...Science RESEARCH PAPER Available Online at www.jgrcs.info A MULTI AGENT BASED E-SHOPPING SYSTEM Sougata Khatua*1, Zhang Yuheng 2, Arijit Das 3 and N.Ch.S.N. Iyengar 4 School of Computing Science and Engineering, VIT University, Vellore-632014, Tamil Nadu, INDIA sougatakhatua@yahoo.com*1, yuer.zhang1987@gmail.com2, arijitdasmid@yahoo.com3and nchsniyengar48@gmail.com4 ------------------------------------------------- Abstract: Current e-shopping systems use the Internet as its primary medium for transactions. e-shopping has grown in popularity over the years, mainly because people find it convenient and easy to buy various items comfortably from their office or home. This paper has proposed a personalized e-shopping system, which makes use of agent technology to enhance the automation and efficiency of shopping process in Internet commerce. The agent technology is used to enhance the customer‟s needs which include availability, speedy response time, and efficiency. Agent for e-Shopping creates connectivity on an anytime-anywhereany-device-basis to provide the specific goods required by the consumers based on transaction cost optimization and scalability. The client agent connects with the controller agent which controls all the agent information. The controller agent sends the item information to the client agent and the client chooses items and puts in to the shopping cart. Finally the conclusion shows that the system performs efficiently and can help customers to save enormous...
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...jonker@tudelft.nl Tim Verwaart LEI Wageningen UR tim.verwaart@wur.nl Keywords: trade, culture, agents, uncertainty avoidance, negotiation Abstract A model is presented of the way that our cultural attitude towards the unknown influences the decisions we make in trade. Uncertainty avoidance is one of Hofstede’s five cultural dimensions. The paper presents a model of how this dimension affects trade. This influence has been explicated for the decisions regarding trade: partner selection, negotiation behavior, trust, and the interpretation of the trade partner’s behavior. It has been verified in simulations showing that the generic tendencies as attributed to uncertainty avoidance are reflected in the simulation results. Our approach is an example of instantiating generic knowledge on the influences of culture on decision-making in general. INTRODUCTION The international food economy is rapidly changing. Important issues are concentration and globalization, growing information intensity, consumer demands, and social responsibility [Kinsey 2001]. An important issue in current food trade research is the emergence and performance of international supply chain networks [Lazzarini et al. 2001]. Agent-based modeling extends the understanding of processes in society and economy. It enables simulation of the emergence of macro-level phenomena from micro-level interactions between individual agents [Tesfatsion and Judd 2006]. It is therefore well-suited for modeling the emergence and performance...
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...no.3, pp.238-249, 2004. Emerald Publishers. An agent-based intelligent environmental monitoring system Ioannis N. Athanasiadis and Pericles A. Mitkas ABSTRACT Fairly rapid environmental changes call for continuous surveillance and on- line decision- making. Two areas where IT technologies can be valuable. In this paper we present a multi-agent system for monitoring and assessing air-quality attributes, which uses data coming from a meteorological station. A community of software agents is assigned to monitor and validate measurements coming from several sensors, to assess air-quality, and, finally, to fire alarms to appropriate recipients, when needed. Data mining techniques have been used for adding data-driven, customized intelligence into agents. The architecture of the developed system, its domain ontology, and typical agent interactions are presented. Finally, the deployment of a real-world test case is demonstrated. Keywords : Multi-Agent Systems, Intelligent Applications, Data Mining, Inductive Agents, Air-Quality Monitoring Introduction Environmental Information Systems (EIS) is a generic term that describes the class of systems that perform one or more of the following tasks: environmental monitoring, data storage and access, disaster description and response, environmental reporting, planning and simulation, modeling and decision- making. As the requirements for accurate and timely information in these systems are increasing, the need for incorporating advanced...
