7. large axiom sets
• OpenCYC library tries to collect the human’s common sense
knowledge into a comprehensive library with the aim of allowing
AI applications to perfom human-like reasoning[1]
6
8. large axiom sets
• OpenCYC library tries to collect the human’s common sense
knowledge into a comprehensive library with the aim of allowing
AI applications to perfom human-like reasoning[1]
• Up to 500MB of data and millions of axioms
6
9. large axiom sets
• OpenCYC library tries to collect the human’s common sense
knowledge into a comprehensive library with the aim of allowing
AI applications to perfom human-like reasoning[1]
• Up to 500MB of data and millions of axioms
• Other huge axiom sets are extracted from libraries such as
SUMO and MIZAR
6
22. benchmarking
• Tests were performed on a virtualized server with 4 2.6 GHz Intel
CPUs with 8 threads
19
23. benchmarking
• Tests were performed on a virtualized server with 4 2.6 GHz Intel
CPUs with 8 threads
• Chosen TPTP Problems:
19
24. benchmarking
• Tests were performed on a virtualized server with 4 2.6 GHz Intel
CPUs with 8 threads
• Chosen TPTP Problems:
• 51 Problems
19
25. benchmarking
• Tests were performed on a virtualized server with 4 2.6 GHz Intel
CPUs with 8 threads
• Chosen TPTP Problems:
• 51 Problems
• 479 Megabytes on disk
19
26. benchmarking
• Tests were performed on a virtualized server with 4 2.6 GHz Intel
CPUs with 8 threads
• Chosen TPTP Problems:
• 51 Problems
• 479 Megabytes on disk
• 3,341,984 Formulae
19
27. benchmarking
• Tests were performed on a virtualized server with 4 2.6 GHz Intel
CPUs with 8 threads
• Chosen TPTP Problems:
• 51 Problems
• 479 Megabytes on disk
• 3,341,984 Formulae
• Test Setup:
19
28. benchmarking
• Tests were performed on a virtualized server with 4 2.6 GHz Intel
CPUs with 8 threads
• Chosen TPTP Problems:
• 51 Problems
• 479 Megabytes on disk
• 3,341,984 Formulae
• Test Setup:
• The deduction server ran in the single strategy mode using the
same strategy as the plain eprover
19
29. benchmarking
• Tests were performed on a virtualized server with 4 2.6 GHz Intel
CPUs with 8 threads
• Chosen TPTP Problems:
• 51 Problems
• 479 Megabytes on disk
• 3,341,984 Formulae
• Test Setup:
• The deduction server ran in the single strategy mode using the
same strategy as the plain eprover
• Time Limit: 30 Seconds
19
30. benchmarking
• Tests were performed on a virtualized server with 4 2.6 GHz Intel
CPUs with 8 threads
• Chosen TPTP Problems:
• 51 Problems
• 479 Megabytes on disk
• 3,341,984 Formulae
• Test Setup:
• The deduction server ran in the single strategy mode using the
same strategy as the plain eprover
• Time Limit: 30 Seconds
• Memory Limit: 1024 MB
19
31. benchmarking
• Tests were performed on a virtualized server with 4 2.6 GHz Intel
CPUs with 8 threads
• Chosen TPTP Problems:
• 51 Problems
• 479 Megabytes on disk
• 3,341,984 Formulae
• Test Setup:
• The deduction server ran in the single strategy mode using the
same strategy as the plain eprover
• Time Limit: 30 Seconds
• Memory Limit: 1024 MB
• Time was recorded after 5, 10, 20, 30, 40 and all 51 problems
19
33. deduction as a service
• Having a hosted deduction server will allow users to connect to
the remote server and have their own sessions
21
34. deduction as a service
• Having a hosted deduction server will allow users to connect to
the remote server and have their own sessions
• A win for:
21
35. deduction as a service
• Having a hosted deduction server will allow users to connect to
the remote server and have their own sessions
• A win for:
• Users who cannot install the prover due to compatiblity issues
21
36. deduction as a service
• Having a hosted deduction server will allow users to connect to
the remote server and have their own sessions
• A win for:
• Users who cannot install the prover due to compatiblity issues
• Users who have limited resources
21
37. deduction as a service
• Having a hosted deduction server will allow users to connect to
the remote server and have their own sessions
• A win for:
• Users who cannot install the prover due to compatiblity issues
• Users who have limited resources
• Before The protocol, apps used to interacting with E by invoking
the executable in a subprocess. The interaction protocl will
make it much easier to intgerate apps with E
21
44. • Benchmarking results shows that the deduction server mode
outperforms plain eprover in large axiom sets with shared
knowledge bases
25
45. • Benchmarking results shows that the deduction server mode
outperforms plain eprover in large axiom sets with shared
knowledge bases
• Offering deduction as a hosted service will allow users to use
remote theorem provers on powerful servers
25
46. • Benchmarking results shows that the deduction server mode
outperforms plain eprover in large axiom sets with shared
knowledge bases
• Offering deduction as a hosted service will allow users to use
remote theorem provers on powerful servers
• The interaction protocol makes integrating apps with E much
easier
25