To understand computing technology in broader terms, we need a better understanding of the relationship between reasoning (“logic”) and everyday interaction.

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Presentation transcript:

To understand computing technology in broader terms, we need a better understanding of the relationship between reasoning (“logic”) and everyday interaction in the world (“commonsense knowledge”) 3/8/2016Philosophy and KM: Lucerne1

3/8/2016Philosophy and KM: Lucerne2 Logic and Commonsense Knowledge 1 I am at a conference in the Netherlands. I arrive late at night and hardly notice where my room is. Next morning, I notice that my room is on the top floor. I walk down to breakfast thinking about my talk later on. After breakfast I meet two other delegates X and Y. We get in the lift to return to our rooms.

3/8/2016Philosophy and KM: Lucerne3 Logic and Commonsense Knowledge 2 X presses the button for floor 4. Y says he is on the floor above X, and selects floor 5. Since the top button is selected, I don’t press a button. We talk as we ascend. The lift stops. The door opens. The floor numbers aren’t clearly marked. I say to X – ‘this must be floor 4’ – he gets out.

3/8/2016Philosophy and KM: Lucerne4 Logic and Commonsense Knowledge 3 Y and I carry on talking. When the lift next stops, the floor is still unclear. I say to Y ‘X is on the floor below you; this is your floor’. Y gets out. I think something is not quite right. I think ‘is this the top floor?’ and ‘should I get out?’. I’m unsure, but notice that the button for floor 5 is still lit.

3/8/2016Philosophy and KM: Lucerne5 Logic and Commonsense Knowledge 4 I proceed to the top floor which is the next floor, floor 5. When I get out of the lift, I can’t find my room. There’s no room where my room is on floor 5. I walk down to floor 4, and pass Y on his way to floor 5. When I reach floor 4, I meet X coming up from floor 3 … How did I manage to get all 3 of us to the wrong floor?

Can exploit (computing) technology to construct interactive artefacts for sense-making – following a well- established tradition in science and engineering … 3/8/2016Philosophy and KM: Lucerne6

3/8/2016Philosophy and KM: Lucerne7 _button1 = 1; locX = 1; locY = 4; locZ = 0; _open4 = 1; _liftfloor = 4; _car5 = 1; Observables for the lift

3/8/2016Philosophy and KM: Lucerne8 Logic and Commonsense Knowledge 5 Two key facts help to explain our confusion … 1.Someone called the lift to floor 3 and didn’t wait for it to come. I persuaded X to get out at floor 3 thinking it was floor 4. 2.I was on floor 4, which was ‘locally’ the top floor, but the lift was in a part of the building where there were 5 floors. Key features of this kind of commonsense scenario …

… key features of commonsense scenarios 1 Dependence on situation …  User Z makes non-standard use of lift  Rely on observation (‘is this floor 4?’)  Attention is selective (‘Y and I ignored lift buttons’) Many varieties of knowledge - and ignorance  Second-hand knowledge (‘Y is a floor above X’)  Implicit “facts” (‘rooms don’t move, lifts don’t jump’)  I remembered information about roof and room 3/8/2016Philosophy and KM: Lucerne9

… key features of commonsense scenarios 1 Limitations of reasoning – scope for nonsense  Lift users reason against the clock (‘at top floor?’)  What we experience isn’t necessarily consistent  Guarantees about our facts and rules obscure Key aspects of Empirical Modelling …  Exploiting the computer in sense-making “making construals”  Adopting an unusual philosophical stance “radical empiricism” – William James (1910) 3/8/2016Philosophy and KM: Lucerne10

Other resources The Empirical Modelling website is at Some examples of models are accessible online at 3/8/2016Philosophy and KM: Lucerne11