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...On Exploiting Agent Technology in the design of Peer-to-Peer Applications Steven Willmott, Josep M. Pujol and Ulises Cort´s e Universitat Polit`cnica de Catalunya e a Llenguatges i Sistemes Inform`tics Campus Nord, M´dul C5-C6, C/Jordi Girona 1-3, Barcelona (08034), Spain o {steve, jmpujol, ia}@lsi.upc.es Abstract. Peer-to-peer (P2P) architectures exhibit attractive properties for a wide range of real world systems. As a result they are increasingly being applied in the design of applications ranging from highcapacity file sharing and global scale distributed computing to business team-ware. The objective of this paper is to outline a number of areas in which Agent techniques for the management of social problems such as decision making or fair trading amongst autonomous agents could be used to help structure P2P actions. In particular we focus on approaches from mechanism design, argumentation theory and norms / rules and electronic institutions. 1 Introduction Peer-to-peer (P2P) architectures exhibit attractive properties for a wide range of real world systems. As a result they are increasingly being applied in the design of applications ranging from high-capacity file sharing and global scale distributed computing to business team-ware. In addition their benefits however, P2P systems also fundamentally change the networking paradigm used in an application often causing tensions with other application goals such as security, predictability, performance guarantees...
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...Project group “Learning Agents in Dynamic Environments III” Homework “Reinforcement Learning” Multiagent Reinforcement Learning Michael Baumann, Timo Klerx 06-Nov-2012 Foreword 23-Nov-2012, 11:59 PM Hand in your solutions as PDF and the source code (whole eclipse project) as zip archive via eMail. 27-Nov-2012 Presentation and discussion of your results. Scenario Consider the scenario shown in Figure Figure 1: The two agents should learn to reach their respective goal area as fast as possible. Although there are explicit start areas, the learned policy should cover all possible states. Admissible actions for the agents are moving one cell in one of the four cardinal directions. If an agent tries to leave the world or crashes into a wall, it remains on its position. The same holds for collisions between agents: on each cell at most one agent is allowed and thus, both agents remain on their positions, if they would collide. This rule implies, that only one agent can pass the small opening at a time! An episode ends either if both agents are situated on their goals region or after imax iterations. Exercises 1. Discuss the following strategies for giving reward and choose one for your model / your implementation: a) Each agent gets an individual reward, i.e. agent Aj gets reward rj when it reaches goal Aj . b) Both agents get an identical reward r if both agents are on their correct goals. 1 Goal A2 Goal A1 1 2 Start A1 Start A2 Figure 1:...
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...Running head: PROJECT PORTFOLIO Project Portfolio Project Portfolio ExxonMobil is one of the largest publicly traded petroleum and petrochemical enterprises in the world. It started out as a regional marketer of Kerosene. They have three familiar brand names which are: Exxon, Esso and Mobil. The first oil well was built in 1859 (exxonmobil.com). ExxonMobil uses different types of technology every day like surveillance, network computers, communication devices, etc. Being a big corporation like this requires an IT Department. We’ve learned these past eight weeks about the use of technology tools, Porter’s Five Forces Model, Agent based technologies, business planning, and technology in present and future. Throughout this paper I will relate the information that I have learned and talk about how these areas can help it remain a competitive business. People, Information and Information Technology play an important role when it comes to helping the company remain competitive in the industry. ExxonMobil tries to teach their employees to have the best technical and leadership capabilities. They provide their employees with formal training and a broad range of global experiences to prepare them to be the next generation of ExxonMobil leaders. Not only do they want to hire exceptional employees at the corporate headquarters, but also at all their branch locations as well. The employees throughout the organization set goals, carry out tasks, make decisions, and serve customers...
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...Artificial Intelligence 1. Explain how Intelligent Agents influence the development of applications or Software. The Intelligent Agents are used in the creation of machines (hardware / software) to display intelligent behavior. Such systems can be simply personal computers; or may be robots. To perform tasks that if a human's conduct, require hard work and a high level of concentration and intelligence. 2. Identify and explain as a model of software engineering for distributed systems using Intelligent Agents. The Software Engineering model uses the following features of an Intelligent Agent: reasoning abilities, skills, services, sensors, effectors, groups they belong and class. ABLE is an example; is a tool for building IBM Systems Intelligent Agents where its entirety, including agents, are constructed by composition AbleBeans, an extension of JavaBeans. Interest are a set of specialized systems that implement AbleBeans statistical learning (self-organizing maps, neural networks, connection maps) and symbolic control (forward chaining reasoning and predicate logic). ABLE also incorporates a visual development environment where AbleBeans interconnect. The interest of this platform is that visually solves the construction and communication of agents. 3. When does an agent is considered autonomous? The main point about the agent is that they are independent: able to act independently, exhibiting control over their internal state. 4. Analyze each of the following...
