Technology in Global Economy

Technology in Global Economy

 Technology in Global Economy

Instructions/Descriptions

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CHAPTER 13

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

Technology in Global Economy

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

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· 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

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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

 Technology in Global Economy

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