Xkraj119 - Revision history

Tomáš at 21:05, 26 December 2014

2014-12-26T21:05:59Z

Tomáš at 21:41, 23 December 2014

2014-12-23T21:41:23Z

Tomáš at 21:34, 23 December 2014

2014-12-23T21:34:56Z

Xkraj119 at 09:35, 22 December 2014

2014-12-22T09:35:24Z

Tomáš at 23:26, 19 December 2014

2014-12-19T23:26:22Z

Xkraj119 at 17:17, 19 December 2014

2014-12-19T17:17:26Z

Xkraj119 at 17:16, 19 December 2014

2014-12-19T17:16:27Z

Xkraj119: Created page with "TBD"

2014-12-19T16:23:38Z

Created page with "TBD"

New page

TBD

← Older revision		Revision as of 21:05, 26 December 2014
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−	Ok, '''approved'''. Perhaps, a full version of Simprocess could be needed. In that case, it should be available at SB207. [[User:Tomáš\|Tomáš]] 22:34, 23 December 2014 (CET)	+	Ok, '''approved'''. Perhaps, a full version of Simprocess could be needed. In that case, it should be available at SB207. [[User:Tomáš\|Tomáš]] 22:34, 23 December 2014 (CET) -10 points for late assignment

← Older revision		Revision as of 21:41, 23 December 2014
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−	Ok, '''approved'''. [[User:Tomáš\|Tomáš]] 22:34, 23 December 2014 (CET)	+	Ok, '''approved'''. Perhaps, a full version of Simprocess could be needed. In that case, it should be available at SB207. [[User:Tomáš\|Tomáš]] 22:34, 23 December 2014 (CET)

← Older revision		Revision as of 21:34, 23 December 2014
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	I agree with your objections. Therefore I've defined a different task, one which is more in my area of expertise :-). As for the resource types efficiency, I feel that I can estimate them well since I have similar data available to me. What do you think? - [[User:Xkraj119\|Jan Kratochvíl]] 10:30, 22 December 2014 (CET)~		I agree with your objections. Therefore I've defined a different task, one which is more in my area of expertise :-). As for the resource types efficiency, I feel that I can estimate them well since I have similar data available to me. What do you think? - [[User:Xkraj119\|Jan Kratochvíl]] 10:30, 22 December 2014 (CET)~
		+
		+
		+	Ok, '''approved'''. [[User:Tomáš\|Tomáš]] 22:34, 23 December 2014 (CET)

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 ==Assignment==
-*	Project name – Event Match-up Dynamics
+*	Project name – Providing SLA-backed support
 *	Author – Jan Kratochvíl
-*	Software used – NetLogo 5
+*	Software used – Simprocess
-*	Simulation type – Multi-agent model
+*	Simulation type – Queues theory
-== About the model ==
+== Scenario ==
-The target of the demonstration is to simulate the match-up process as happens in a closed, limited-time, in-person event, such as a concert or a birthday party.
+A software firm recently developed a new facing custom solution for one of the major banking institutions. The solution is critical to the bank’s operations. Therefore the bank decided to pay for support from the solution developer and has signed a Service Level Assurance agreement. The agreement defines several levels of incidents:
-=== The basic characteristics of the model are: ===
-*	Every population member has two basic preference types – physical attraction and mental compatibility
+{| class="wikitable"
-*	Every population member has a specific sex assigned, as well as a sexual preference – heterosexual, homosexual, bisexual, asexual
+|-
-*	The model is spatial. Population members interact with the nearest neighbors. After the interaction, they walk randomly until they find another actor.
+! Incident Severity
-*	The length of interaction between population members (can be zero) is based on their mutual physical attraction
+! Hotfix time (hours)
-*	After the interaction, both members score the other one. The score is a compound of physical attraction index and the mental compatibility index. The longer the interaction is, the more weight does the mental compatibility carries
+! Resolution time (hours)
-*	The resulting score is a basis for decision about mating. Some members have no intention of mating, yet take part in interactions
+! Penalty (per hour)
-*	The later it is in the game, the lower the score must be in order to be sufficient for mating
+|-
-=== Model configurability ===
+| Standard
-*	Minimum score to match-up
+| 16
-*	The pace with which does one’s standard lowers as the game reaches later stages
+| 72
-*	Weight of physical attraction/mental compatibility in scoring model
+| 100 EUR
-*	The initial spatial distribution of actors
+|-
-== Goal variables ==
+| Severe
-*	Median compatibility score of matched-up actors
+| 8
-*	Median number of turns for a match-up to happen
+| 32
-*	Median number of interaction it takes to reach a match-up
+| 400 EUR
-*	Percentage of actors able to find a match-up
+|-
-== Goals of the simulations are: ==
+| Critical
-*	Does the initial spatial distribution of actors significantly alter the median compatibility score of matched-up actors
+| 2
-*	What is the average of interactions needed to reach a match-up?
+| 16
-*	Does altering the number of actors with no mating intention increase the percentage of actors able to find a match-up?
+| 1000 EUR
-*	How aggressively do need the actors’ standards need to lower in order for vast majority of actors to find a match-up?
+|}
 [[User:Xkraj119|Jan Kratochvíl]] 18:17, 19 December 2014 (CET)~
-I must confess I am usually quite sceptical to the assignments like this one for a couple of reasons. First, it is very hard to measure such soft parameters like "psysical attraction" and keep it in touch with reality. Second, I am not sure if a random walk is the best way how to simulate people searching for a partner. And finally, do the goals solve a real problem or they just follow an artificial reality of the simulation? [[User:Tomáš|Tomáš]] 00:26, 20 December 2014 (CET)
+I must confess I am usually quite sceptical to the assignments like this one for a couple of reasons. First, it is very hard to measure such soft parameters like "psysical attraction" and keep it in touch with reality. Second, I am not sure if a random walk is the best way how to simulate people searching for a partner. And finally, do the goals solve a real problem or they just follow an artificial reality of the simulation? - [[User:Tomáš|Tomáš]] 00:26, 20 December 2014 (CET)

