitive Effort ◽  
The Internet ◽  
Development Environment ◽  
Environment Analysis ◽  
Agent Based ◽  
Analysis Phase ◽  
Adaptive Capabilities ◽  
Phases Of Development ◽  
Multi Agent

Internet around the world has become the prime source to satisfy the requirement of Entrepreneurs, customer and end users. As user comfort is the primary goal of all the entrepreneurs, the end user interacts through the internet to mine the knowledge. The user interacts the internet by apps and web. To attract the users, the user interface (UI) designers focus on Visual presentations to abet users to interact, comprehend, and navigate to the information. The work presents that how visual perceptions of Web page intricacy by perceptive users' behavior, the indispensable cognitive effort for interaction with the UI can be understood. The work presents an extension of current methods for designing UI using model-based technics, with the methods essential for the design of adaptive capacities required in different phases of development. These developments can be fused in Agent-Based Ergonomic User Interface Development Environment. This technique is bolstered by a solution based on Multi-Agent System (MAS) which offer adaptive capabilities to users, designed using the anticipated technique of Agent-Based Ergonomic User Interface Development Environment (AB-EUIDE). In [27] author has presented the various phases of the AB-EUIDE Framework. In this article author presents the analysis phase of the AB-EUIDE and explains how a compromise is done between Adaptation and Ergonomics while designing the user interface.

Contingency Theory, Agent-Based Systems, and a Virtual Advisor

2011 ◽  
pp. 766-771
Author(s):  
John R. Durrett ◽  
Lisa Burnell ◽  
John W. Priest
Keyword(s):  
New Technologies ◽  
Contingency Theory ◽  
Systems Design ◽  
Design Model ◽  
Instructional Model ◽  
Development Environment ◽  
Agent Based ◽  
Modular Software ◽  
Cooperative Development ◽  
Multi Agent

In this article, we investigate the potential of using a synthesis of organizational research, traditional systems analysis techniques, and agent-based computing in the creation and teaching of a Contingency Theoretic Systems Design (CTSD) model. To facilitate understanding of the new design model, we briefly provide the necessary background of these diverse fields, describe the conceptualization used in the integration process, and give a non-technical overview of an example implementation in a very complex design environment. The example utilized in this article is a Smart Agent Resource for Advising (SARA), an intelligent multi-agent advising system for college students. To test all of the potential of our CTSD model, we created SARA utilizing a distributed instructional model in a multi-university, multi-disciplinary cooperative design process. Just as a dynamic task environment forces an organization to compress its management structure and to outsource non-core activities in order to become flexible, a dynamic software development environment forces designers to create modular software. Until now, cooperative development paradigms were too complex to facilitate inter-organizational cooperative development efforts. With the increasing popularity of standards-based Web services, the development of pervasive computing technologies, and the advent of more powerful rapid application development languages and IDEs, this limitation has been removed. Our purpose in this research is twofold: first, to test the viability of using Contingency Theory (CT), a sub-discipline of Management Organizational Theory (OT), in an agent-based system; and second, to use these new technologies in creating a distributed instructional model that will allow students to interact with others in diverse educational environments. As an example implementation, we create a virtual advisor that will facilitate student advising in distributed environments. In the following sections, we outline the background theories involved in the conceptualization of our design model. We start with the shifts in systems design techniques and how CT can be applied to them and to various Multi-Agent Systems (MAS) to allow Contingency Theoretic Systems Design (CTSD). Once the necessary background is in place, we briefly discuss our new eLearning approach to cooperative distributed education. Finally, the structure of the SARA is discussed.

