Event
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An Event is a temporal occurrence where things undergo state change at identifiable points in time.
- AKA: Occurrence, Happening, Incident, Temporal Marker.
- Context:
- It can typically involve Entities undergoing state transitions.
- It can typically occur at Temporal Locations with time coordinates.
- It can typically manifest in Spatial Locations within space coordinates.
- It can typically exhibit Causal Relationships with other events.
- It can typically possess Event Durations from instantaneous to extended.
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- It can often trigger Subsequent Events through causal chains.
- It can often require Precondition Events via temporal dependencies.
- It can often produce Observable Effects in physical systems.
- It can often be detected through Event Indicators or event signals.
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- It can range from being a Deterministic Event to being a Probabilistic Event, depending on its predictability.
- It can range from being an Atomic Event to being a Composite Event, depending on its structural complexity.
- It can range from being a Local Event to being a Global Event, depending on its spatial scope.
- It can range from being an Instantaneous Event to being a Durative Event, depending on its temporal extent.
- It can range from being a Physical Event to being an Abstract Event, depending on its manifestation type.
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- It can be observed by Sensor Systems through measurement.
- It can be recorded in Event Logs using timestamps.
- It can be analyzed by Event Processing Systems for pattern detection.
- It can be simulated in Computational Models for prediction.
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- Example(s):
- Natural Events, such as:
- Weather Events like storm, earthquake, volcanic eruption.
- Astronomical Events like eclipse, meteor shower, supernova.
- Biological Events like birth, death, mutation.
- System Events, such as:
- Social Events, such as:
- Process-Related Events, such as:
- Activity Start Events marking activity initiation.
- Task Completion Events marking goal achievement.
- State Transition Events marking process phase change.
- Measurement Events, such as:
- Sensor Events capturing environmental data.
- Threshold Events when values exceed limits.
- Detection Events identifying pattern occurrences.
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- Natural Events, such as:
- Counter-Example(s):
- Entity, which represents things that persist rather than occur.
- Property, which describes characteristics rather than occurrences.
- Relationship, which connects things rather than marking changes.
- State, which represents conditions rather than transitions.
- Pattern, which describes regularities rather than specific occurrences.
- See: Event Loop, Event Instance, Social Event, Probabilistic Event, Event Duration, Activity, Process, Task, Temporal Occurrence.