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Reactive Learning Agents
The document discusses the design and functionality of reactive learning agents, emphasizing the integration of sensors, actuators, and knowledge functions within intelligent systems. It highlights the importance of reactive machine learning strategies in handling uncertain data and leveraging distributed databases. Additionally, it mentions various tools and languages, such as Elixir, that support the development of these agents.
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Reactive Learning Agents
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- 20. Reactive Strategies Replication ContainmentSupervision
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- 22. Reactive Machine Learning UncertainDataInfinite Data Laziness Pure Functions Immutable Facts Possible Worlds
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- 31. Source of AIComponents
- 32. Source of AIComponents Yours
- 33. Source of AIComponents Other People’s Yours
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- 35. Sensors •Email •Messaging Platforms •Phone cameras& sensors •Wearables
- 36. Sensors •Email •Messaging Platforms •Phone cameras& sensors •Wearables •Your Data Collection Systems
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- 43. Reactive Data Collection •Replicationvia Distributed databases •Event-sourcing/immutable fact databases •Uncertainty-aware data models •AP Databases https://skillsmatter.com/skillscasts/7038-lightning-talks-2
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- 46. Actuators •Messaging platforms •Email •Notifications •External APICalls •Robots •Self-driving Cars •Internal API Calls
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- 52. Knowledge •External Datasets •Knowledge asa Service APIs
- 53. Knowledge •External Datasets •Knowledge asa Service APIs •Your Training corpus •Institutional knowledge
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- 56. Reactive Knowledge Systems Adaptedfrom https://github.com/mitchellhenke/circuit_breaker
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- 63. Learning •Machine Learning as aService APIs •Open Source Libraries
- 64. Learning •Machine Learning as aService APIs •Open Source Libraries •Your novel Algorithms •Organizational Learning
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- 76. Agent Function •??? •YourWhole system
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- 84. Dialyzer in Action ml_system.ex:3:Function predict/1 has no local return ml_system.ex:6: The call 'Elixir.MLSystem':call_model_b(feature@1::number()) will never return since it differs in the 1st argument from the success typing arguments: (binary()) ml_system.ex:22: Invalid type specification for function 'Elixir.MLSystem':call_model_b/1. The success typing is (binary()) -> binary() ml_system.ex:23: Function call_model_b/1 has no local return
- 85. Dialyzer in Action ml_system.ex:24:The call 'Elixir.String':upcase(feature@1::number()) will never return since the success typing is (binary()) -> bitstring() and the contract is (t()) -> t() ml_system.ex:38: Function ensemble/1 will never be called
- 86. Testing Agent Functions ToolTests Dialyzer Types QuickCheck Properties Concuerror Interleavings
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- 90. Reactive Machine Learning UncertainDataInfinite Data Laziness Pure Functions Immutable Facts Possible Worlds
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- 92. Reactive Machine Learning reactivemachinelearning.com @jeffksmithjr Usethe code gdgnycmu for 39% off the book!
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- 94. x.ai @xdotai hello@human.x.ai New York, NewYork We’re hiring!
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