On What Goes On: The Ontology of Processes and Events

1. On What Goes On:The Ontology of Processes and Events Antony Galton University of Exeter, UK

2. How are processes related to events? • Mourelatos (1981): Process and Event are disjoint subcategories of Occurrence. • Moens and Steedman (1988): Process is a subcategory of Event. • Sowa (2000): Event is a subcategory of Process. • Worboys (2004): ‘One person’s process is another’s event, and vice versa’.

3. Dictionary definitions (C.O.D., 5th edition, 1964) • Event. Fact of a thing’s happening; thing that happens, esp. important thing; any of several possible but mutually exclusive occurrences; something on the issue of which money is staked; result; outcome. • Process. Progress, course; course of action, proceeding, esp. method of operation in manufacture, printing, photography, etc.; natural or involuntary operation, series of changes • These definitions have virtually nothing in common!

4. Dictionary definitions (C.O.D., 8th edition, 1990) • Event. A thing that happens or takes place, esp. one of importance; the fact of a thing’s occurring; a result or outcome; an item in a sports programme, or the programme as a whole. (Physics) a single occurrence of a process, e.g., the ionisation of one atom; something on the result of which money is staked. • Process. A course of action or proceeding, esp. a series of stages in manufacture or some other operation; the progress or course of something; a natural or involuntary operation or series of changes; an action at law, a summons or writ.

5. A Simple Ontology

6. Continuants • Continuants endure through time; hence, they are also called endurants. • A continuant exists as a whole at each moment of its existence. • A continuant can undergo change: i.e., its properties may be different at different times, although its identity remains fixed. • It may have spatial, but not temporal parts.

7. Occurrents • Occurrents occur in time; they are also called perdurants. • An occurrent is not wholly present at any time less than its entire duration. • Rather, it has temporal parts, which may have different properties. • But the occurrent itself does not undergo change.

8. CONTINUANTS A person An aircraft An orchestra A volcano A heart OCCURRENTS A life A flight A performance An eruption A heartbeat Examples

9. Example: An Occurrent • The first solo flight across the Atlantic. • This is an occurrent (specifically: an event) • It occurred over a 33-hour period in May 1927. • Its temporal parts include the beginning (in New York) and the end (in Paris). • These properties are timeless: they cannot change.

10. Example: A Continuant • The Spirit of St Louis • This is the aircraft in which Charles Lindbergh completed the first solo flight across the Atlantic. • At each moment of the flight, the aircraft was present – not just a part of it! • At different moments, it had different properties – e.g., its position, speed, altitude. So, it underwent change.

11. Occurrents don’t change • X changes if X has property P at time t1 and ~P at time t2. • Here, one and the same entity X has different properties at different times. • A temporally extended entity has temporal parts. • If X has temporal parts X1 and X2, where X1 has property P and X2 has ~P, then it is not the same thing that has P earlier and ~P later. • Hence differences between the temporal parts of X do not constitute change in X.

12. ‘My life is becoming harder’ ‘Their lives moved apart’ ‘The battle grew fiercer’ ‘The protest became violent’ In these cases what changes is not an event but a process associated with an event. This solves nothing if processes are, like events, occurrents … But do events really not change?

13. What is a process? • Examples of processes, as I am using the term, include: • Human activities such as walking, swimming, eating, drinking, driving a car, playing the piano, pushing a barrow, peeling potatoes, writing. • Natural phenomena such as rainfall, ebb and flow of the tide, photosynthesis, circulation of the blood, flowing of a river, erosion and deposition, rotation of the earth.

14. Some non-processes • I do not include such things as the ‘process’ of making a pot of tea, making a cake, preparing the index to a book, refuelling a motor-car, or checking in at the airport. • These are closed routines consisting of a definite sequence of actions or activities leading to a specific end result. • I shall call them structured actions.

15. Key properties of processes • They are dissective: a period of time occupied by a process can be divided into subperiods each of which is occupied by that process. • They are open-ended: a process does not have an intrinsic termination beyond which it cannot continue.

