Pub Date : 2015-04-01DOI: 10.4018/IJATS.2015040103
Hosny A. Abbas
Dynamic reorganization of multi-agent systems MAS is currently an interesting and active research area. New emerging concepts such as self-organization and emergence are also getting great focus by MAS research community because of their captivating benefits for engineering complex large-scale MAS applications. Dynamic reorganization is considered as an effective way for building adaptive MAS. This paper provides an operational view of the conceptually proposed NOSHAPE dynamic organizational model for dynamically reorganized multi-agent systems Abbas, 2014. The operational view concerns possible design decisions, implementation issues, and suggested usage of the NOSHAPE model for practically engineering real life applications. This paper also identifies the possible solutions to be applied throughout the system design to resolve these concerns.
{"title":"Realizing the NOSHAPE MAS Organizational Model: An Operational View","authors":"Hosny A. Abbas","doi":"10.4018/IJATS.2015040103","DOIUrl":"https://doi.org/10.4018/IJATS.2015040103","url":null,"abstract":"Dynamic reorganization of multi-agent systems MAS is currently an interesting and active research area. New emerging concepts such as self-organization and emergence are also getting great focus by MAS research community because of their captivating benefits for engineering complex large-scale MAS applications. Dynamic reorganization is considered as an effective way for building adaptive MAS. This paper provides an operational view of the conceptually proposed NOSHAPE dynamic organizational model for dynamically reorganized multi-agent systems Abbas, 2014. The operational view concerns possible design decisions, implementation issues, and suggested usage of the NOSHAPE model for practically engineering real life applications. This paper also identifies the possible solutions to be applied throughout the system design to resolve these concerns.","PeriodicalId":93648,"journal":{"name":"International journal of agent technologies and systems","volume":"23 1","pages":"75-104"},"PeriodicalIF":0.0,"publicationDate":"2015-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85101079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-04-01DOI: 10.4018/IJATS.2015040102
T. Kristensen, M. Dyngeland
In this paper the authors present the design and software development of an E-learning system based on a multi-agent MAS architecture. The multi-agent architecture is established on the client-server model. The MAS architecture is combined with the Dynamic Content Manager DCM model of E-learning developed at Bergen University College, Norway. The authors first present the quality requirements of the system before they describe the architectural decisions taken. They then evaluate and discuss the benefits of using a multi-agent architecture. Finally, the MAS architecture is compared with a pure service-oriented architecture SOA to observe that a MAS architecture has a lot of the same qualities as this architecture, in addition to some new ones.
{"title":"Design and Development of a Multi-Agent E-Learning System","authors":"T. Kristensen, M. Dyngeland","doi":"10.4018/IJATS.2015040102","DOIUrl":"https://doi.org/10.4018/IJATS.2015040102","url":null,"abstract":"In this paper the authors present the design and software development of an E-learning system based on a multi-agent MAS architecture. The multi-agent architecture is established on the client-server model. The MAS architecture is combined with the Dynamic Content Manager DCM model of E-learning developed at Bergen University College, Norway. The authors first present the quality requirements of the system before they describe the architectural decisions taken. They then evaluate and discuss the benefits of using a multi-agent architecture. Finally, the MAS architecture is compared with a pure service-oriented architecture SOA to observe that a MAS architecture has a lot of the same qualities as this architecture, in addition to some new ones.","PeriodicalId":93648,"journal":{"name":"International journal of agent technologies and systems","volume":"53 1","pages":"19-74"},"PeriodicalIF":0.0,"publicationDate":"2015-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88623145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-04-01DOI: 10.4018/IJATS.2015040101
M. Dabbaghianamiri, F. Ameri, J. Jimenez
Manufacturing supply chains are increasingly becoming agile to keep up with the rapid changes in the market. Ability to assess and select new suppliers quickly is a necessity for rapid formation of agile supply chains. The Digital Manufacturing Market DMM was proposed as a virtual market for trading manufacturing services. In the DMM, buyers and sellers are represented by intelligent software agents. The DMM enables autonomous deployment of service-oriented supply chains from a pool of suppliers that are distributed geographically. In this paper, a simulated model of the DMM is proposed and implemented. The objective is to evaluate the performance of the market under different scenarios. The metrics used for evaluating the performance of the market include average customer wait time, utilization rate of the suppliers in the system, the number of matched services in a given time period, and the overall score of the created supply chains. The results show that a combination of dynamic capacity adjustment and discount policy improves the performance of the market.
