Essay on Multi-Agents for Decision Support Systems in E-Systems

4. Decision support systems - help the developers of an AIS identify what information they

Decision support systems (DSSs) help professionals make decisions by determining the most favorable options to a “What if?” question. Using raw data, DSSs can make comparison and generate new information to assist in decision making.

Implementing Decision support system (DSS) can benefit greatly in a business and strengthen the bond to its customers and its employees. For instance, Kudler would benefit greatly with the usage of a DSS to its advertisement team because allowing what-if analysis could grow the business remarkably.

Clinical Decision Support Systems is a helpful and beneficial aid the healthcare industry decision making. Clinical Decision Support Systems is needed in majority of healthcare processes. The healthcare system is considered to be one of the largest industries in the United States. The services that healthcare providers provide are endless. The Clinical Decision Support Systems use tools and systems in order to determine different scenarios of how to explore the risk associated with different situations. There has been a large increase in the amount of technology that is used and there is higher need for decision making to be integrated in the healthcare operations.

Multi-agent technology however has shined in this area due to its ability to solve problems and/or make a new revolution in the development and analysis of software (Cardoso et al., 2014).

Decision making refers to the process of finding and selecting options according to the priorities and values of the person making the decision. Since there are many choices involved, it is important to identify as many options as possible so as to pick the option that best fits a company’s target, goals, values and vision. Due to the integral role of decision making in company growth and financial progress, many firms such as Amazon.com and EBay are pumping in huge investments in business intelligence systems, which are made up of certain technological tools and technological applications that are created for the purpose of facilitating improved decision making process in

Decision making models can be very helpful in analyzing a problem and setting up a step by step process to evaluate and come to a favorable conclusion. Recently there has been a problem at my agency with scheduling and the

Roles in supporting goals and objectives 4.3. Decision Support System Components 4.3.1. Systems proposed 4.3.2. Why this technology 4.3.3. Roles in supporting business goals and objectives 4.4.

Decision making is the study of identifying and choosing alternatives based on the values and preferences of the decision maker. It is also an important part of doing a better business Moreover, using appropriate IT software and spreadsheets for data analysis and the

The database is a collection of related data that is organized in some way so it can be accessed easily and can be managed & updated. Relational database management system (RDBMS) is DBMS system that is based on relational model. In this model, data is represented in tuples. The query is the type of request for the information from the database. Database report is the formatted result of the query & contains data for decision analysis & making. Decision support system is an information system that supports the decision-making activities of the business or an organization.

Decision support system can be built with requirements gathered from transaction processing system and analyzing them through analytical model to support non-routine decision making. However since building analytical model requires lots of research and gathering information regarding different factors we consider this as implementable in future after required information’s are gathered.

Decision Support Systems provide business owners with business intelligence necessary to remain competitive and operate profitably. An owner of music store needs access to many different types of data to predict customer’s needs and ensure the appropriate inventory will be in stock when needed. Too much inventory will drain financial resources and take up valuable shelf space and, in contrast, not having the inventory customers want will result in missed opportunities for sales. The Decision Support System for a music store would provide the most value to its owner if all features can be easily utilized, both internal and external data can be stored, and data can be easily analyzed.

GAME AGENTS In games, the purpose of AI is to create an intelligent agent, referred as a non player character (NPC). This agent acts as an opponent, an ally, or as a neutral entity in the game world. The heart of artificial intelligence is a gaming agent.

Decision support systems (DSS) are computer technology solution that can be used to support complex decision making and problem solving. DSS technology developed over the past four decades to assist better decision making for difficult and complex structured, semi-structured, and unstructured decisions (Hosack, Hall, Paradice, & Courtney, 2012). DSS once supported individual decision-makers, but later DSS technologies were applied to workgroups or teams, especially virtual teams (Shim et al., 2002). Previously, DSS utilized more limited database, modeling, and user interface functionality, but as the technology innovation leading in the information age, the DSS functionality will be more powerful and possible. In the future, DSS development will be more focused and trending in Web-based DSS, Group support systems (GSS) or collaboration support systems, Knowledge Management DSS, Mobile computing and Social Media DSS.

When organizations are implementing information systems with clinical decision support, they hold on to these "ten commandments" for successful clinical decision support. The creators trust that the key apparatus for health care will be data frameworks that give decision support to clients at the time they decide, which ought to bring about enhanced nature of consideration. Moreover, suppliers make numerous blunders, and clinical decision support can be valuable for finding and anticipating such mistakes. In the course of the most recent eight years the creators have actualized and examined the effect of decision support over a wide cluster of areas and have found various regular components