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CHAPTER 13

Management of Complex Systems: Toward Agent-Based Gaming for Policy

Information Technology in a GlobalEconomy

INTRODUCTION

· Simulating/Managing Social Complex Phenomena

· Leadership and Management in Complex Systems

· Serious Gaming

· Agent-Based Games for Testing Leadership and Management

· Single and Multiplayer Settings

· Summary and conclusions

SIMULATING AND MANAGING SOCIAL COMPLEX PHENOMENA

· Study of how people interact

· Scale prohibits experimentation with real populations

· Agent-Base modeling (ABM)

· Networked agents

· Each agent is an individual

· Interaction may modify agent behavior

· Managing complex phenomena introduces complexity

· Techniques to manage turbulent situations vary

· Technique success depends on responding to agent behavior

· Which may change based on interactions

LEADERSHIP AND MANAGEMENT IN COMPLEX SYSTEMS

· Traditional leadership research

· Generally focuses on single period in time

· Doesn’t address dynamic relationships

· Timing of leadership principle application matters

· Primary leadership functions

· Instructional and regulatory

· Developmental

· Simulations offer promise to help model leadership in complex systems

SERIOUS GAMING

· Applying gaming techniques to real life situations

· Flight simulators

· Effective for evaluating complex environments

· Player must interact with multiple actors and situations

· Currently used for side range of training applications

· Leadership use

· Deterministic – limited scope

· ABMs in serious gaming can help understand more complex

interactions

AGENT-BASED GAMES FORTESTING LEADERSHIP AND MANAGEMENT

· ABM games with autonomous AI population

· Test leadership style effectiveness

· Explore which styles work best in different situations

· Determine the best choice for a given scenario

· Current state of the art is more conceptual

· Advances needed in interfaces

· Need to allow users to interact with simulation

· Keep players engaged

BEHAVIOR IMPACTED BY MULTIPLE FACTORS

SINGLE AND MULTIPLAYER GAMES

· AI may react poorly to management input

· Simulating unexpected consequences of decisions

· Overactive AI may degrade realism

· Players can dynamically see how decisions affect others

· Early simulations allow for only single players

· Multiple real players adds more realistic interaction

· Players replace someAI

· Players interact with each other andAI

SUMMARY AND CONCLUSIONS

· ABM-based gaming can measure behaviors of players

· Supports experimentation in controlled environment

· Study leaderships and management in complex systems

· Focus

· Interaction with leadership

· Interaction with players as a result of leadership action