Stigmergy - Revision history

TiberiusB: /* Applied to humans */

2025-10-08T04:40:36Z

Applied to humans

TiberiusB: /* Some technical aspects */

2025-10-08T02:12:24Z

Some technical aspects

TiberiusB: /* Stigmergic organizations */

2024-11-13T22:47:05Z

Stigmergic organizations

TiberiusB: /* Stigmergic organizations */

2024-11-13T22:28:00Z

Stigmergic organizations

TiberiusB: /* Stigmergic organizations */

2024-11-13T22:27:37Z

Stigmergic organizations

TiberiusB: /* Quantitative vs qualitat8ve stigmergy */

2022-08-19T15:29:38Z

Quantitative vs qualitat8ve stigmergy

TiberiusB: /* Implementations */

2022-04-08T08:35:22Z

Implementations

TiberiusB: /* Anticipatory stigmergy */

2021-12-15T05:14:26Z

Anticipatory stigmergy

TiberiusB: /* Quantitative vs qualitat8ve stigmergy */

2021-12-15T05:13:00Z

Quantitative vs qualitat8ve stigmergy

TiberiusB: /* Implementations */

2021-12-15T05:06:54Z

Implementations

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 : ''On the Internet there are many collective projects where users interact only by modifying local parts of their shared virtual environment. Wikipedia is an example of this. The massive structure of information available in a wiki,[19] or an open source software project such as the FreeBSD kernel could be compared to a termite nest; one initial user leaves a seed of an idea (a mudball) which attracts other users who then build upon and modify this initial concept, eventually constructing an elaborate structure of connected thoughts. In addition the concept of stigmergy has also been used to describe how cooperative work such as building design may be integrated. Designing a large contemporary building involves a large and diverse network of actors (e.g. architects, building engineers, static engineers, building services engineers). Their distributed activities may be partly integrated through practices of stigmergy.''
 From [https://en.wikipedia.org/wiki/Stigmergy Wikipedia / Stigmergy]
 =Analysis of human social movements=

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 '''At the second level''', we have '''active signaling stigmergy''', which means that agents can get notifications from ques that are deposited in other contexts, based on some criteria. This second level was implemented in [[Sensorica]]'s web2 version of the [[NRP-CAS]]. For example, if an [[affiliate]] has performed tasks in a [[context of work]] (i.e. a [[project]] or a [[venture]]), whenever there's another task of the same type that is created by another [[affiliate]], the first [[affiliate]] can get an email notification. This allows a group of affiliates in a smaller size network perform well, by increasing the probability of an action being taken (someone will take a new task) in a different [[context of work]], relaxing the requirement of the critical mass (high number of [[agents]]). This is a dumb as a matchmaking system. The idea is to reduce the distance / proximity requirement.
 '''At the third level''', we have what [[Tibi]] calls '''proactive stigmergy'''. We can also understand this as part of the [[feedback system]]. One way to implement this is to make the collaborative digital environment smarter, using machine learning or AI agents. In other words, AI agents can scan activity and flows within the environment and detect priorities in some contexts of work and send signals / ques / notifications to specific agents who can, directly or indirectly intervene. At this level we increase the general awareness about important issues throughout the network and further reduce the requirement for a critical number, allowing even smaller networks to operate well.
 =Some technical aspects=

@@ Line 23: / Line 23: @@
 [[Tibi]] identifies different levels of stigmergy.
 '''At the first level''' we have '''passive stigmergy''', which is the type of coordination that ants/insects use. Agents (an ant) need to stumble randomly open a pheromone in order to get instructions what to do next. Pheromones that are placed far away, removed from the immediate context of activity, are not available to a particular agent. The system of agents works well if there are a critical number of agents, so that the probability that other agents stumble on a key pheromone is relevantly high. Since every agent only has access to its immediate environment, there is no way for a local agent to prioritize other than based on local ques/signals.
-'''At the second level''', we have '''active signaling stigmergy''', which means that agents can get notifications from ques that are deposited in other contexts, based on some criteria. This second level was implemented in [[Sensorica]]'s web2 version of the [[NRP-CAS]]. For example, if an [[affiliate]] has performed tasks in a [[context of work]] (i.e. a [[project]] or a [[venture]]), whenever there's another task of the same type that is created by another [[affiliate]], the first [[affiliate]] can get an email notification. This allows a group of affiliates in a smaller size network perform well, by increasing the probability of an action being taken (someone will take a new task) in a different [[context of work]], relaxing the requirement of the critical mass (high number of [[agents]]).
+'''At the second level''', we have '''active signaling stigmergy''', which means that agents can get notifications from ques that are deposited in other contexts, based on some criteria. This second level was implemented in [[Sensorica]]'s web2 version of the [[NRP-CAS]]. For example, if an [[affiliate]] has performed tasks in a [[context of work]] (i.e. a [[project]] or a [[venture]]), whenever there's another task of the same type that is created by another [[affiliate]], the first [[affiliate]] can get an email notification. This allows a group of affiliates in a smaller size network perform well, by increasing the probability of an action being taken (someone will take a new task) in a different [[context of work]], relaxing the requirement of the critical mass (high number of [[agents]]). This is a dumb as a matchmaking system. The idea is to reduce the distance / proximity requirement.
 '''At the third level''', we have what [[Tibi]] calls '''proactive stigmergy'''. We can also understand this as part of the [[feedback system]]. One way to implement this is to make the collaborative digital environment smarter, using machine learning or AI agents. In other words, AI agents can scan activity and flows within the environment and detect priorities in some contexts of work and send signals / ques / notifications to specific agents who can, directly or indirectly intervene. At this level we increase the general awareness about important issues throughout the network and further reduce the requirement for a critical number, allowing even smaller networks to operate well.

