Industrial and Practical Application of DAI 컴퓨터공학과 이영민

Introduction Successful application of agents must satisfy two perspectives the researcher : demonstrate usefulness the practitioner : cost-effectiveness Agent applications in manufacturing and physical control

Contents 2. Why Use DAI in Industry? 3. Overview of the Industrial Life-Cycle 4. Where in the Life Cycle Are Agents Used? 5. How Does Industry Constrain the Life Cycle of an Agent-Based System? 6. Development Tools 7. Conclusions

Why Use DAI in Industry? Modular Decentralized Changeable Ill-structured Complex

Overview of the Industrial Life-Cycle Requirements Definition Specification Design Implementation Commissioning Decommissioning

Useful questions in comparing different agent applications Individual agent what in a system becomes an agent? how does each agent model the world? how are agents structured internally?

Cont’d Community of agent how many agents are there? what communication channels do agents use? what communication protocol do agents use? how is the configuration of agents relative to one another established? How do agents coordinate their actions?

Cont’d maturity of the application ( 6 levels ) 1. Modeled 2. Emulated 3. Prototype 4. Pilot 5. Production 6. Product

Where in the Life Cycle Are Agents Used? in Product design RAPPID in Planning and Scheduling AARIA Daewoo in Real-time control Zone Logic

RAPPID Designers and design variables are agent

Cont’d Technology used : set-based reasoning market protocols among designers

AARIA Resources, part types, unit processes, and engagements between a unit process and its resources are agents

Zone Logic Complicated parts manufactured on a machine called transfer line in traditional environment, the productivity is at most 50% Zone Logic-controlled machine can achieve 90% productivity Zone Logic makes each mechanism in the transfer line an agent

Constraints on the Life Cycle of an Agent-Based System Requirement, Positioning, and Specification Design conceptual analysis role-playing formal analysis

Cont’d System implementation hardware standards Z-world’s C-based offerings LonWorks Flavors PIM standards NIIIP, FIPA DeviceNet

Development Tool as A single reactive process : IBM’s ABE as Capitalists : Algorics’s Joule as Travelers : IBM’s Aglets as Members of community : Gensym’s ADE, Metra’s UNITY_Agent as Intelligent Processes : dMARS, d-MUSE, ABS

Conclusions The Systems must be practical, and the tools used to develop them must be packaged For engineers in industry, agent technology is a means to an end, tool. The big open issue in Application of DAI is the instantiation of the techniques that develop in standards