Intelligent Agents in a Trust Environment

2002 ◽  
pp. 98-108
Author(s):  
Rahul Singh ◽  
Mark A. Gill
Keyword(s):  
Distributed System ◽  
Intelligent Agents ◽  
Single Agent ◽  
Intelligent Agent ◽  
The Internet ◽  
Commercial Activity ◽  
Agent Based ◽  
Trust Relationships ◽  
Multi Agent ◽  
Oriented Activity

Intelligent agents and multi-agent technologies are an emerging technology in computing and communications that hold much promise for a wide variety of applications in Information Technology. Agent-based systems range from the simple, single agent system performing tasks such as email filtering, to a very complex, distributed system of multiple agents each involved in individual and system wide goal-oriented activity. With the tremendous growth in the Internet and Internet-based computing and the explosion of commercial activity on the Internet in recent years, intelligent agent-based systems are being applied in a wide variety of electronic commerce applications. In order to be able to act autonomously in a market environment, agents must be able to establish and maintain trust relationships. Without trust, commerce will not take place. This research extends previous work in intelligent agents to include a mechanism for handling the trust relationship and shows how agents can be fully used as intermediaries in commerce.

Software Agents for Mobile Commerce Services Support

2011 ◽  
pp. 246-266
Author(s):  
Mihhail Matskin ◽  
Amund Tveit
Keyword(s):  
User Interface ◽  
Mobile Devices ◽  
Mobile Device ◽  
Software Agents ◽  
Mobile Commerce ◽  
The Internet ◽  
Wireless Devices ◽  
Agent Based ◽  
Customer Profiles ◽  
Active Processing

This chapter considers an application of software agents to mobile commerce services provision. With the increasing number of e-commerce services for mobile devices, there are challenges in making these services more personalized and in taking into account the severely constrained bandwidth and restricted user interface these devices currently provide. In this chapter we present an agent-based platform for support of mobile commerce using wireless devices. Agents represent mobile device customers in the network by implementing highly personalized customer profiles. The platform allows customization and adaptation of mobile commerce services as well as pro-active processing and notification of important events. Information to the customers is delivered via both an access to the Internet and SMS messages. Usage of the platform is illustrated by examples of valued customer membership services and subscription services support. We hope that the presented work demonstrates benefits of software agents as assistants in mobile commerce services.

scholarly journals Towards an Agent-Based Architecture using Deep Reinforcement Learning for Intelligent Internet of Things Applications.pdf

2020 ◽  
Author(s):  
Dhouha Ben Noureddine ◽  
Moez Krichen ◽  
Seifeddine Mechti ◽  
Tarik Nahhal ◽  
Wilfried Yves Hamilton Adoni
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Agent Technology ◽  
Smart Manufacturing ◽  
The Internet ◽  
Agent Based ◽  
Multi Agent ◽  
Iot Devices ◽  
Future Work ◽  
Share Information

Internet of Things (IoT) is composed of many IoT devices connected throughout the Internet, that collect and share information to represent the environment. IoT is currently restructuring the actual manufacturing to smart manufacturing. However, inherent characteristics of IoT lead to a number of titanic challenges such as decentralization, weak interoperability, security, etc. The artificial intelligence provides opportunities to address IoT’s challenges, e.g the agent technology. This paper presents first an overview of ML and discusses some related work. Then, we briefly present the classic IoT architecture. Then we introduce our proposed Intelligent IoT (IIoT) architecture. We next concentrate on introducing the approach using multi-agent DRL in IIoT. Finally, in this promising field, we outline the open directions of future work.

Modelling and Simulating Complex Systems in Biology

2020 ◽  
pp. 898-929
Author(s):  
Pascal Ballet ◽  
Jérémy Rivière ◽  
Alain Pothet ◽  
Michaël Theron ◽  
Karine Pichavant ◽  
...  
Keyword(s):  
High Schools ◽  
User Interface ◽  
Middle Schools ◽  
Graphical User Interface ◽  
Source Code ◽  
Agent Based ◽  
Molecular Systems ◽  
Qualitative Survey ◽  
Multi Agent ◽  
Research And Education

Modelling and teaching complex biological systems is a difficult process. Multi-Agent Based Simulations (MABS) have proved to be an appropriate approach both in research and education when dealing with such systems including emergent, self-organizing phenomena. This chapter presents NetBioDyn, an original software aimed at biologists (students, teachers, researchers) to easily build and simulate complex biological mechanisms observed in multicellular and molecular systems. Thanks to its specific graphical user interface guided by the multi-agent paradigm, this software does not need any prerequisite in computer programming. It thus allows users to create in a simple way bottom-up models where unexpected behaviours can emerge from many interacting entities. This multi-platform software has been used in middle schools, high schools and universities since 2010. A qualitative survey is also presented, showing its ability to adapt to a wide and heterogeneous audience. The Java executable and the source code are available online at http://virtulab.univ-brest.fr.

