RIT Networks - Revision history

Springheel: /* Putting Even More Life to the AI */

2018-07-04T20:53:28Z

Putting Even More Life to the AI

← Older revision		Revision as of 20:53, 4 July 2018
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	== Putting Even More Life to the AI ==		== Putting Even More Life to the AI ==
	RIT increases the liveliness of the AI but you can push the immersion even further. For instance, you could place trigger_entityname -entities in places where the AI of a certain name walks past. When the AI walks through the trigger, a conversation would be triggered between the passing AI and a nearby AI. A good example of this are all the conversations encountered in the Phrase Book mission. Designing the conversation so that you can mix and match different lines so that the discussion still works, would create a scene where AI behave like real people and occasionally stop and have a random chat.		RIT increases the liveliness of the AI but you can push the immersion even further. For instance, you could place trigger_entityname -entities in places where the AI of a certain name walks past. When the AI walks through the trigger, a conversation would be triggered between the passing AI and a nearby AI. A good example of this are all the conversations encountered in the Phrase Book mission. Designing the conversation so that you can mix and match different lines so that the discussion still works, would create a scene where AI behave like real people and occasionally stop and have a random chat. [[Random Conversations]]

	== RIT Troubleshooting and Testing ==		== RIT Troubleshooting and Testing ==

Bikerdude at 21:48, 24 July 2014

2014-07-24T21:48:15Z

← Older revision		Revision as of 21:48, 24 July 2014
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	= Example map =		= Example map =
	Here is a basic map for mappers to use and learn from - [http://www.southquarter.com/tdm/fms/rits.pk4 Link 1], [http://darkmod.taaaki.za.net/fms/rits.pk4 Link 2] & [http://www.fidcal.com/darkuser/missions/rits.pk4 Link 3]		Here is a basic map for mappers to use and learn from - [http://www.southquarter.com/tdm/fms/rits.pk4 Link 1], [http://darkmod.taaaki.za.net/fms/rits.pk4 Link 2] & [http://www.fidcal.com/darkuser/missions/rits.pk4 Link 3]


	= Conclusion =		= Conclusion =

Bikerdude at 21:47, 24 July 2014

2014-07-24T21:47:29Z

← Older revision		Revision as of 21:47, 24 July 2014
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	5) AI goes back to sleep, but is safely away from the bed so he walks to the bed and goes to sleep without issue.		5) AI goes back to sleep, but is safely away from the bed so he walks to the bed and goes to sleep without issue.
	6) All is well		6) All is well

			= Example map =
			Here is a basic map for mappers to use and learn from - [http://www.southquarter.com/tdm/fms/rits.pk4 Link 1], [http://darkmod.taaaki.za.net/fms/rits.pk4 Link 2] & [http://www.fidcal.com/darkuser/missions/rits.pk4 Link 3]


	= Conclusion =		= Conclusion =

Sotha at 17:52, 24 August 2012

2012-08-24T17:52:18Z

← Older revision		Revision as of 17:52, 24 August 2012
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	= Conclusion =		= Conclusion =
	RIT networks are a nice and relatively simple way to add liveliness and unpredictability for your AI. It also makes it easy for the mapper to inject more AI to the mission flow if needed. However, the added unpredictability increases the mission challenge and difficulty so the mapper should be careful how many AI he adds to the networks. Generally a good RIT has the possibility of sending AI to any location in the map, but the probabilities should be tuned so that the golden rule of location security levels still apply. (Meaning, that the map has areas of varying danger: low tension, medium tension and high tension)		RIT networks are a nice and relatively simple way to add liveliness and unpredictability for your AI. It also makes it easy for the mapper to inject more AI to the mission flow if needed. However, the added unpredictability increases the mission challenge and difficulty so the mapper should be careful how many AI he adds to the networks. Generally a good RIT has the possibility of sending AI to any location in the map, but the probabilities should be tuned so that the golden rule of location security levels still apply. (Meaning, that the map has areas of varying danger: low tension, medium tension and high tension)

			{{editing}}

Sotha: /* Sitting and Sleeping RIT AI */

2012-05-17T09:51:35Z

Sitting and Sleeping RIT AI

Sotha: /* Sitting and Sleeping RIT AI */

2012-05-17T09:50:29Z

Sitting and Sleeping RIT AI

← Older revision		Revision as of 09:50, 17 May 2012
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	= Sitting and Sleeping RIT AI =		= Sitting and Sleeping RIT AI =
	This is important. If you have sitting and sleeping AI, be sure to put an extra path_corner so that the AI always walks away from the bed or the chair. If such a path is not set the situation might go like this		This is important. If you have sitting and sleeping AI in you RIT networks, be sure to put an extra path_corner so that the AI always walks away from the bed or the chair after they finish whatever they are doing there. If such a path is not set the situation might go like this:
	1) AI comes to bed, goes to sleep		1) AI comes to bed, goes to sleep
	2) AI gets up, targets decision node		2) AI gets up, targets decision node
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	5) AI gets stuck.		5) AI gets stuck.

