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SWOT Analysis on Critical Thinking
StrengthWeaknessOpportunityThreats
I want you to develop a SWOT Analysis on
the ownership and use of a cellphone.
Strength - what are the strengths andbenefits of cellphone
ownership and use.
Weakness - what are the weaknesses and downsides of
cellphone ownership and use.
Opportunity -what opportunities do cellphone ownership and
use present?
Threats - what threatsdo cellphone ownership and use present?
Use your personal thoughts and experiences to develop your
arguments. If you reference another source, provide the proper
APA format at the bottom of your paper.
ITS 832
Chapter 13
Management of Complex Systems:
Toward Agent-Based Gaming for Policy
Information Technology in a Global Economy
Professor Miguel Buleje
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
• Agent Based Modeling (ABM)s in serious gaming can help
understand more complex interactions
Agent-Based Games for Testing
Leadership and Management
• Agent Based Modeling (ABM) games with
autonomous Artificial 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
• Opportunity to 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 some AI
• Players interact with each other and AI
Summary and Conclusions
• Agent Based Modeling (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

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SWOT Analysis on Critical ThinkingStrengthWeaknessOpportunityThr.docx

  • 1. SWOT Analysis on Critical Thinking StrengthWeaknessOpportunityThreats I want you to develop a SWOT Analysis on the ownership and use of a cellphone. Strength - what are the strengths andbenefits of cellphone ownership and use. Weakness - what are the weaknesses and downsides of cellphone ownership and use. Opportunity -what opportunities do cellphone ownership and use present? Threats - what threatsdo cellphone ownership and use present? Use your personal thoughts and experiences to develop your arguments. If you reference another source, provide the proper APA format at the bottom of your paper. ITS 832 Chapter 13 Management of Complex Systems: Toward Agent-Based Gaming for Policy Information Technology in a Global Economy Professor Miguel Buleje Introduction • Simulating/Managing Social Complex Phenomena
  • 2. • 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
  • 3. • 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 • Agent Based Modeling (ABM)s in serious gaming can help understand more complex interactions Agent-Based Games for Testing
  • 4. Leadership and Management • Agent Based Modeling (ABM) games with autonomous Artificial 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 • Opportunity to 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 some AI
  • 5. • Players interact with each other and AI Summary and Conclusions • Agent Based Modeling (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