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Mason Tileworld
Presented to you by: Shenglong, Bing Zhe, Kah Yee, Clement, Vicky
nonameless

 Reactive Agent
 Practical Reasoning Agent – BDI
 Hybrid Agent
 Performance Analysis
 Communication and Memory
 Demonstration of hybrid agent
 Demonstration of multiple agents
Contents

 Respond to environmental changes via agent’s
percepts.
 It will always react to the nearest object.
 If distance to both tile and hole are the same, picking
up the tile will be of higher priority.
Reactive Agent

 It will make decisions based solely on the present
and does not consider past events.
 Memory is not utilized.
Limitations

 Decisions are made based on logical reasoning.
 Intentions are decided based on current situation.
 Plans are made based on past memory.
 BDI Agent improves Reactive Agent by
incorporating past memory for planning.
BDI Agent

 A vertical layering of Reactive Agent and BDI Agent.
Hybrid Agent

Reactive Agent BDI Agent Hybrid Agent
Configuration 1 9 20 24
Configuration 2 204 254 306
Performance Analysis
Configuration 1:
Environment Size : 100 x 100 cells
Average Object Creation Rate : Normal(μ=0.2, σ=0.05)
Lifetime : 100
Configuration 2:
Environment Size : 50 x 50 cells
Average Object Creation Rate : Normal(μ=2, σ=0.5)
Lifetime : 30

Performance Analysis
Hybrid Agent 1 Hybrid Agent 2 Total
Configuration 1 21 26 47
Configuration 2 308 298 606
Configuration 3 6 10 16
Configuration 3:
Environment Size : 150 x 40 cells
Average Tile Creation Rate : Normal(μ=0.02, σ=0.001)
Average Hole Creation Rate : Normal(μ=0.2, σ=0.01)
Average Obstacle Creation Rate : Normal(μ=0.5, σ=0.1)
Lifetime : 120

 Communication by sending “mail” to each other
 The mail contains 3 TWAgentPercept
 Sender’s target:
TWHole or TWTile (null if none)
 Sender itself as a percept
(For receiver to access sender location)
 TWHole nearest to the receiver
(With reference to sender’s memory)
Communication

 Memory of area in sensor range will be “refreshed”
 No memory decay function as deemed unnecessary
 Mail processing:
 TWHole percept from mail is added to memory
 Sender’s target is removed from memory unless
receiver position is closer to the target
Memory

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Nonameless - Mason Tileworld Implementation

  • 1. Mason Tileworld Presented to you by: Shenglong, Bing Zhe, Kah Yee, Clement, Vicky nonameless
  • 2.   Reactive Agent  Practical Reasoning Agent – BDI  Hybrid Agent  Performance Analysis  Communication and Memory  Demonstration of hybrid agent  Demonstration of multiple agents Contents
  • 3.   Respond to environmental changes via agent’s percepts.  It will always react to the nearest object.  If distance to both tile and hole are the same, picking up the tile will be of higher priority. Reactive Agent
  • 4.   It will make decisions based solely on the present and does not consider past events.  Memory is not utilized. Limitations
  • 5.   Decisions are made based on logical reasoning.  Intentions are decided based on current situation.  Plans are made based on past memory.  BDI Agent improves Reactive Agent by incorporating past memory for planning. BDI Agent
  • 6.   A vertical layering of Reactive Agent and BDI Agent. Hybrid Agent
  • 7.  Reactive Agent BDI Agent Hybrid Agent Configuration 1 9 20 24 Configuration 2 204 254 306 Performance Analysis Configuration 1: Environment Size : 100 x 100 cells Average Object Creation Rate : Normal(μ=0.2, σ=0.05) Lifetime : 100 Configuration 2: Environment Size : 50 x 50 cells Average Object Creation Rate : Normal(μ=2, σ=0.5) Lifetime : 30
  • 8.  Performance Analysis Hybrid Agent 1 Hybrid Agent 2 Total Configuration 1 21 26 47 Configuration 2 308 298 606 Configuration 3 6 10 16 Configuration 3: Environment Size : 150 x 40 cells Average Tile Creation Rate : Normal(μ=0.02, σ=0.001) Average Hole Creation Rate : Normal(μ=0.2, σ=0.01) Average Obstacle Creation Rate : Normal(μ=0.5, σ=0.1) Lifetime : 120
  • 9.   Communication by sending “mail” to each other  The mail contains 3 TWAgentPercept  Sender’s target: TWHole or TWTile (null if none)  Sender itself as a percept (For receiver to access sender location)  TWHole nearest to the receiver (With reference to sender’s memory) Communication
  • 10.   Memory of area in sensor range will be “refreshed”  No memory decay function as deemed unnecessary  Mail processing:  TWHole percept from mail is added to memory  Sender’s target is removed from memory unless receiver position is closer to the target Memory

Editor's Notes

  1. Example: After the agent picks up a tile, instead of re-visiting a hole which it passed by previously, it will find a new hole at random.
  2. Appropriate plans are then made to fulfill these intention and these plans are made based on its past memory, such as a previously visited hole or tile.The limitations of the bdi agent are its long decision time but this is not of an issue to our project.
  3. Our hybrid agent is a vertical layering of our reactive agent and our bdi agent.The only improvement from bdi agent to this is that it will pick up a tile or fill the hole if it spawns right underneath the agent without interfering its current plan
  4. Single agent runAs you can see:BDI Agent performance drastic improvement from Reactive agentHybrid agent is a combination for Reactive and BDIThe performance improvement not too drastic for config 12) The performance improvement is more drastic for config 2These are the configurations for the 2 environmentsThus this is why we chose Hybrid agent
  5. This is the result for the double-agent run in these 3 configurationsEven though 2 agents are on the field, the individual score does not differ much from a single agent run.These are the settings for configuration 3.
  6. Not limited to 2 agent