{"title":"Agent-Based Simulation and Modeling for Service Allocation in Digital Manufacturing Market","authors":"M. Dabbaghianamiri, F. Ameri, J. Jimenez","doi":"10.4018/IJATS.2015040101","DOIUrl":"https://doi.org/10.4018/IJATS.2015040101","url":null,"abstract":"Manufacturing supply chains are increasingly becoming agile to keep up with the rapid changes in the market. Ability to assess and select new suppliers quickly is a necessity for rapid formation of agile supply chains. The Digital Manufacturing Market DMM was proposed as a virtual market for trading manufacturing services. In the DMM, buyers and sellers are represented by intelligent software agents. The DMM enables autonomous deployment of service-oriented supply chains from a pool of suppliers that are distributed geographically. In this paper, a simulated model of the DMM is proposed and implemented. The objective is to evaluate the performance of the market under different scenarios. The metrics used for evaluating the performance of the market include average customer wait time, utilization rate of the suppliers in the system, the number of matched services in a given time period, and the overall score of the created supply chains. The results show that a combination of dynamic capacity adjustment and discount policy improves the performance of the market.","PeriodicalId":93648,"journal":{"name":"International journal of agent technologies and systems","volume":"6 1","pages":"1-18"},"PeriodicalIF":0.0,"publicationDate":"2015-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81019393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-04-01DOI: 10.4018/IJATS.2015040104
Bouneb. Messaouda, S. D. Eddine
This paper proposes a new hierarchical design method for the specification and the verification of multi agent systems MAS. For this purpose, the authors propose the model of Refinable Recursive Petri Nets RRPN under a maximality semantics. In this model, a notion of undefined transitions is considered. The underlying semantics model is the Abstract Maximality-based Labeled Transition System AMLTS. Hence, the model supports a definition of a hierarchical design methodology. The example of goods transportation is used for illustrating the approach. For the system assessment, the properties are expressed in CTL logic and verified using the verification environment FOCOVE Formal Concurrency Verification Environment.
{"title":"Hierarchical Design Method for Multi-Agent Systems","authors":"Bouneb. Messaouda, S. D. Eddine","doi":"10.4018/IJATS.2015040104","DOIUrl":"https://doi.org/10.4018/IJATS.2015040104","url":null,"abstract":"This paper proposes a new hierarchical design method for the specification and the verification of multi agent systems MAS. For this purpose, the authors propose the model of Refinable Recursive Petri Nets RRPN under a maximality semantics. In this model, a notion of undefined transitions is considered. The underlying semantics model is the Abstract Maximality-based Labeled Transition System AMLTS. Hence, the model supports a definition of a hierarchical design methodology. The example of goods transportation is used for illustrating the approach. For the system assessment, the properties are expressed in CTL logic and verified using the verification environment FOCOVE Formal Concurrency Verification Environment.","PeriodicalId":93648,"journal":{"name":"International journal of agent technologies and systems","volume":"7 1","pages":"105-134"},"PeriodicalIF":0.0,"publicationDate":"2015-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70447981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-01-01DOI: 10.4018/ijats.2015010101
W. Mefteh, F. Migeon, M. Gleizes, F. Gargouri
Complex systems are qualified by the heterogeneity of the involved actors, the large mass of data, the distribution of the manipulated information and the dynamic of the environment in which they are immersed. Designing such systems necessitate theory and methodology. This paper is situated in the AMAS theory and the ADELFE methodology. The AMAS theory Adaptive Multi-Agent System was proposed to model complex systems. The ADELFE methodology was proposed to guide the AMAS designer. Building AMAS systems is not an easy task. The objective of the authors' work is to make the task of the AMAS designer less difficult. This paper details two main contributions that the authors proposed in this field. The first contribution consists in improving the ADELFE methodology by simulation techniques. The second contribution consists in enhancing the AMAS agent behavior by giving it the ability to self-design.