scholarly journals A Multi-Agent Architecture for Electronic Payment

2003 ◽  
Vol 02 (03) ◽  
pp. 497-522 ◽  
Author(s):  
Sheng-Uei Guan ◽  
Feng Hua
Keyword(s):  
The Internet ◽  
Electronic Payment ◽  
Agent Architecture ◽  
Agent Based ◽  
Security Issues ◽  
Payment Schemes ◽  
Multi Agent ◽  
Use Of The Internet ◽  
Layered Design ◽  
Essential Problem

The Internet has brought about innumerable changes to the way enterprises do business. An essential problem to be solved before the widespread commercial use of the Internet is to provide a trustworthy solution for electronic payment. We propose a multi-agent mediated electronic payment architecture in this paper. It is aimed at providing an agent-based approach to accommodate multiple e-payment schemes. Through a layered design of the payment structure and a well-defined uniform payment interface, the architecture shows good scalability. When a new e-payment scheme or implementation is available, it can be plugged into the framework easily. In addition, we construct a framework allowing multiple agents to work cooperatively to realize automation of electronic payment. A prototype has been built to illustrate the functionality of this design. Finally, we discuss the security issues.

Integrated Multi-Agent-Based eLearning System as a Strategy to Promote Access to Higher Education in Africa

2015 ◽  
pp. 322-342
Author(s):  
Geoffrey Nafukho Omulayi ◽  
Peter Barasa Wawire
Keyword(s):  
Higher Education ◽  
Higher Education Institutions ◽  
Learning Processes ◽  
The Internet ◽  
Access To Higher Education ◽  
Educational Content ◽  
Agent Based ◽  
Multi Agent ◽  
The Cost ◽  
Education In Africa

In this chapter, the authors present the integrated multi-agent-based eLearning system as a strategy to promote access to higher education in Africa. The integrated multi-agent eLearning system breaks through the traditional barriers of time, location, and the cost of delivering educational content. The power of the Internet in an educational context has always been that it simplifies access to content and contact with the experts. An agent-oriented methodology is used in this chapter to demonstrate how multi-agents can help to design an eLearning system. This integrated multi-agent-based eLearning system brings in merits of portability, convenience, collaboration, instant response, and multi-literacies, and provides solutions in cases where expertise is distributed all over Africa. Given the rising population in Africa and scarcity of qualified professors in higher education, the best strategy is to implement the designed eLearning system to help support the learning processes in higher education institutions.

scholarly journals A Performance Evaluation of a Multi-Agent Mobile Learning System

2016 ◽  
Vol 10 (2) ◽  
pp. 10 ◽  
Author(s):  
Collins N Udanor ◽  
Ogbonna U. Oparaku
Keyword(s):  
Mobile Learning ◽  
New Technologies ◽  
Distributed Applications ◽  
Learning System ◽  
Multi Agent System ◽  
Development Environment ◽  
Agent Based ◽  
Multi Agent ◽  
Mobile Learning System ◽  
Agent Development

Mobile devices have emerged as our daily companion whose applicability evolves as the day unfolds. One of such applications is in the area of learning, called mobile learning (M-learning). However, as with all new technologies, M-learning is faced with the issues of standard, content packing, and deployment. And like other distributed applications on ubiquitous networks, M-learning is challenged with performance issues. This work shows the implementation and evaluation of a model for intelligent mobile learning system (IMLS) using a multi-agent system (MAS), such as the Java Agent Development Environment (JADE) framework. Two M-learning applications (agent-based and non-agent) were developed, deployed and tested. The agent-based application is deployed using an HTTP-based Message Transfer Protocol (MTP). The results suggest that agents can increase the performance of an M-learning application up to eight times.

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