Hive - Revision history

Xseda07 at 22:07, 13 January 2013

2013-01-13T22:07:20Z

Xseda07: /* How day length / number of workers at the beginning/ flower size affect on stock of honey */

2013-01-13T21:55:49Z

‎How day length / number of workers at the beginning/ flower size affect on stock of honey

Xseda07 at 21:44, 13 January 2013

2013-01-13T21:44:30Z

Xseda07: /* Resources */

2013-01-13T21:40:57Z

‎Resources

Xseda07: /* Resources */

2013-01-13T21:40:45Z

‎Resources

Xseda07 at 21:37, 13 January 2013

2013-01-13T21:37:39Z

Xseda07: /* How minimum distance of flowers from beehive influences stock of honey */

2013-01-13T21:27:59Z

‎How minimum distance of flowers from beehive influences stock of honey

Xseda07: /* How minimum distance of flowers from beehive influences stock of honey */

2013-01-13T21:26:15Z

‎How minimum distance of flowers from beehive influences stock of honey

Xseda07: /* Conclusion */

2013-01-13T21:16:20Z

‎Conclusion

Xseda07: /* Conclusion */

2013-01-13T21:15:02Z

‎Conclusion

@@ Line 215: / Line 215: @@
 =Conclusion=
 In this simulation is showed, how basic  parts of hive and environment affect on each other. Therefore this simulation is limited, basic dependencies work accurately and hive and it´s closest environment works as self-organising ecosystem . But if we want to understand all parts and dependencies, we will need  much bigger analysis.
 =Resources=
 WILENSKY, Uri. NetLogo User Manual [online]. October 2012 [cit. 2012-12-06]. Dostupné z: http://ccl.northwestern.edu/netlogo/docs/NetLogo%20User%20Manual.pdf
 <div>
 Vcelky.cz [online]. [cit. 2013-01-13]. Dostupné z: http://www.vcelky.cz
+<div>

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 These two graphs show how day length, number of workers at the beginning of the simulation and flower size affect on stock of honey.
 <div>
-As we can see from these graphs all factors listed in headline influence stock of honey. The strongest influence has day length. That is because workers has more time to collect nectar. We can see that 40 ticks difference makes huge difference in the stock of honey. There is also big difference in stock of honey between flower size 4 and 8. This difference means that more flowers are at the beginning in the meadow, more stock honey we have. But these influences are in effect only in short term. In the long therm, stock of honey is influenced by the number of workers, which grows and then isn't enough honey to feed all the workers and stock of honey drops. This can be more obvious when we see next graphs with number of workers and flowers.
+As we can see from these graphs all factors listed in headline influence stock of honey. The strongest influence in the simulation has day length. That is because workers has more time to collect nectar. We can see that 40 ticks difference makes huge difference in the stock of honey. There is also big difference in stock of honey between flower size 4 and 8. This difference means that more flowers are at the beginning in the meadow, more stock honey we have. But in this case these influences are in effect only in short term. In the long therm, stock of honey is influenced by the number of workers, which grows and then isn't enough honey to feed all the workers and stock of honey drops. This can be more obvious when we see next graphs with number of workers and flowers.
 ==How day length / number of workers at the beginning/ flower size affect on number of workers ==
 [[File:Workers.png|bottom]]

@@ Line 4: / Line 4: @@
 *'''Author''': Adam Sedláček
 *'''Model type''': Agent-based simulation
-*'''Software used:''' NetLogo 5.0.2
+*'''Software used:''' NetLogo 5.0.3
 <div>
 =Problem Definition=
@@ Line 19: / Line 19: @@
 =Method=
-Because of hive is multiagent system, NetLogo 5.0.2 is used for this simulation. NetLogo is powerful tool and is easy to learn. But it has also disadvantages. For example low speed and performance.
+Because of hive is multiagent system, NetLogo 5.0.3 is used for this simulation. NetLogo is powerful tool and is easy to learn. But it has also disadvantages. For example low speed and performance.
 <div>
 Only standard NetLogo procedures and features was used, except some turtle´s shapes, which was created by author.

@@ Line 216: / Line 216: @@
 =Resources=
 WILENSKY, Uri. NetLogo User Manual [online]. October 2012 [cit. 2012-12-06]. Dostupné z: http://ccl.northwestern.edu/netlogo/docs/NetLogo%20User%20Manual.pdf
 Vcelky.cz [online]. [cit. 2013-01-13]. Dostupné z: http://www.vcelky.cz
 =Source Code=

@@ Line 216: / Line 216: @@
 =Resources=
 WILENSKY, Uri. NetLogo User Manual [online]. October 2012 [cit. 2012-12-06]. Dostupné z: http://ccl.northwestern.edu/netlogo/docs/NetLogo%20User%20Manual.pdf
 =Source Code=

@@ Line 198: / Line 198: @@
 As we can see, these two graph are very similar. It means that number of flowers is not influenced by day length. Obviously flower size influences number of flowers at the beginning. But  from the long term view, there is very little influence. We can see that number of flowers at the beginning of the simulation is bigger, than hive need to subsist. So the number of flowers stabilizes  at needed level.
 ==How minimum distance of flowers from beehive influences stock of honey ==
-[[File:Distance.jpg|bottom]]
+[[File:Distance.jpg|800px|bottom]]
 <div>
 These two charts reflect same situation as listed in charts above except variable ''distance-from-beehive'', which is set to 80. We can see that results are pretty different. The main difference is in amount of  honey, which is much less than in simulation with minimum distance = 50. It is because of workers have to fly longer distance to collect nectar. But in very long therm (longer than in this simulation) stock of honey will be similar. It is because of the fact, that average distance of flowers from beehive is continuously decreasing. The speed of flowers "approach" to the beehive depends on how fast they reproduce and their distance from beehive at the beginning of the simulation. After  some time beehive is surrounded by flowers.

← Older revision		Revision as of 21:15, 13 January 2013
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	=Conclusion=		=Conclusion=
		+	In this simulation is showed, how basic parts of hive and environment affect on each other. Therefore this simulation is limited, basic dependencies work accurately and hive and it´s closest environment works as self-organising ecosystem . To understand all parts and dependencies, much bigger analysis is needed.

	=Source Code=		=Source Code=