16. Dissectivity • The flow of the Thames through London: it flowed throughout the twentieth century; it flowed throughout 1988; it flowed throughout March 1988; … • If I walk for an hour, then the walking process goes on during each subinterval of that hour (even over intervals shorter than a single step!)

17. Events are not dissective • The conference takes place over the period 9th-11th November. • So it doesn’t take place on the 9th November, or during the hour 2pm-3pm on that day. • Parts of the conference took place on those intervals, but not the whole conference. • (Compare: ‘part/whole of the flow of the river’ – these are spatial, not temporal!)

18. Open-endedness Processes are open-ended: • If I am walking, I can continue walking. • If the river is flowing it can continue flowing. But events are not: • If I run a mile, I cannot continue running it (though I can start another one).

19. Can processes change? • The flow of the river increases when the snow melts. • The heartbeat speeds up during exercise. • The work became more diligent when the supervisor arrived. • The music became faster/louder/more dissonant • The protest became violent.

20. Can processes change? • The grazing of the savannah became more intense. • The growth of the tree speeds up during summer. • The resurfacing work progressed from north to south along the road. • As the day continued, his driving became more erratic.

21. Processes can change! • In all these cases, we seem to have an example of a process undergoing change. • Occurrents, as described earlier, cannot undergo change. • So if we take the examples at face value, processes are not occurrents. • Which contradicts the universal assertion that processes are occurrents.

22. SNAP and SPAN • Two types of ontology, as advocated by Barry Smith and collaborators. • Grenon and Smith (2004): “A good ontology must be capable of accounting for spatial reality both synchronically (as it exists at a time) and diachronically (as it unfolds through time)”. • A SNAP ontology includes “all continuants existing at some given instant of time” (a SNAPshot). • A SPAN ontology spans a succession of instants, and contains entities extended over such spans.

23. Mathematical time • Instants correspond to real numbers, intervals correspond to convex sets of real numbers. • The ‘flow’ of time arises from the ‘stitching together’ of non-denumerably many durationless instants. • There is no change, only a static ensemble of individually static snapshots.

24. Four running men?

25. “Snapshots” are misleading • These “snapshots” are static. • But the reality they portray is dynamic. • The world at an instant comprises not just objects, but also the processes in which they are engaged. • In real life (but not in the pictures!) these processes are directly observable.

26. Even these snapshots are misleading! • The snapshots are static. • The man-like figures are not running (or even moving). • But even so, the reality portrayed here contains processes – e.g., thermal motion of atoms.

27. The flow of time does not consist of a succession of static snapshots. • If it is built up from snapshots, they are dynamic ones.

28. Motion: the most fundamental process • At time t, object a is at position p; at time t+d t, it is at a different position q. • Why is it in a different position at t+d t ? • Because it is moving! • But if “moving” means being in different positions at different times, this explains nothing. • We need the motion to be an ingredient of the world at t if we are to invoke it to explain the changes between t and t+d t.

29. Motion as an ingredient • The physical description of the world at time t includes not just objects but also their momentum and kinetic energy – these are real quantities which can be transferred from body to body and which are subject to conservation laws. • Thus motion itself (and by extension, all other processes) is part of the “furniture” of the world.

30. What can we observe at t ? • We see objects and matter. • And processes (ongoing changes of various kinds). • We do not directly see events. • To “see” an event we must make observations over a period from immediately before the event to immediately after it.

31. So where do events come from? • Events arise from processes in two main ways: • As ‘chunks’ of process: e.g., a bounded episode of walking is a walk. • As ‘boundaries’ of a process: e.g., the onset or cessation of walking. • Conversely, ‘higher-order’ processes can arise from events, typically the open-ended repetition of some event type (e.g., the pulse, oscillations generally).

32. Processes from processes and events from events • Composition: • Sequential. He ran there and back (a composite event). • Parallel. Walking and talking (a composite process). • Specialisation: • He walked home specialises He went home. • Walking with a limp specialises walking.

