Descriptions of real-world intelligent agent and multiagent systems deployed to real-world applications, including:

• novel applications of MAS systems,

• novel inspirations for deployed MAS-based solutions,

• novel uses of intelligent agents,

• prototypes of developed systems, and

• results from existing deployments

Real-World Challenges to Deploying Applied Agent Systems, including:

• modeling and addressing complex environment properties (multiple sources and high levels of uncertainty, noise, non-stationarity, real-time constraints, limited resources),

• needs for security, robustness, and scalability, and

• evaluating the correctness, effectiveness, and efficiency of deployed systems

Lessons learned from deployed (or emerging) systems, including:

• why a particular deployment might or might not have succeeded (or would have succeeded with important changes uncovered in hindsight),

• how improvements might be made to the system for future deployments, and

• how new tests might be conducted to better evaluate or test the system

Testbeds for applied agent systems, including:

• custom or reusable testbeds for evaluating agents in simulated real-world environments,

• challenges associated to developing such testbeds and in properly evaluating real-world performance,

• types of problems that can be studied using such testbeds, and

• comparative studies of testbeds in investigating issues of applied agent systems