Systemic worlds, randomness and NPC behavior
A systemic world applies shared rules to multiple objects so players can predict new combinations from known interactions. Each overview separates player actions, state changes and alternative rules. Examples are hypothetical design scenarios, not claims about a named game. A prototype check states an observable question for the next iteration. Existing detailed references remain separately linked from the direction map.
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Mechanics and variants
1Systemic interactions and immersive simsOverview and example ↗Shared object properties produce several solutions, allowing players to transfer known rules into unanticipated combinations.4
Mechanic variants
- Materials determine responses to effects.
- Environments carry effects between objects.
- Tools work beyond a scripted target.
- Consequences persist after the player leaves.
Design example. A metal crate becomes a conductor, pressure-plate weight or movable cover under shared rules. Prototype check: Test one property across object classes so visually identical rules do not hide inconsistent exceptions.
2Physical materials, deformation and destructionOverview and example ↗Materials determine responses to force and damage; deformation and destruction create a new interaction structure.4
Mechanic variants
- Elasticity restores shape after a load.
- Plasticity preserves a dent after contact.
- Brittleness splits objects above a threshold.
- Fragments inherit selected original properties.
Design example. A thin panel bends open while a glass divider breaks into separate obstacles. Prototype check: Test traversal and fragment interactions after saving and loading a destroyed scene.
3Ecology, food chains and environmental recoveryOverview and example ↗An ecosystem connects food availability, population sizes and environmental conditions, allowing interventions to propagate.4
Mechanic variants
- Predators limit prey populations.
- Plants recover under suitable conditions.
- Pollution changes a site's suitability for a species.
- Recovery starts by removing the damage source.
Design example. Cleaning a stream brings back insects, then fish and finally birds that feed on them. Prototype check: Test long unattended simulation and explain simplifications rather than claiming real ecological accuracy.
4Character routines, needs and memoryOverview and example ↗Routines connect needs, available places and event memory to produce understandable daily character routes.4
Mechanic variants
- Schedules set expected places at specified times.
- Needs interrupt plans for recovery.
- Memory changes attitudes toward familiar places.
- Unavailable destinations trigger fallback behavior.
Design example. A craftsperson goes for lunch but chooses a cheaper canteen after a wallet theft. Prototype check: Test closed workplaces and missed appointments so NPCs do not endlessly attempt unavailable actions.
5Creature training and tamingOverview and example ↗Creature training connects signals, actions and consequences to establish a clear, limited command vocabulary over time.4
Mechanic variants
- Reinforcement increases a selected response's likelihood.
- Context limits transfer of learned commands.
- Trust unlocks more complex joint actions.
- Rest prevents endless uninterrupted practice.
Design example. A creature learns to retrieve a marked object and later attempts it among distractors in another room. Prototype check: Test reward attribution to an action and distinguish refusal, misunderstood commands and fatigue.
6Simulated societies, populations and autonomous communitiesOverview and example ↗An autonomous community distributes roles and resources without direct commands to each member, producing observable collective outcomes.4
Mechanic variants
- Job-choice rules change employment structure.
- Migration responds to differences in living conditions.
- Social links transmit information among members.
- Collective decisions aggregate different preferences.
Design example. A mine attracts workers, raises housing demand and changes the availability of craftspeople. Prototype check: Trace aggregate statistics to agent actions and avoid presenting a simplified simulation as a social forecast.
Sources and examples
Sources support particular techniques or methodology, not every family variant. Design examples and mechanic combinations are illustrative.
- Robert Nystrom: State
The author’s original discussion of states and transitions; rule implementation context, not evidence for every editorial variant.
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