{"title":"Simulation Based Design for Adaptive Multi-Agent Systems with the ADELFE Methodology","authors":"W. Mefteh, F. Migeon, M. Gleizes, F. Gargouri","doi":"10.4018/ijats.2015010101","DOIUrl":"https://doi.org/10.4018/ijats.2015010101","url":null,"abstract":"Complex systems are qualified by the heterogeneity of the involved actors, the large mass of data, the distribution of the manipulated information and the dynamic of the environment in which they are immersed. Designing such systems necessitate theory and methodology. This paper is situated in the AMAS theory and the ADELFE methodology. The AMAS theory Adaptive Multi-Agent System was proposed to model complex systems. The ADELFE methodology was proposed to guide the AMAS designer. Building AMAS systems is not an easy task. The objective of the authors' work is to make the task of the AMAS designer less difficult. This paper details two main contributions that the authors proposed in this field. The first contribution consists in improving the ADELFE methodology by simulation techniques. The second contribution consists in enhancing the AMAS agent behavior by giving it the ability to self-design.","PeriodicalId":93648,"journal":{"name":"International journal of agent technologies and systems","volume":"14 1","pages":"1-16"},"PeriodicalIF":0.0,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87270538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-01-01DOI: 10.4018/ijats.2015010102
Rasoul Ramezanian, Akram Emdadi
In a testing session, students may want to use the information of other students, which is cheating. The authors of this paper develop an artificial society to model and simulate this situation. They consider two control factors to increase the incentive of students to not cheat. The first factor is the penalty for similarity between responses as much as two answer-sheets of two students are the same, their final grades decrease. The second factor is the observers who look into the students and do not allow the observed students to cheat. In this model, agents participate in a test based on their level of knowledge, location and two above factors, deciding whether or not to cheat. These components are used to formulate the utility function. Taking advantage of the developed artificial society, the authors now study the above factors affecting the amount of cheating in a test session.
{"title":"Simulation of Skulduggery in a Multi-Agent System","authors":"Rasoul Ramezanian, Akram Emdadi","doi":"10.4018/ijats.2015010102","DOIUrl":"https://doi.org/10.4018/ijats.2015010102","url":null,"abstract":"In a testing session, students may want to use the information of other students, which is cheating. The authors of this paper develop an artificial society to model and simulate this situation. They consider two control factors to increase the incentive of students to not cheat. The first factor is the penalty for similarity between responses as much as two answer-sheets of two students are the same, their final grades decrease. The second factor is the observers who look into the students and do not allow the observed students to cheat. In this model, agents participate in a test based on their level of knowledge, location and two above factors, deciding whether or not to cheat. These components are used to formulate the utility function. Taking advantage of the developed artificial society, the authors now study the above factors affecting the amount of cheating in a test session.","PeriodicalId":93648,"journal":{"name":"International journal of agent technologies and systems","volume":"11 1","pages":"17-31"},"PeriodicalIF":0.0,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72921015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-01-01DOI: 10.4018/ijats.2015010104
R. K. Chatterjee, N. Neha, A. Sarkar
Modeling interactions between agents and the Multi-Agent System MAS behavior based on role based collaboration among the participating agents are the key factors to design of effective MAS dynamics. In this paper, a High level Multi Agent Petri Net called HMAP has been proposed which is capable of describing, analyzing and modeling dynamics of such MAS which are characterized as asynchronous, distributed, parallel and non-deterministic agent based systems. Proposed HMAP is also effective towards modeling roles, collaborations and interactions among the heterogeneous agents in MAS environment. Moreover the HMAP is useful in formal analysis of several behavioral properties of MAS like, Reachability, Home properties, Boundedness, Liveness and Fairness. The proposed mechanism has been illustrated using a suitable case study of Medical Emergency System. Moreover, to further validate the proposed concepts of HMAP, it has been simulated using Color Petri Net based tool called CPN Tool, with some restriction.