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...each having unique application in emergency management related practices. These scans are than turned into 3D images, and exported to software for manipulation by professionals. In an article entitled “Urban three-dimensional (3-D) Roads Surface Reconstruction based on a Data Assimilation Algorithm Using a Mobile Laser Scanning (MLS) System” by Chen and He stated that “As scientists, engineers and planners require ever more detailed information about our urban areas the requirement for accurate three-dimensional (3D) mapping of road and city structures is likely to increase considerably in the years to come.” It is important for emergency managers to stay aware of, and apply new technologies that can improve planning and response. A 3D scanner is a device that collects three-dimensional data about a real-world object or environment including its shape and/or its appearance, including color, texture or even material type. The collected data can than be used to construct digital three-dimensional models. After a scan is complete, the information gathered is formed in to point clouds which are sets of data points, in a 3D dimensional coordinate system, these points are defined in (X, Y, Z) coordinates, and usually represent the external surface of an object. This provides a digital representation of the object, or area that was scanned. Because...
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...every year http://www.transparency.org/cpi2014/results Criterion You should use the 7 criteria from the course textbook to structure your profile (pg 64): 1. Type of economy: Is the nation an advanced industrial state, an emerging economy, a transition economy, or a developing nation? 2. Type of government: Is the nation ruled by a monarchy, a dictatorship, or a tyrant? Is the nation dominated by another state, or is it a democracy with a multiparty system? Is it an unstable or terrorist nation? 3. Trade and capital flows: Is the nation characterized by almost completely free trade or incomplete free trade and is it part of a trading bloc? 4. The commanding heights: (e.g. the transportation, communications and energy sectors) Are these sectors state owned and operated? Is there a mix of state and private ownership? Are they all private, with or without controlled prices? 5. Services provided by the state and funded through taxes: Are pensions health care and education provided? Do privatized systems dominate? 6. Institutions: Is the nation characterized by transparency, standards, the absence of corruption, and the presence of a free press and strong courts? Or is corruption a...
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...Simulation of Intersection Signal Control based on Multi-agent Jian Zhang Ling Yan Yin Han Gao Song Xue-li Fang Traffic Engineering Research Institute Business School, University of Shanghai for Science and Technology Shanghai 200093, China E-mail:08zhangjian@gmail.com Abstract—On the basis of analyzing development actualities and trends of urban traffic control system, this paper applied the modeling idea and method of multi-agent, constructed an intersection agent, a section agent and a phase agent for isolated intersection control system based on multi-agent technology, studied their structure, function and each agent’s mission, and discussed the relationship among the three types of agent. By control simulating of three actual intersections, it is indicated that the control effect based on multi-agent is much better than the effect of fix-time. The results indicate that the multi-agent technology is an effective method to improve the effect of the current traffic control system, has research value and application value. Keywords-adaptive traffic signal control system; multi-agent; intersection agent; section agent; phase agent artificial intelligence technology, traffic signal control system is developing gradually in the direction of intelligent direction and integrated direction, the research on Intelligent Urban Traffic Control System based on the distribution-coordination has become a new trend[1,4]. Luckily, the agent technology[2,5,6,7] provides an ideal method to...
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...International Journal of Scientific & Engineering Research Volume 3, Issue 3, March -2012 ISSN 2229-5518 1 A Distributed Transaction Model for a Multidatabase Management System Omar Baakeel and Abdulaziz Alrashidi Abstract— This paper examines the distributed transaction issues that are present in multi-database management systems (DBMSs) and how the distributed transaction in database technology differs from other distributed processing systems. Some common issues that arise with the distribution of transactions over a multi-DBMS while dealing with concurrency control and recovery are highlighted, such as site failure, network failure, and time failure. This study proposes an exceptional distributed transaction model for processing transaction queries in multi-DBMS based on the idea that a complete database can be constructed at any stage. Index Terms— Database management system (DBMS), distributed transaction, transaction management, transaction network —————————— —————————— 1 INTRODUCTION ENERALLY, a distributed transaction is defined as a transaction that updates data on two or more networked computer systems. Different conceptual structures for processing transaction elements are required to meet certain needs of applications that must update distributed data in terms of peer to peer connection. Developing a transaction model is difficult because most of these techniques are customized for a single transaction point, and many types of failures, such as client failure...
