Software agent based approach towards tele-electrocardiography

2002 ◽  
Author(s):  
P. Ganguly ◽  
P. Ray ◽  
G. Low
Keyword(s):  
Software Agent ◽  
Agent Based

Software agent-based directed diffusion in wireless sensor network

2008 ◽  
Vol 38 (3-4) ◽  
pp. 161-174 ◽  
Author(s):  
Elhadi Shakshuki ◽  
Haroon Malik ◽  
Mieso K. Denko
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Software Agent ◽  
Wireless Sensor ◽  
Directed Diffusion ◽  
Agent Based

A Proposed Model of an Intelligent Software Agent for Marketing Education (ISAME)

2021 ◽  
pp. 529-537
Author(s):  
Hussein Moselhy Sayed Ahmed
Keyword(s):  
Software Agent ◽  
Interactive Software ◽  
Initial Test ◽  
Training And Education ◽  
Agent Based ◽  
Marketing Education ◽  
Education Resources ◽  
Intelligent Software ◽  
Proposed Model ◽  
Digital Environments

The purpose of this article is to illustrate the advantages of intelligent software agent technologies in order to facilitate the location and customization of appropriate marketing education resources, as well as to foster collaboration between individuals within digital environments. In order to do this, this article discusses how such intelligent and interactive software can translate into a better educational environment for marketing curriculum, particularly e-marketing courses. The authors present a conceptual model for managing marketing training and education using intelligent software agent, based on extant literature. So, this article presents some initial test of the proposed model of ISAME usage in marketing education in e-marketing class.

A Proposed Model of an Intelligent Software Agent for Marketing Education (ISAME)

2018 ◽  
Vol 1 (1) ◽  
pp. 20-30
Author(s):  
Hussein Moselhy Sayed Ahmed
Keyword(s):  
Educational Environment ◽  
Software Agent ◽  
Interactive Software ◽  
Training And Education ◽  
Agent Based ◽  
Marketing Education ◽  
Education Resources ◽  
Intelligent Software ◽  
Proposed Model ◽  
Digital Environments

The purpose of this article is to illustrate the advantages of intelligent software agent technologies in order to facilitate the location and customization of appropriate marketing education resources, as well as to foster collaboration between individuals within digital environments. In order to do this, this article discusses how such intelligent and interactive software can translate into a better educational environment for marketing curriculum, particularly e-marketing courses. The authors present a conceptual model for managing marketing training and education using intelligent software agent, based on extant literature. So, this article presents some initial test of the proposed model of ISAME usage in marketing education in e-marketing class.

scholarly journals Software agents: Languages, tools, platforms

2011 ◽  
Vol 8 (2) ◽  
pp. 255-298 ◽  
Author(s):  
Costin Bădică ◽  
Zoran Budimac ◽  
Hans-Dieter Burkhard ◽  
Mirjana Ivanovic
Keyword(s):  
Software Development ◽  
Reference Point ◽  
Software Agents ◽  
Large Body ◽  
Software Agent ◽  
Agent Technology ◽  
Agent Based ◽  
Key Concepts ◽  
Developing Area

The main goal of this paper is to provide an overview of the rapidly developing area of software agents serving as a reference point to a large body of literature and to present the key concepts of software agent technology, especially agent languages, tools and platforms. Special attention is paid on significant languages designed and developed in order to support implementation of agent-based systems and their applications in different domains. Afterwards, in the paper a number of useful and practically used tools and platforms that are available and support activities or phases of the process of agent-oriented software development are presented.

Neuroeconomics

2010 ◽  
pp. 35-49
Author(s):  
Shu-Heng Chen ◽  
Shu G. Wang
Keyword(s):  
Reinforcement Learning ◽  
Software Agents ◽  
Risk Attitude ◽  
Software Agent ◽  
Computational Economics ◽  
Parameter Setting ◽  
Agent Based ◽  
Agent Design

Recently, the relation between neuroeconomics and agent-based computational economics (ACE) has become an issue concerning the agent-based economics community. Neuroeconomics can interest agent-based economists when they are inquiring for the foundation or the principle of the software-agent design, normally known as agent engineering. It has been shown in many studies that the design of software agents is non-trivial and can determine what will emerge from the bottom. Therefore, it has been quested for rather a period regarding whether we can sensibly design these software agents, including both the choice of software agent models, such as reinforcement learning, and the parameter setting associated with the chosen model, such as risk attitude. In this chapter, we shall start a formal inquiry by focusing on examining the models and parameters used to build software agents.

Neuroeconomics and Agent-Based Computational Economics

2014 ◽  
Vol 3 (2) ◽  
pp. 15-34 ◽  
Author(s):  
Shu-Heng Chen
Keyword(s):  
Reinforcement Learning ◽  
Software Agents ◽  
Risk Attitude ◽  
Software Agent ◽  
Computational Economics ◽  
Parameter Setting ◽  
Agent Based ◽  
Agent Design

Recently, the relation between neuroeconomics and agent-based computational economics (ACE) has become an issue concerning the agent-based economics community. Neuroeconomics can interest agent-based economists when they are inquiring for the foundation or the principle of the software-agent design. It has been shown in many studies that the design of software agents is non-trivial and can determine what will emerge from the bottom. Therefore, it has been quested for rather a period regarding whether anyone can sensibly design these software agents, including both the choice of software agent models, such as reinforcement learning, and the parameter setting associated with the chosen model, such as risk attitude. In this paper, the author will start a formal inquiry by focusing on examining the models and parameters used to build software agents.

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