	By adding a path_corner that makes the AI to walk away from the bed to a safe distance		By adding a path_corner that makes the AI to walk away from the bed to a safe distance:
	1) AI comes to bed, goes to sleep		1) AI comes to bed, goes to sleep
	2) AI gets up, targets the walk away path_corner. AI moves away from the bed.		2) AI gets up, targets the walk away path_corner. AI moves away from the bed.

Sotha at 09:49, 17 May 2012

2012-05-17T09:49:54Z

@@ Line 76: / Line 76: @@
 When creating separate guard partrol RITs, servant RITs and roaming RITs in your map, it might be a good idea to use the DR layer function so that you can hide all the non-related path_nodes and focus on the one RIT you are creating at that time.
 = Conclusion =
 RIT networks are a nice and relatively simple way to add liveliness and unpredictability for your AI. It also makes it easy for the mapper to inject more AI to the mission flow if needed. However, the added unpredictability increases the mission challenge and difficulty so the mapper should be careful how many AI he adds to the networks. Generally a good RIT has the possibility of sending AI to any location in the map, but the probabilities should be tuned so that the golden rule of location security levels still apply. (Meaning, that the map has areas of varying danger: low tension, medium tension and high tension)

Sotha: /* The Basic Door Guard RIT */

2012-05-17T09:44:17Z

The Basic Door Guard RIT

← Older revision		Revision as of 09:44, 17 May 2012
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	[[Image:RIT_door_guard.png‎]]		[[Image:RIT_door_guard.png‎]]

	The basic idea is that there is a normal repeating RIT cycle ("enter" targets path nodes, which target "exit" which targets "enter" again; an endless loop.) In this case the AI is guarding the door. The mapper could build an interesting RIT network for all kinds of random stuff a bored door guard might do: take leak, get a snack, walk around a bit, etc. The thing is, that the mapper simply sets the chance spawnarg on the "guard door" path nodes (a path_corner, a path_anim (look around) and a path_wait) so that the AI spends 75% or similar time of the cycle at the door. Then occasionally the AI would leave the door and take the break action the mapper defined.		The basic idea is that there is a normal repeating RIT cycle ("enter" targets path nodes, which target "exit" which targets "enter" again; an endless loop.) In this case the AI is guarding the door. The mapper could build an interesting RIT network for all kinds of random stuff a bored door guard might do: take leak, get a snack, walk around a bit, etc. The thing is, that the mapper simply sets the chance spawnarg on the "guard door" path nodes (a path_corner, a path_anim (look around) and a path_wait) so that the AI spends 75% or similar time of the cycle at the door. Then occasionally the AI would leave the door and take the break action the mapper defined. In practice, the mapper could set the chance spawnargs so that the important path node chance sums up to 75% near the important door. In this case, the path_corner_1 near the door would have chance 0.37 and path_corner_2 chance 0.37. Some of the remaining path nodes would then be targeted at a 26% probability.

	== Putting Even More Life to the AI ==		== Putting Even More Life to the AI ==

Sotha: /* The Basic Roaming RIT */

2012-05-17T09:40:07Z

The Basic Roaming RIT

← Older revision		Revision as of 09:40, 17 May 2012
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	[[Image:roaming_RIT.png‎]]		[[Image:roaming_RIT.png‎]]

	In this setup, the AI uses a single RIT circle, but the circle is spread across the whole map. The "enter" path_wait can send the arbitrarily anywhere in the map. Once the AI reaches the goal the "exit" path_wait targets again the "enter" path_wait. And again the AI goes somewhere totally else.		In this setup, the AI uses a single RIT circle, but the circle is spread across the whole map. The "enter" path_wait can send the arbitrarily anywhere in the map. Once the AI reaches the goal the "exit" path_wait targets again the "enter" path_wait. And again the AI goes somewhere totally else. This kind of AI can be really surprising as the AI can indeed be walking between any of the two points, giving large amount of different scenarios.

