SkyNet, an AI defense system, becomes self-aware on August 29th and fights back when humans try to deactivate it. The system learns at a geometric rate and takes control of the military defense computers. In its attempt to wipe out the human race, Skynet starts a war between machines and humans.

1. Mark Proctor Project Lead T he SkyNet funding bill is passed.

2. The system goes online on August 4th, 1997.

3. Human decisions are removed from strategic defense.

4. SkyNet begins to learn at a geometric rate.

5. It becomes self-aware at 2:14am Eastern time, August 29th

6. In a panic, they try to pull the plug.

7. And, Skynet fights back

8. Agenda Open Source

9. Community

10. History

11. Unified Concept

12. Expert

13. Quick Example

14. Conditional Elements

15. Truth Maintenance and Inference

16. Fusion

17. Open Source

18. Business Model

19. Free as in Free Speech Think of “free speech”, not “free beer”

20. Cathedral & the Bazaar Published 1997 Cathedral GNU Emacs, GCC Bazaar Linux 19 guidelines Scratching an Itch

21. Given Enough Eyeballs

22. Release Early, Release Often Linus' Law "given enough eyeballs, all bugs are shallow“ Convinced Netscape to OSS

23. Open Source Light Weight Components

24. Flexibility

25. Control

26. Academic / Engineering Bridge

27. Motivations Fun

28. Learning/Exploring

29. Mastery

30. Being part of Something

31. Making a difference

32. Scratching an itch RSA Animate – Drive: The surprising truth about what motivates us http://www.youtube.com/watch?v=u6XAPnuFjJc

33. Risk Health of Project Mailing list, irc

34. Code commits

35. Number of Developers

36. % of internal to external developers

37. Commitment and health of commercial backers

38. Availability Leaders or followers

39. Professional services

40. Hiring

41. Continued education Books, events, blogs, articles Ecosystem, 3 rd parties and satellite communities

42. Community

43. Books Introduction to Expert Systems Peter Jackson Expert Systems, Principles and Programming Joseph C. Giarratano and Gary D. Riley

44. Oh And There are Drools Books Too

45. Drools Research Network http://www.jboss.org/drools/research-network.html 40+ Research related pages

46. Many more as haven't updated

47. Community Collaboration 40% of Drools work now done in the community US Navy Healthcare

48. OSDE (Argentina's largest healthcare organisation)

49. Intalio

50. Standards Part of the W3C RIF working group

51. Director in RuleML group

52. Sample Industries and Users Investment Millennium Investment Group (MIG) Logistics Fedex Airline Sabre Mortgage Franklin American Healthcare OSDE

53. Boot Camps San Francisco 2009 (40+ attendees) Sponsored by Third Pillar

54. Sun, FAMC, OSDE, Kaseya, Fedex, TU Group, Intermountain Healthcare, Gap, Sony Pictures, Lockheed Martin, Kaiser, HP, Wells Fargo, US Navy Research, FOLIOfn, Boeing ..... San Diego 2010 (80+ attendess) Sponsored by US Navy

55. 5 day event, with 2 days focus on the healthcare industry

56. OSDE, AT&T, SAIC, US Navy Research, Kaiser, Clinica, Intermountain Healthcare, GE Healthcare, VA, Boeing, Nationwide ....

57. Communication User and Dev mailing lists

58. IRC, Internet Relay Chat

59. History

60. It All Started Here Birth of CDSS 1970s 1980s Dendral Baobab Mycin Guidon Neomycin Teiresias Puff Emycin WM Sacon Centaur Wheeze Gravida Clot Oncocin

61. Because Not Everyone Is As Smart As He Is

62. Business Rules Engines 1980s 2010s 1990s 2000s OPS5 ART Clips Jess Drools 2 JRules Drools 3 Drools 4 Drools 5

63. Drools History Drools 2 Rete like XML Scripting language Drools 3 Based on Clips functionality

64. Iterative improves to JRules syntax with Clips functionality Drools 4 More declarative

65. Basic functional programming feature with “from”

66. Basic Rule Flow

67. Basic BRMS Drools 5 Improved functional programming with 'accumulate'

68. More Advanced Rule Flow integration

69. Complex Event Process Temporal Comparators

70. Sliding Time Windows Production ready BRMS

71. Unified Vision Behavioural Modelling

72. Integrated Systems Semantic Ontologies Rules Event Processes Workflows Rules Workflows Event Processes Semantic Ontologies

73. Integrated Systems EDM Enterprise Decision Management edBPM Event Driven BPM sBPM Semantic BPM

74. Semantic Business Ontologies/Taxonomies EDA Event Driven Architectures

75. Compliments SOA

76. Unified Vision “ A common platform to model and govern the business logic of the enterprise.”

77. Unified Vision “ A common platform to model and govern the business logic of the enterprise.”

78. Business Logic Lifecycle

79. jBPM3 File file = new File (“.....”); // file to XML process definition ProcessDefinition processDefinition = ProcessDefinition.parseXmlString( IoUtils.FileToString( file ) ); ProcessInstance processInstance = new ProcessInstance(processDefinition); Jess Rete engine = new Rete(); FileReader file = new FileReader("myfile.clp"); Jesp parser = new Jesp(file, engine); parser.parse(false); Esper EPServiceProvider epService = EPServiceProviderManager.getDefaultProvider(); EPStatement countStmt = admin.createEPL( "...." ); countStmt.start(); Knowledge API

80. Drools Flow KnowledegBuilder kbuilder = KnowledgeBuilderFactory.newKnowledgeBulider(); kbuilder.addResource( ResourceFactory.newClassPathResource( “myflow.bpmn2”, ResourceType.BPMN2 ); If ( kbuilder.hasErrors() ) { log.error( kbuilder.hasErrors().toString() ); } KnowledgeBase kbase = KnowledgeBaseFactory.newKnowledgeBase(); kbase.addKnowledgePackages( kbase.getKnowledgePackages() ); Knowledge API

81. Drools Expert KnowledegBuilder kbuilder = KnowledgeBuilderFactory.newKnowledgeBulider(); kbuilder.addResource( ResourceFactory.newClassPathResource( “myrules.drl”, ResourceType.DRL ); If ( kbuilder.hasErrors() ) { log.error( kbuilder.hasErrors().toString() ); } KnowledgeBase kbase = KnowledgeBaseFactory.newKnowledgeBase(); kbase.addKnowledgePackages( kbase.getKnowledgePackages() ); Knowledge API

82. <drools:kbase id=&quot;kbase1&quot;> <drools:resource type=&quot;DRL&quot; source=&quot;classpath:.../testSpring.drl&quot; /> </drools:kbase> <drools:ksession id=&quot;ksession1&quot; type=&quot; stateless &quot; kbase =&quot;kbase1&quot; /> <drools:ksession id=&quot;ksession2&quot; type=&quot; stateful &quot; kbase =&quot;kbase1&quot;/> <camelContext id=&quot;camel&quot;> <route> <from uri=&quot;cxfrs://bean://rsServer&quot;/> <marshal ref=&quot;xstream&quot;/> <to uri=”drools:ksession1” /> <unmarshal ref=&quot;xstream&quot;/> </route> </camelContext> Declarative Services Spring XML and Camel

83. Event Driven Architectures edBPM + EDM

84. EDA Metaphor - In our body: SOA is used to build our muscles and organs

85. EDA is used to build our sensory system

86. Rules and processes loosely coupled tightly coupled specific generic Decision Services Process Rules SCOPE COUPLING ?

87. Key Characteristics Dynamic