{"title":"Behavioral Modeling of Multi Agent System: High Level Petri Net Based Approach","authors":"R. K. Chatterjee, N. Neha, A. Sarkar","doi":"10.4018/ijats.2015010104","DOIUrl":"https://doi.org/10.4018/ijats.2015010104","url":null,"abstract":"Modeling interactions between agents and the Multi-Agent System MAS behavior based on role based collaboration among the participating agents are the key factors to design of effective MAS dynamics. In this paper, a High level Multi Agent Petri Net called HMAP has been proposed which is capable of describing, analyzing and modeling dynamics of such MAS which are characterized as asynchronous, distributed, parallel and non-deterministic agent based systems. Proposed HMAP is also effective towards modeling roles, collaborations and interactions among the heterogeneous agents in MAS environment. Moreover the HMAP is useful in formal analysis of several behavioral properties of MAS like, Reachability, Home properties, Boundedness, Liveness and Fairness. The proposed mechanism has been illustrated using a suitable case study of Medical Emergency System. Moreover, to further validate the proposed concepts of HMAP, it has been simulated using Color Petri Net based tool called CPN Tool, with some restriction.","PeriodicalId":93648,"journal":{"name":"International journal of agent technologies and systems","volume":"21 1","pages":"55-78"},"PeriodicalIF":0.0,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85906503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-01-01DOI: 10.4018/ijats.2015010103
Souheila Boudouda, Mahmoud Boufaïda
The aim of the presented work is to contribute to the field of the supply chain design that spans multiple organizations. It is based on a methodological approach that outlines two main results: a conceptual model and an operational one. These two models take into account the different characteristics and mechanisms of the supply chain. The conceptual level is based on four views: product, organizational, functional and informational. At this level, a meta-model that contains the basic generic concepts of the supply chain is proposed. The operational level uses the agent paradigm to model the different actors of the supply chain and the relationships between them. According to the characteristics of supply chains, a negotiation protocol between the different agents is presented. Simulations prove that the presented negotiation protocol can increase the efficiency and successful cooperation ratio for supply chain negotiation.
{"title":"Integrating Multi-View Model and Agent Paradigm in the Supply Chain Design","authors":"Souheila Boudouda, Mahmoud Boufaïda","doi":"10.4018/ijats.2015010103","DOIUrl":"https://doi.org/10.4018/ijats.2015010103","url":null,"abstract":"The aim of the presented work is to contribute to the field of the supply chain design that spans multiple organizations. It is based on a methodological approach that outlines two main results: a conceptual model and an operational one. These two models take into account the different characteristics and mechanisms of the supply chain. The conceptual level is based on four views: product, organizational, functional and informational. At this level, a meta-model that contains the basic generic concepts of the supply chain is proposed. The operational level uses the agent paradigm to model the different actors of the supply chain and the relationships between them. According to the characteristics of supply chains, a negotiation protocol between the different agents is presented. Simulations prove that the presented negotiation protocol can increase the efficiency and successful cooperation ratio for supply chain negotiation.","PeriodicalId":93648,"journal":{"name":"International journal of agent technologies and systems","volume":"40 1","pages":"32-54"},"PeriodicalIF":0.0,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82458698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-10-01DOI: 10.4018/ijats.2014100101
Omid Roozmand, Dg Webster
Satisficing behavior is one of the most important subjects in consumer behavior studies. Satisficing consumers select any affordable bundle of items with utility larger than their satisfaction threshold. This contrasts to maximizing behavior, where the consumer selects the bundle of items with the highest possible utility within his or her budget constraint. The authors hypothesize that, all else equal, satisficers will purchase more goods overall when compared with maximizers. Furthermore, satisficers will also purchase more disposable rather than durable goods because they are less concerned with maximizing the total value of their purchases. To test these hypotheses, an agent-based model of consumer behavior has been developed that allows for decision making based on either satisficing or maximizing rules. Satisficer agents use a modified genetic algorithm to find a satisficing bundle. Maximizer agents apply dynamic programming to find the best bundle of items. The aggregated results of consumer agents’ purchases support aforementioned hypotheses when consumers select from three types of products: 1) cheap disposable, 2) cheap durable, and 3) expensive durable. The hypotheses also hold when a more realistic set of items is constructed based on the common economic assumption that supply curves are upward sloping. In this latter case, consumers choose bundles from a total of 5 types of items, each of which differs in price, quality, and durability. Consumer Choice and Aggregate Demand: An ABM Approach to Understanding the Impacts of Satisficing Behavior
