Intelligent Decision Support Systems in Agent-mediated Environments
Gloria E. Phillips-Wren, L. C. Jain
IOS Press, Jan 1, 2005 - Business & Economics - 211 pages
Research has shown that harassed decision makers in decision support technologies for real-time and uncertain decision problems, often ignore crucial information, use inefficient strategies, and generate fewer alternatives. Examples of such problems are such as medical emergencies, traffic flow and military applications. Despite significant research on decision making support, researchers are limited by a narrow understanding of the most effectual methods to support decision-making in real-time and stressful situations. These decision problems often require up-to-the-minute information, dynamic response and conflict resolution. Intelligent software agents offer one approach to operationalizing a decision making support system in these circumstances by providing an environment that can adapt to speed and change. While there are no agreed upon criteria for determining whether a program is a software agent, in general, agents act on behalf of someone. Thus, an agent is a software package that carries out tasks for others autonomously, with the others being human users, business processes, workflows or applications.Broadly stated, to achieve common goals, agents need to communicate, coordinate and cooperate with both the human user and other agents. This book is concerned with intelligent agents that are embedded in decision support systems and used to mediate the decision making process.
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action agent communication Agent Communication Languages agent technology Agent_l applications automated autonomous buyer C2IEDM capabilities Collaborative Command and Control context Coordinating Agent CyberCollaboratory database decision outcomes Decision Support Systems defined developed dialogue games distributed DoDAF domain dynamic e-Commerce Emergency Operations Bureau environment facilitator Figure FIPA function GDSS goal group decision group meetings group members Idea Organization IJDSS implementation information model input intelligent agents intelligent software agents interaction interface Internet interoperability JADE KM solutions knowledge base knowledge management knowledge representation KQML layer locution MASVM Mean meeting flavor mode module multi-agent systems Nash Equilibrium ontology participants peer-to-peer peers perform problem protocol representation requirements seller semantic Web service service-oriented architecture session Sheriff Station simulation software agents specific Store Update strategies system architecture tasks TEGRID utilize Vendor Web Ontology Language