← Older revision		Revision as of 23:26, 19 December 2014
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	* How aggressively do need the actors’ standards need to lower in order for vast majority of actors to find a match-up?		* How aggressively do need the actors’ standards need to lower in order for vast majority of actors to find a match-up?

−	[[User:Xkraj119\|Jan Kratochvíl]] 18:17, 19 December 2014 (CET)	+	[[User:Xkraj119\|Jan Kratochvíl]] 18:17, 19 December 2014 (CET)~
		+
		+	I must confess I am usually quite sceptical to the assignments like this one for a couple of reasons. First, it is very hard to measure such soft parameters like "psysical attraction" and keep it in touch with reality. Second, I am not sure if a random walk is the best way how to simulate people searching for a partner. And finally, do the goals solve a real problem or they just follow an artificial reality of the simulation? [[User:Tomáš\|Tomáš]] 00:26, 20 December 2014 (CET)

← Older revision		Revision as of 17:17, 19 December 2014
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	* Does altering the number of actors with no mating intention increase the percentage of actors able to find a match-up?		* Does altering the number of actors with no mating intention increase the percentage of actors able to find a match-up?
	* How aggressively do need the actors’ standards need to lower in order for vast majority of actors to find a match-up?		* How aggressively do need the actors’ standards need to lower in order for vast majority of actors to find a match-up?
		+
		+	[[User:Xkraj119\|Jan Kratochvíl]] 18:17, 19 December 2014 (CET)

← Older revision		Revision as of 17:16, 19 December 2014
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−	~~TBD~~	+	==Assignment==
		+	* Project name – Event Match-up Dynamics
		+	* Author – Jan Kratochvíl
		+	* Software used – NetLogo 5
		+	* Simulation type – Multi-agent model
		+	== About the model ==
		+	The target of the demonstration is to simulate the match-up process as happens in a closed, limited-time, in-person event, such as a concert or a birthday party.
		+	=== The basic characteristics of the model are: ===
		+	* Every population member has two basic preference types – physical attraction and mental compatibility
		+	* Every population member has a specific sex assigned, as well as a sexual preference – heterosexual, homosexual, bisexual, asexual
		+	* The model is spatial. Population members interact with the nearest neighbors. After the interaction, they walk randomly until they find another actor.
		+	* The length of interaction between population members (can be zero) is based on their mutual physical attraction
		+	* After the interaction, both members score the other one. The score is a compound of physical attraction index and the mental compatibility index. The longer the interaction is, the more weight does the mental compatibility carries
		+	* The resulting score is a basis for decision about mating. Some members have no intention of mating, yet take part in interactions
		+	* The later it is in the game, the lower the score must be in order to be sufficient for mating
		+	=== Model configurability ===
		+	* Minimum score to match-up
		+	* The pace with which does one’s standard lowers as the game reaches later stages
		+	* Weight of physical attraction/mental compatibility in scoring model
		+	* The initial spatial distribution of actors
		+	== Goal variables ==
		+	* Median compatibility score of matched-up actors
		+	* Median number of turns for a match-up to happen
		+	* Median number of interaction it takes to reach a match-up
		+	* Percentage of actors able to find a match-up
		+	== Goals of the simulations are: ==
		+	* Does the initial spatial distribution of actors significantly alter the median compatibility score of matched-up actors
		+	* What is the average of interactions needed to reach a match-up?
		+	* Does altering the number of actors with no mating intention increase the percentage of actors able to find a match-up?
		+	* How aggressively do need the actors’ standards need to lower in order for vast majority of actors to find a match-up?