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  1. Home
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Browsing by Author "Swati Basak"

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    PublicationConference Paper
    Agent based modeling of individual voting preferences with social influence
    (2011) Vivek Kumar Singh; Swati Basak; Neelam Modanwal
    Agent Based Modeling (ABM) is usually referred to as the third way of doing modeling & simulation in contrast to the historically popular equation-based macrosimulations and microsimulations. In ABM a system is modeled as a set of autonomous agents who interact with each other and also with the environment. The agents represent various actors in the system and the environment represents agent's surroundings and the overall context. ABM has been successfully applied to model and analyze a number of complex social processes and structures, ranging from habitation patterns to spread of culture. In this paper, we present our experimental work on applying ABM to model individual voting preferences. The model explores process of formation of voting preferences, the factors governing it and its effect on the final voting pattern. We have incorporated social influence theory in our model and experimented with various settings. The paper concludes with a short discussion of the results and their relevance. © 2011 Springer-Verlag Berlin Heidelberg.
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    Intelligent profitable seller agent categorization and negotiation in E-Commerce by using data mining method
    (2012) Bireshwar Dass Mazumdar; Kamal Sheel Mishra; Swati Basak
    Multi agent system (MAS) model has been extensively used in the different tasks of E-Commerce such as customer relation management (CRM), negotiation and brokering. This paper presents Data Mining (DM) based seller agent categorization and a multi-attribute negotiation approach for negotiation between buyer and seller agents of same category provided by DM result. The paper also described a multi-attribute based utility model which is based on the price, response-time, and quality. In support of the presented approach a prototype system providing negotiation between buyer agents and seller agents has been reported. © 2012 IEEE.
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    MAS coordination strategies and their application in disaster management domain
    (2011) Vivek Kumar Singh; Neelam Modanwal; Swati Basak
    Multi-agent System (MAS) formulations have been developed and explored in the past in a variety of domains, ranging from optimization problems to game theory. However, there are certain issues that are common across all the domains. Cooperation and coordination of agents in MAS is one such important area. In this paper, we have first presented a very brief survey characterizing the cooperation and coordination strategies that have been frequently used. Thereafter the paper progresses to explore the applicability of MAS formulations in disaster management domain. We have identified the characteristics and requirements of disaster management domain; described the ways in which MAS formulations can be used in this domain; and presented the preliminary results of our simulation experiment of a greedy approach to disaster recovery. © 2011 IEEE.
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    PublicationConference Paper
    On agent mediated coordination strategies and its application in disaster management system
    (2012) Swati Basak; Bireshwar Dass Mazumdar
    Multi-agent System (MAS) formulations have been developed and explored in the past in a variety of domains, ranging from optimization problems to game theory. However, there are certain issues that are common across all the domains. Cooperation and coordination of agents in MAS is one such important area. In this paper, we have first presented a very brief survey characterizing the cooperation and coordination strategies that have been frequently used. Thereafter the paper progresses to explore the applicability of MAS formulations in disaster management domain. We have identified the characteristics and requirements of disaster management domain; described the ways in which MAS formulations can be used in this domain; and presented the preliminary results of our simulation experiment of a greedy approach to disaster recovery. © 2012 IEEE.
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