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--- lesson_23 [2019/08/27 16:27]
argemiro ↷ Page name changed from lesson_20 to lesson_23
+++ lesson_23 [2020/09/22 15:31] (current)
admin
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-====LESSON 20:  Agent Based Model  ====
+=====Agent Based Model  =====
  \\
 ==== What will you learn? ====
-* What is an agent-based model \\
+  * What is an agent-based model \\
-* A spatially explicit ABM developed using DINAMICA-EGO.
+  * A spatially explicit ABM developed using DINAMICA-EGO.
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 **Homogeneous scenario: every cell has the same value in this map: 100 -  average cell value: 100 -**
-<html><iframe width="420" height="315" src="http://www.youtube.com/embed/_bGHgmhAFqM" frameborder="0" allowfullscreen></iframe></html>
+{{ youtube>_bGHgmhAFqM?size=420x315&rel=0 }}
 **Heterogeneous scenario: cells have values from 0 to 147 - average cell value: 100 -**
-<html><iframe width="420" height="315" src="http://www.youtube.com/embed/SK80UU8QwHw?rel=0" frameborder="0" allowfullscreen></iframe></html>
+{{ youtube>SK80UU8QwHw?size=420x315&rel=0 }}
 **Heterogeneous scenario: cells have values from 0 to 73 - average cell value: 50 -**
-<html><iframe width="420" height="315" src="http://www.youtube.com/embed/ayTFM5yKmaU?rel=0" frameborder="0" allowfullscreen></iframe></html>
+{{ youtube>ayTFM5yKmaU?size=420x315&rel=0 }}
 On heterogeneous landscapes, the agents move to locations with larger concentration of resources. As a result, this areas are depleted in first place.
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 Weiss, G. //Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence//. MIT Press, Cambridge. 1999
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+===Congratulations, you have successfully completed this lesson!===
+\\
+☞[[multiple_criteria|Next: Multiple Criteria Evaluation]]
+\\
+☞[[:guidebook_start| Back to Guidebook Start]]