Patterns of Interactions
2.2 Iterating
Agent in the world usually executes goal driven tasks through a same or similar set of actions within any given context and time horizon. This repeating set of actions is key elements of the agent’s or system’s behaviour, revealing systems purpose…
For the specific context of your designs identify the most common set of actions and events for a specific persona, understand their sentiment at any given point, and start improving the least favourite parts. Repeat…
“It’s like déjà vu all over again.”
system has a goal and functions within a paradigm. Vision, goal, projection to drive action (expectation effect)
Partial focus as evolutionary trait and as failure to notice environment
Symbols are strong drivers for agent to advance
designing towards better future self
2.2.1 Habits
Because of LIMITED biological RESOURCES, agent in the world develops habits which are low energy set of actions for accomplishing a task or fulfill a certain need.
whenever possible strive to create or support habits beneficial to the agent by introducing a reminder for an action, ease of execution of the action, and a way of rewarding the agent for the execution.
Habits (Aristotle, Plato)
Trigger -> action -> variable reward -> investment (Hooked model)
Heuristics Heuristics, biases - Insight (can heuristics lead to insight?) shortcuts that can trick us into problems
Habits - Efficiency - Resilience (former cheap, later expensive) #copy
Habit forming / efficiency
To counter parasitic processes
Varvekee
Limiting vs opening (8fold path)
Bad habits, addiction is “reciprocal narrowing”
If you do something every day, it’s a system. If you’re waiting to achieve it someday in the future, it’s a goal. (nadji autora)
BJ Fogg model B=MAT use graph “https://www.behaviormodel.org/”
In anticipation of (variable) rewards
Microiterations are continual way to be-in-the-world. Sensori-motor loop. Perception action loop.
2.2.2 Feedback
Agent in the world continuously receives feedback from the elements of the embedded systems and environments that the agent is embedded in – or internal and external systems. The feedback can come in different forms: quantifiable data, verbal, visual, physical, emotional, etc. and serves to orient the agent’s next steps.
Ensure that in any given context your designs provide to the agent the most relevant or actionable feedback in the most meaningful timing. Continuously.
Feedback essential for autopoisis
Balancing and reinforcing loops
Feedback loops (Measuring aspect
Delays
Viral cycle time is the amount of time it takes a user to invite other users
Attention to feedback is an essential component of system thinking. Systems thinking originated in 1956, when Professor Jay Forrester founded the Systems Dynamic Group at MIT’s Sloan School of Management.
2.2.3 Adapting
Agent in the world is always adapting to the continuously changing environments through understanding of the flow of information that’s coming as the feedback from the environment. The adaption is not purely mechanistic (algorythmic) like cellular automata, but also driven by larger frames of purpose and meaning that serves as a frame of understanding of the received feedback and design of the next action. (closely related to active inference by Fr
“It ain’t what you don’t know that gets you into trouble. It’s what you know for sure that just ain’t so.”
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Documenting timestamps, immutable ledgers.
Understand from the records the recurring ones and asses the value of those, improve themUnderstand sentiment of the recurring events
Affect the system carefully by designing affordances for the events to happen in desirable ways.
Some interventions might cause non-predictable effects of large scale through second or third order effects. For the non-linear events of unknown nature redundancy need to be included in the system. -
Lorem