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...in similar ways but has been advanced. Border Patrol uses their aircraft equipped with video, radars, and other sensor technologies to patrol the border, conduct surveillance, and to gather data ("DHS/CBP/PIA-018 Aircraft Systems"). For example, the P-3 Airborne Early Warning and Long-Range Tracker Maritime Patrol Aircraft scans 200,000 miles with sensors, detecting for...
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...Global Multi-Products Chile “They want to sell integrated solutions but are not integrated themselves” The company’s vision was to be the most innovative enterprise and the preferred supplier and the preferred supplier by developing technologies and products that created a new basis of competition and by helping customers grow their businesses. STEEPLE factors have a massive impact on how things turnout for a company in a particular country. Multi-Products Inc. encountered many problems in Chile as well. Socially, Chilean culture tends to be more reserved. People here are self-centered and don’t look beyond their immediate circle of friends and family. Difference in educational backgrounds and differences regarding recent political history have polarized society. Technology plays a pivotal role as well in bringing in clients and aligning work in an integrated system. When one looks at how Chile has moved from a command economy to a market economy you can actually look at the massive change that has taken place. Numerous companies have been privatized after decades of being in the public sector. U.S retailors that have moved in from North America have also caused a change in nature of Chilean retailors. Environmentally, small central area dominates in terms of population, north Chile has mineral wealth and the southern region is rich in forests and grazing lands. Politically, Chile moved to having a very stable government compared to the anarchy in the pre-90’s era. Chilean...
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...National Scholarship; Merit Student in Heilongjiang Province (Top 5/180). College of Ship Engineering, Harbin Engineering University (HEU) Harbin, China B.S., Naval Architecture & Marine Engineering│GPA 3.65/4.00 Sept.2008 ~ Jun.2012 Minor, Business Administration│GPA 3.53/4.00 Sept.2010 ~ Jan.2012 nd Awards: Graduation with Honors, Merit Student, 2 Class Scholarship and etc. (7times). PROFESSIONAL EXPERIENCE PROJECT EXPERIENCE Scheduling Modeling & Coordination Mechanism Based on MAS for Marine Equipment Project Researcher│China Natural Science Foundation Project Jun.2013 ~ Jun.2014 Built scheduling model and coordination mechanism based on Multi-agent System (MAS) theory. Developed a collaborative scheduling system using Oracle database and MyEclipse. Designed Improved Genetic Algorithm (IGA) for multi-objective scheduling under resource conflicts. Information Management Technology of Jack-up Drilling Platform Construction Analyst│China National 12th Five-year Plan Major Scientific Project Mar.2013 ~ Jun.2014 Collected, organized and summarized data and materials and made presentation for review meetings. Made needs analysis for scheduling and cost management. Construction Management Software Development of Floating Platform Project Responsible Person│National High-tech Ship Engineering Project Mar.2012 ~ Mar.2014 Conducted investigations to make analysis of process...
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...as reading electrocardiograms. With artificial intelligence, we have been able to reduce the time that it takes an actual human to do something. These systems are in place so that we spend more time on the more critical things. There are four types of artificial intelligence. The four types are expert systems, neural networks (and fuzzy logic), genetic algorithms, and agent-based technologies. All of the these systems have their benefits as well as their not so good features. For starters, we will examine expert systems. Expert systems, which is also referred to as knowledge-based systems, is an artificial intelligence system that applies reasoning capabilities to reach a conclusion. These systems are used for diagnosing problems. They also help with coming up with a solution to the problem. These systems are built for a specific domain that they will be ran on. The knowledge base for these systems contain both factual and heuristic knowledge. This means that the factual information could be found in textbooks while the heuristic information is going to be derived from experimental cases. Systems of this nature are widely used. They can be found in accounting firm for tax planning and in hospitals for diagnosing diseases. The experts found a way that the system could search the internet for the answers that it needed. The systems would gather the facts and then the computer...
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