33. An Algebra of Processes and Events The various ways of deriving events/processes from other events/processes can, in principle, be formalised in an algebraic structure.

34. Are objects and processes distinct? • Not always, or not always clearly so. • A river can be regarded as an object or a process. • The river consists of water flowing between banks. Both the water and the flow are essential to its being a river. • At time t, the water and its flow both exist; but there is no event in sight.

35. Objects as processes • A river can plausibly be described as a process, without ontological impropriety. • But there is no plausibility whatever in describing a river as an event. • This is true of many kinds of object, e.g., living organisms. • I can see myself as a process (the process of living my life), but not as an event.

36. Processes as continuants? • Much of what we have said seems to move processes closer to objects than events: • They are directly observable features of the world at one time; • They undergo change as time proceeds. • This suggests that processes should be regarded as continuants rather than occurrents.

37. Experiential vs Historical • Alternatively, we could set aside the continuant/occurrent distinction and replace it with something else. • I favour the idea of a fundamental distinction between • experiential entities (the contents of a “dynamic snapshot”: i.e., objects and processes); and • historical entities (summative records over a sequence of snapshots: i.e., events)

38. The new picture

39. John Lyons (Semantics, 1977) “The term … ‘historical’ is intended to suggest the narration of events ordered in terms of successivity and presented dispassionately with the minimum of subjective involvement; and this mode of description clearly relates to the static, non-deictic, objective conception of time. The term ‘experiential’, on the other hand, is suggestive of the kind of description that might be given by someone who is personally involved in what he is describing; and this mode is no less clearly related to the dynamic, deictic, subjective conception of time.”

40. The Experiential Perspective (EXP) • EXP relates to the world as experienced, when it is present. • The EXP world is constantly changing – it is a world in flux. • Conversely, whatever is changeable must belong in EXP. • Hence both objects and processes, which are changeable, are EXP entities.

41. The Historical Perspective (HIST) • HIST relates to the faits accomplis, the historical record. • It contains synoptic overviews that span a succession of experiential ‘snapshots’. • HIST entities are (mostly) extended in time. • They do not themselves change, but are ‘static’ configurations of changes that have occurred.

42. SNAP / SPAN vs EXP / HIST

43. Properties of processes • Processes, like objects, can be assigned time-varying properties in the form Property (process,time). • These properties include things like speed, intensity, periodicity – all of which are possessed at individual times and can vary over time.

44. Properties of events • Events have properties such as • Duration • Time of occurrence • Cause • Outcome • Structure • These are all timeless properties that attach to the event as an complete individual.

45. Types and tokens • In Property(process,time), the process is a token, not a type, i.e., a process-individual that has its own life-history distinct from other individuals of the same type. • The type of a process can be expressed as a predicate applied to tokens, e.g., Running(john,p) & Active(p,t) states that John is running at time t.

46. Specifying events • Events can be specified internally or externally. • Internal: in terms of constituent processes by which the event occurs. • External: in terms of the net transition effected by the event. • Example: • John took a walk (internal) • John went to the station (external) • John walked to the station (internal and external)

47. Example: The Progressive Aspect • Problem: to represent the meaning of • John is walking to the station in a way that correctly captures its logical relations with sentences such as • John walked to the station • John is walking • John is at the station

48. 1. Define ‘x walks to y’ WalkTo(x,y,e) =def Walking(x,process(e)) & IsAt(x,y,result(e)) where • process(e) is the constituent process of event e. • result(e) is the situation resulting from the occurrence of e.

49. 2. Define the progressive For event type E, ProgE(p) =def $e[E(e) & process(e)=p & result(e)=goal(p)] where goal(p) is the goal or end-point towards which process p is directed.

50. John is walking to the station Prog(WalkTo(john,station))(p) • $e[WalkTo(john,station,e) & process(e)=p & result(e)=goal(p)] • $e[Walking(john,process(e)) & IsAt(john,station,result(e)) & process(e)=p & result(e)=goal(p)] • Walking(john,p) & IsAt(john,station,goal(p))