A change detection software agent based on immune mixed selection

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.

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

International Journal of Marketing and Sales Education ◽

10.4018/ijmse.2018010102 ◽

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.

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Software agents: Languages, tools, platforms

Computer Science and Information Systems ◽

10.2298/csis110214013b ◽

2011 ◽

Vol 8 (2) ◽

pp. 255-298 ◽

Cited By ~ 51

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.

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An examination of historical and future land use changes in Uganda using change detection methods and agent-based modelling

African Geographical Review ◽

10.1080/19376812.2016.1189836 ◽

2016 ◽

Vol 35 (3) ◽

pp. 247-271 ◽

Cited By ~ 12

Author(s):

Jingjing Li ◽

Tonny J. Oyana ◽

Paul I. Mukwaya

Keyword(s):

Land Use ◽

Change Detection ◽

Land Use Changes ◽

Detection Methods ◽

Agent Based ◽

Agent Based Modelling

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Multi Software Agent Based Intelligent Tutoring System

International Journal of Engineering Trends and Technology ◽

10.14445/22315381/ijett-v20p242 ◽

2015 ◽

Vol 20 (5) ◽

pp. 218-222

Author(s):

Achi Ifeanyi Isaiah ◽

◽

Agwu Chukwuemeka Odi

Keyword(s):

Intelligent Tutoring ◽

Intelligent Tutoring System ◽

Software Agent ◽

Tutoring System ◽

Agent Based

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USING UNMANNED AERIAL SYSTEMS (UAS) TO PRODUCE POINT CLOUDS OF QUARRY WALLS FOR TESTING CHANGE DETECTION SOFTWARE AND THEIR APPLICATION TO STUDYING HIGHWAY ROCKFALL RATES

10.1130/abs/2019se-327839 ◽

2019 ◽

Author(s):

Amanda R. Thomason ◽

◽

Samantha L. Farmer ◽

Chester F. Watts ◽

George C. Stephenson

Keyword(s):

Change Detection ◽

Point Clouds ◽

Unmanned Aerial Systems ◽

Detection Software ◽

Aerial Systems

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Neuroeconomics

Multi-Agent Applications with Evolutionary Computation and Biologically Inspired Technologies ◽

10.4018/978-1-60566-898-7.ch003 ◽

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.

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