{"title":"Consumer Choice and Aggregate Demand: An ABM Approach to Understanding the Impacts of Satisficing Behavior","authors":"Omid Roozmand, Dg Webster","doi":"10.4018/ijats.2014100101","DOIUrl":"https://doi.org/10.4018/ijats.2014100101","url":null,"abstract":"Satisficing behavior is one of the most important subjects in consumer behavior studies. Satisficing consumers select any affordable bundle of items with utility larger than their satisfaction threshold. This contrasts to maximizing behavior, where the consumer selects the bundle of items with the highest possible utility within his or her budget constraint. The authors hypothesize that, all else equal, satisficers will purchase more goods overall when compared with maximizers. Furthermore, satisficers will also purchase more disposable rather than durable goods because they are less concerned with maximizing the total value of their purchases. To test these hypotheses, an agent-based model of consumer behavior has been developed that allows for decision making based on either satisficing or maximizing rules. Satisficer agents use a modified genetic algorithm to find a satisficing bundle. Maximizer agents apply dynamic programming to find the best bundle of items. The aggregated results of consumer agents’ purchases support aforementioned hypotheses when consumers select from three types of products: 1) cheap disposable, 2) cheap durable, and 3) expensive durable. The hypotheses also hold when a more realistic set of items is constructed based on the common economic assumption that supply curves are upward sloping. In this latter case, consumers choose bundles from a total of 5 types of items, each of which differs in price, quality, and durability. Consumer Choice and Aggregate Demand: An ABM Approach to Understanding the Impacts of Satisficing Behavior","PeriodicalId":93648,"journal":{"name":"International journal of agent technologies and systems","volume":"18 1","pages":"1-18"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87668343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-10-01DOI: 10.4018/ijats.2014100103
S. Sankaranarayanan, S. Ganesan
Mobile phone usage and its adoption have been growing at exponential rates. It is this exponential growth rate that has led many to predict Mobile Commerce (M-Commerce) as the next major evolution of Electronic Commerce (E-Commerce). While M-Commerce comes rich with unique features, it is currently lacking in usage when compared to traditional e-commerce. There are many challenges that must be addressed in this respect. These challenges are mostly inherent in the mobile devices, communication network, legal and regulatory infrastructure. The use of agents in e-commerce has long been explored in the context, resulting in a number of agent based e-commerce systems. It is not surprising then to note that many researchers believe that the problems that the M-Commerce now faces can be addressed well using agent technology. While there is an abundance of information on the use of agent based systems in other areas, there has been no great surge yet in the use of agent based systems in real world M-Commerce applications. The authors believe that this slow adoption of this agent technology is due to a lack of standards. There has been a quite an amount of research work carried out in the use of software intelligent agents in the M-Commerce applications like Shopping, Hotel, and Airline industries. These are outlined in the paper with appropriate screenshots and descriptions.
{"title":"Applications of Intelligent Agents in Mobile Commerce: A Review","authors":"S. Sankaranarayanan, S. Ganesan","doi":"10.4018/ijats.2014100103","DOIUrl":"https://doi.org/10.4018/ijats.2014100103","url":null,"abstract":"Mobile phone usage and its adoption have been growing at exponential rates. It is this exponential growth rate that has led many to predict Mobile Commerce (M-Commerce) as the next major evolution of Electronic Commerce (E-Commerce). While M-Commerce comes rich with unique features, it is currently lacking in usage when compared to traditional e-commerce. There are many challenges that must be addressed in this respect. These challenges are mostly inherent in the mobile devices, communication network, legal and regulatory infrastructure. The use of agents in e-commerce has long been explored in the context, resulting in a number of agent based e-commerce systems. It is not surprising then to note that many researchers believe that the problems that the M-Commerce now faces can be addressed well using agent technology. While there is an abundance of information on the use of agent based systems in other areas, there has been no great surge yet in the use of agent based systems in real world M-Commerce applications. The authors believe that this slow adoption of this agent technology is due to a lack of standards. There has been a quite an amount of research work carried out in the use of software intelligent agents in the M-Commerce applications like Shopping, Hotel, and Airline industries. These are outlined in the paper with appropriate screenshots and descriptions.","PeriodicalId":93648,"journal":{"name":"International journal of agent technologies and systems","volume":"104 1","pages":"35-71"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90640608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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