@@ Line 23: / Line 23: @@
 [[Tibi]] identifies different levels of stigmergy.
 '''At the first level''' we have '''passive stigmergy''', which is the type of coordination that ants/insects use. Agents (an ant) need to stumble randomly open a pheromone in order to get instructions what to do next. Pheromones that are placed far away, removed from the immediate context of activity, are not available to a particular agent. The system of agents works well if there are a critical number of agents, so that the probability that other agents stumble on a key pheromone is relevantly high. Since every agent only has access to its immediate environment, there is no way for a local agent to prioritize other than based on local ques/signals.
-'''At the second level''', we have '''active signaling stigmergy''', which means that agents can get notifications from ques that are deposited in other contexts, based on some criteria. This second level was implemented in [[Sensorica]]'s web2 version of the [[NRP-CAS]]. For example, if an [[affiliate]] has performed tasks in a [[context of work]] (i.e. a [[project]] or a [[venture]]), whenever there's another task of the same type that is created by another [[affiliate]], the first [[affiliate]] can get an email notification. This allows a group of affiliates in a smaller size network perform well, by increasing the probability of an action being taken (someone will take a new task) in a different [[work context]], relaxing the requirement of the critical mass (high number of [[agents]]).
+'''At the second level''', we have '''active signaling stigmergy''', which means that agents can get notifications from ques that are deposited in other contexts, based on some criteria. This second level was implemented in [[Sensorica]]'s web2 version of the [[NRP-CAS]]. For example, if an [[affiliate]] has performed tasks in a [[context of work]] (i.e. a [[project]] or a [[venture]]), whenever there's another task of the same type that is created by another [[affiliate]], the first [[affiliate]] can get an email notification. This allows a group of affiliates in a smaller size network perform well, by increasing the probability of an action being taken (someone will take a new task) in a different [[context of work]], relaxing the requirement of the critical mass (high number of [[agents]]).
 '''At the third level''', we have what [[Tibi]] calls '''proactive stigmergy'''. We can also understand this as part of the [[feedback system]]. One way to implement this is to make the collaborative digital environment smarter, using machine learning or AI agents. In other words, AI agents can scan activity and flows within the environment and detect priorities in some contexts of work and send signals / ques / notifications to specific agents who can, directly or indirectly intervene. At this level we increase the general awareness about important issues throughout the network and further reduce the requirement for a critical number, allowing even smaller networks to operate well.

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 =Stigmergic organizations=
-As organizational form, OVNs are self-organized through stigmergy. In the context of [[Sensorica]], the digital environment where agents or [[affiliates]] collaborate is designed to enhance stigmergic behavior. For example, a shared online document can represent a free form collaborative environment. Sensoricans have created templates of such documents that contain a list of ''digital pheromones'', called signalization tools, that agents can use to signal to others agents what has been done, where things are and what can be done to get wherever they want to get. See example of [https://docs.google.com/document/d/1fRwzBlGbZn2SlpFbcJsB4aPukzCAVptJLIEDgJ4BjFU/edit template for collaboration on technical development].
+As organisations, OVNs are self-organized through stigmergy, which is the primary mode of [[coordination]]. In the context of [[Sensorica]], the digital environment where [[agents]] or [[affiliates]] collaborate is designed to enhance stigmergic behavior. For example, a shared online document can represent a free form collaborative environment. Sensoricans have created templates of such documents that contain a list of ''digital pheromones'', called signalization tools, that agents can use to signal to others agents what has been done, where things are and what can be done to get wherever they want to get. See example of [https://docs.google.com/document/d/1fRwzBlGbZn2SlpFbcJsB4aPukzCAVptJLIEDgJ4BjFU/edit template for collaboration on technical development].
 =Some technical aspects=

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 =Some technical aspects=
-==Quantitative vs qualitat8ve stigmergy==
+==Quantitative vs qualitative stigmergy==
 Develop... [https://drive.google.com/file/d/1t-yBE-9iB3aJFnrlscyKXhV3VAkD-tLc/view?usp=drivesdk see paper for definition]

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 [https://drive.google.com/file/d/1ZVqV_TWdC-pVZ38B9t5FENAGLRw1jln0/view?usp=drivesdk open paper]
-=Implementations=
+=Praxis=
 * [[Stigmergy applied in Sensorica]]
 =See also=
 [[Planning]]

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 ==Anticipatory stigmergy==
 Stigmergy builds on information on the past. Anticipatory stigmergy is about agents anticipation of near future action.
 =Implementations=