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Methods for Coalition Formation in Adaptation-Based Social Networks Levi Barton, Vicki H. Allan Utah State University.

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Presentation on theme: "Methods for Coalition Formation in Adaptation-Based Social Networks Levi Barton, Vicki H. Allan Utah State University."— Presentation transcript:

1 Methods for Coalition Formation in Adaptation-Based Social Networks Levi Barton, Vicki H. Allan Utah State University

2 Overview Optimal Coalitions Dynamic Environment Agent Organized Network Agent Types Results Conclusions Questions

3 Optimal Coalition Formation Requires Complete Information Substantial Computation Time May Not Be Feasible

4 Dynamic Environment Incomplete Information –Limited Sensor Capabilities –Damaged Sensors –Communication Failures

5 Dynamic Environment Agents –Limited View of Environment –Discovery of Environment Tasks –Periodic Creation –Decreasing Value –Time Sensitive

6 Agent Organized Network Agents in Charge –Choose Neighbors –Choose Tasks

7 Agent Organized Network Network Arcs –Physical Distance –Limited Communication –Trust –Potential Team Members

8 Agent Organized Network Initial Network Arcs –Random Agent Locations –Distance Between Agents d –Arcs Added When d < 100

9 Agent Organized Network Tasks –Require Specific Skills –Specified by Array skillCount[1,…,skillMax]

10 Agent Organized Network Agents Paired to Tasks in Teams –Agent Team Connected in Network –Teams Formed Using Set of Friends of a Friend (FOAF) –FOAF Agent Set of Preferred Neighbors

11 Agent Organized Network Agent Skills –One Skill Per Agent Neighborhood Skills –Skills Possessed by Neighbors and Neighbor’s Neighbors (FOAF)

12 Agent Organized Network Agent Flow of Control

13 Rewiring Strategies Performance –Rewire Based on Performance Estimate Structural –Rewire Based on Network Structure Diversity –Rewire Based on Skill Diversity

14 Task Selection Basic –Select First Available Task Strategic –Select Best Available Task (If Ratio of Skills Needed in Task and Skills Available in Neighborhood is > 0.34)

15 Task Patience Patient –Remain Committed To Task Until Task Either Succeeds or Fails Impatient –Abandon Task if Number of Uncommitted Agents in Neighborhood is < Number of Skills Unfilled in Task

16 Agent Types

17 Four Categories –Basic Task Selection and Task Patience –Basic Task Selection and Task Impatience –Strategic Task Selection and Task Patience –Strategic Task Selection and Task Impatience

18 No Adaptation Basic + Patient Strategic + Patient Basic + Impatient Strategic + Impatient

19 No Adaptation

20 Performance Agents

21 Structural Agents

22 Maximum Committed Four Time Steps

23 Maximum Committed Ten Time Steps

24 Two Tasks Per Time Step

25 Four Tasks Per Time Step

26 Degree Limit of Five

27 Degree Limit of Ten

28 Degree Limit of Twenty

29 Average Density Degree Limit of Five

30 Average Density Degree Limit of Ten

31 Average Density Degree Limit of Twenty

32 Conclusions Best Agent Type –StructuralStratImpatient Agent Impatience Under High Task Load Strategic Under High Task Load Degree Limit Feasible

33 Questions?


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