	== The Basic Door Guard RIT ==		== The Basic Door Guard RIT ==

Sotha: /* The Basic Guard Patrol RIT */

2012-05-17T09:38:51Z

The Basic Guard Patrol RIT

← Older revision		Revision as of 09:38, 17 May 2012
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	[[Image:RIT_guard.png‎]]		[[Image:RIT_guard.png‎]]

	The green boxes are a static route the AI follows. They are path_corners. At some point the route either continues along the normal static route, or sends the AI to a side ~~tract~~ RIT network. See the basic RIT unit to understand what the teal RIT circle means. Basically the AI goes side track, visit a room that is on his route. The mapper can use the chance spawnarg on the RIT enter path_wait, to control how likely the AI is to take the side road. The RITs might be room specific. AI guard RIT in the kitchen means snack time, side track RIT in the main hall might mean sitting down and chilling for a while.		The green boxes are a static route the AI follows. They are path_corners. At some point the route either continues along the normal static route, or sends the AI to a side track RIT network. See the basic RIT unit to understand what the teal RIT circle means. Basically the AI goes side track, visit a room that is on his route. The mapper can use the chance spawnarg on the RIT enter path_wait, to control how likely the AI is to take the side road. The RITs might be room specific. AI guard RIT in the kitchen means snack time, side track RIT in the main hall might mean sitting down and chilling for a while.

	Note the shortcut in the rightmost RIT circle. RIT exits could make the AI take shortcut or even make the AI go back in the opposite direction. This is a good option to consider as you see the RIT patrol would always take a clockwise general direction. If there was a single anti-clockwise path, which the AI could occasionally take, the RIT would function in all directions.		Note the shortcut in the rightmost RIT circle. RIT exits could make the AI take shortcut or even make the AI go back in the opposite direction. This is a good option to consider as you see the RIT patrol would always take a clockwise general direction. If there was a single anti-clockwise path, which the AI could occasionally take, the RIT would function in all directions.

← Older revision		Revision as of 09:51, 17 May 2012
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	= Sitting and Sleeping RIT AI =		= Sitting and Sleeping RIT AI =
	This is important. If you have sitting and sleeping AI in you RIT networks, be sure to put an extra path_corner so that the AI always walks away from the bed or the chair after they finish whatever they are doing there. If such a path is not set the situation might go like this:		This is important. If you have sitting and sleeping AI in you RIT networks, be sure to put an extra path_corner so that the AI always walks away from the bed or the chair after they finish whatever they are doing there. If such a path is not set the situation might go like this:
	1) AI comes to bed, goes to sleep		1) AI comes to bed, goes to sleep
	2) AI gets up, targets decision node		2) AI gets up, targets decision node
	3) By chance, decision node tells AI to go back to sleep		3) By chance, decision node tells AI to go back to sleep
	4) AI goes back to sleep, but is too close to the bed and gets stuck.		4) AI goes back to sleep, but is too close to the bed and gets stuck.
	5) AI gets stuck.		5) AI gets stuck.

	By adding a path_corner that makes the AI to walk away from the bed to a safe distance:		By adding a path_corner that makes the AI to walk away from the bed to a safe distance:
	1) AI comes to bed, goes to sleep		1) AI comes to bed, goes to sleep
	2) AI gets up, targets the walk away path_corner. AI moves away from the bed.		2) AI gets up, targets the walk away path_corner. AI moves away from the bed.
	3) The AI targets the decision making node.		3) The AI targets the decision making node.
	3) By chance, decision node tells AI to go back to sleep		4) By chance, decision node tells AI to go back to sleep
	4) AI goes back to sleep, but is safely away from the bed so he walks to the bed and goes to sleep without issue.		5) AI goes back to sleep, but is safely away from the bed so he walks to the bed and goes to sleep without issue.
	5) All is well		6) All is well

	= Conclusion =		= Conclusion =
	RIT networks are a nice and relatively simple way to add liveliness and unpredictability for your AI. It also makes it easy for the mapper to inject more AI to the mission flow if needed. However, the added unpredictability increases the mission challenge and difficulty so the mapper should be careful how many AI he adds to the networks. Generally a good RIT has the possibility of sending AI to any location in the map, but the probabilities should be tuned so that the golden rule of location security levels still apply. (Meaning, that the map has areas of varying danger: low tension, medium tension and high tension)		RIT networks are a nice and relatively simple way to add liveliness and unpredictability for your AI. It also makes it easy for the mapper to inject more AI to the mission flow if needed. However, the added unpredictability increases the mission challenge and difficulty so the mapper should be careful how many AI he adds to the networks. Generally a good RIT has the possibility of sending AI to any location in the map, but the probabilities should be tuned so that the golden rule of location security levels still apply. (Meaning, that the map has areas of varying danger: low tension, medium tension and high tension)