Research Journal of Engineering and Technology

M. Venu Gopala Rao ¹, M. Babita Jain ¹, Purvi Shukla ¹

Affiliations
1 Raipur Institute of Technology, Raipur, IN

Abstract

In artificial intelligence research, agent-based systems technology has been hailed as a new paradigm for conceptualizing, designing, and implementing software systems. Agents are sophisticated computer programs that act autonomously on behalf of their users, across open and distributed environments, to solve a growing number of complex problems. Increasingly, however, applications require multiple agents that can work together. A multi-agent system (MAS) is a loosely coupled network of software agents that interact to solve problems that are beyond the individual capacities or knowledge of each problem solver. There are many such real time applications which are very complex and beyond the scope of individual problem solver such as computer games simulation, population explosion problem, simulation of share market trading, aircraft maintenance, electronic book buying coalitions, military demining, wireless collaboration and communications, supply-chain management, joint mission planning and electronic commerce (online trading). The paper aims at developing a agent based architecture for supporting online trading using the multi agent systems platform. The present work has successfully implemented one such agent based environment for online fruit trading comprising of broadly three agents. This case study describes the implementation of a sample marketplace application called 'Fruit Market'. The objective is to enable the market participants to electronically trade tasty fruit over a network via their agents. Once we have a specification, the desired system can be situated within a domain that contains similar features and challenges. As the agents will exhibit trading behavior it is obvious that this application is best situated within the Multi-Agent Trading domain. This domain contains two role models: Distributed Marketplace and Institutional Auction, hence the next step is to consider which roles from the domain's role models best fit our specification. The details of selection of roles and responsibilities and implementation of agent architecture are discussed in the paper.

Keywords

Artificial Intelligence, Multi Agent Systems, Agent, and Agent Based Simulation.

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M. Venu Gopala Rao ¹, M. Babita Jain ¹

Affiliations
1 Raipur Institute of Technology, Raipur, IN

Abstract

As the market becomes more complex with innumerable parameters changing the complexion and making it dynamic, an absolute decision-making model turns out to be obsolete every time one seeks to get advice from it. To this effect, a dynamic decision-making model is the need of the hour which would consider every conceivable change resultant of every probable effect of any one of the known parameters. It is a general perception that remedial measures to large extent can be directly found from the decision analysis of the causes investigated. Instead of having an instant temporary remedial measure for defects, a concurrent engineering model is proposed and developed starting from defect interpretation where critical distinction of various NDT methods is made and a suitable NDT method is suggested to suit the requirement along with identifying the defect from the huge database in which types of defects and its characteristic appearances are stored. It indeed identifies the defect based iterative approach leading to systematic investigation into possible causes, there by setting up the base for remedial measures taking into consideration primarily from the material selection, processing and heat treatment thus suggesting optimum design of gating and risering, pattern in case of castings and forging dies, flash and gutter in case of forgings. Of all the processes heat treatment in general and, tempering, hardening in particular has been short listed for detailed investigation. These processes have been modeled mathematically for variations of various mechanical properties by the use of practical data. The results in the form of equations and graphs have been documented in the manuscript and were also incorporated in the automated format.

Keywords

Concurrent Engineering, Quality Control, Defect Interpretation, Defect Analysis.

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