!!!---atran(1).nlogo

NETLOGO

  jump distance my-patch
  set heading 0
  without-interruption [
    set total-no-of-tasks total-no-of-tasks + 1
  ]
end

;; assigns a new task to a random agent
to assign-task-to-random-agent
  assign-task-to-agent self random-one-of agents 
end 
@#$#@#$#@
GRAPHICS-WINDOW
287
10
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483
10
10
21.05
1
10
1
1
1

CC-WINDOW
457
490
740
642
Command Center

SLIDER
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167
no-of-agents
no-of-agents
1
100
21
1
1
NIL

BUTTON
65
10
134
43
NIL
setup
NIL
1
T
OBSERVER
T

BUTTON
139
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43
NIL
go
T
1
T
OBSERVER
T

SLIDER
66
95
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128
agent-types
agent-types
1
20
3
1
1
NIL

BUTTON
207
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43
debug
set debug? 1 - debug?
NIL
1
T
OBSERVER
T

MONITOR
62
320
239
369
number of tasks deleted
no-of-deleted-tasks
3
1

MONITOR
64
215
219
264
total number of tasks
total-no-of-tasks
3
1

MONITOR
64
267
233
316
number of tasks solved
no-of-completed-tasks
3
1

MONITOR
4
10
61
59
NIL
time
3
1

MONITOR
62
375
183
424
number of tasks
count tasks
3
1

MONITOR
62
430
249
479
number of working agents
count agents with [ current-task != nobody ]
3
1

CHOICE
66
47
204
92
agent-strategy
agent-strategy
"stingy" "lazy"
0

PLOT
62
490
454
640
Working agents & tasks
time
agents/tasks
0.0
10.0
0.0
10.0
true
true
PENS
"agents" 1.0 0 -11352576 true
"tasks" 1.0 0 -65536 true

SLIDER
64
173
253
206
task-per-time-step
task-per-time-step
1
100
2
1
1
NIL

@#$#@#$#@
WHAT IS IT?
-----------
ATRAN is for Adaptive Task and Resource Allocation Network. The original ATRAN was developed by Bradley S Boven and Tamas Kiss at Kalamazoo College, MI, USA.

In ATRAN, a pool of agents are trying to solve a pool of tasks. This is not a spatial simulation. Although the model is drawn in 2D, space does not matter.

HOW IT WORKS
------------
Currently only part of the full model is implemented. The simulation has discrete time steps. There is fixed number of agents created in the first time step. In every time step a given number of new tasks are created. Each new task is randomly assigned to an agent. Tasks also have deadlines, a point in time until which the task has to be completed, otherwise the task expires. Expired tasks are deleted from the model. 

The agents can apply a number of different strategies to handle the tasks. They can simply start solving the most urgent task, and they can also pass tasks to other agents, their friends. 

Agent friendship lasts forever and no new friendships are created during the simulation. The friendship network right now is random graph, every agent has two friends. Other networks might be added easily.

Agent types and task types are not implemented yet, every agent can solve every kind of tasks.

HOW TO USE IT
-------------
Set the agent strategy first. Every agent uses this strategy. Right now two simple strategies are implemented. Using the 'stingy' strategy, agents never pass tasks to their friends, they want to solve them alone. The 'lazy' strategy however makes agents pass tasks to their friends if they have more than one pending task. The friend to send a job to is selected randomly.

The agent-types slidebar is not functional yet, forget it. Set the number of agents, this is constant along the simulation and the number of tasks added in each time step. 

Choose the 'Setup' button to generate the agents. Choose 'Go' to start (and stop) the simulation. Agents are represented as person pictograms, whereas tasks are simply boxes. Idle agents are standing in the top line of the screen, the others are working on a task. A task is grey if nobody is working on it, and green if an agent is currently solving it. The agent stands beside the taks this time. 

A number of statistics are reported on the screen: total number of tasks, number of tasks solved and deleted, the current number of unsolved, not expired tasks and the number of working agents. The latter two are also plotted. 

THINGS TO NOTICE
----------------
This section could give some ideas of things for the user to notice while running the model.


THINGS TO TRY
-------------
This section could give some ideas of things for the user to try to do (move sliders, switches, etc.) with the model.


EXTENDING THE MODEL
-------------------
This section could give some ideas of things to add or change in the procedures tab to make the model more complicated, detailed, accurate, etc.


NETLOGO FEATURES
----------------
This section could point out any especially interesting or unusual features of NetLogo that the model makes use of, particularly in the Procedures tab.  It might also point out places where workarounds were needed because of missing features.


RELATED MODELS
--------------
This section could give the names of models in the NetLogo Models Library or elsewhere which are of related interest.


CREDITS AND REFERENCES
----------------------
This section could contain a reference to the model's URL on the web if it has one, as well as any other necessary credits or references.
@#$#@#$#@
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@#$#@#$#@
NetLogo 2.0.0
@#$#@#$#@
@#$#@#$#@
@#$#@#$#@
</pre>

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