1 Why computer science needs philosophy Barry Smith National Center for Ontological Research.

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Presentation transcript:

1 Why computer science needs philosophy Barry Smith National Center for Ontological Research

2 Shimon Edelman’s Riddle of Representation two humans, a monkey, and a robot are looking at a piece of cheese; what is common to the representational processes in their visual systems?

3 Answer: The cheese, of course

4 the prehistory of science

5 There is no problem of the unity of science because all science can be stored inside one person’s head

6 The era of empiricism If two scientists disagree they resolve their disagreement by examining reality

7 The problem of the unity of science is solved by reality itself

8 the brief logical positivist interlude

9 A science is a collection of propositions (Bolzano: each science is identified with an ideal scientific textbook) The problem of the unity of science is a problem of logic

10 The new age of science

11 A science is a collection of databases and associated algorithms The problem of the unity of science is a problem of computer science

14 To solve the problem of the unity of science, what we need is an ‘information model’

15 caBIO Design Artifacts – UML Class Diagrams

16

17 The new age of science

18 The new age of science

19 The new age of science