Solving complexity has been a continuing goal of application architects & developers since we started writing programs. While SOA techniques do a great job at standardizing the interface between systems and BPEL attempts to standardize the logic flow between services, they tend to break down when systems become overly complex and uncertainty is introduced into the system. An Agent-Oriented Goal-Seeking approach to building applications has been shown to reduce the complexity of building major real-world applications and to reduce total development time by up to 75%. Goal-seeking agents dynamically execute services based on goals, rules, and plans instead of traditional explicitly coded logic paths. As this session will show, Agent-Oriented development is backed by both cutting-edge computer-science research as well as real-world case studies. This session introduces goal-seeking agents and covers several case studies showing how they can be used to dramatically simplify complex programming situations and allow you to deliver applications faster.

• Seeking Mainframe Alternatives - for Agility and Profit