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Artificial General Intelligence and Modes of Learning
Peter Voss Founder/ CEO
Adaptive A.I. Inc
Smart Action Company, LLC
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Rules Fest 2010 -- Peter Voss
Artificial General Intelligence and Modes of Learning
AGI, what ?
Architecture
Modes of Learning
Virtual Agents
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Rules Fest 2010 -- Peter Voss
AGI is ‘Real’ AI
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Rules Fest 2010 -- Peter Voss
Why Now?
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Rules Fest 2010 -- Peter Voss
What is Intelligence?
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Rules Fest 2010 -- Peter Voss
What kind of Intelligence interests us?
Knowledge Skills Learning
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Rules Fest 2010 -- Peter Voss
What kind of Intelligence interests us?
Human like cognitive ability
Abstract Concepts
Context
Meta-Cognition
Ultimately, human level
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Rules Fest 2010 -- Peter Voss
AGI versus Narrow AI
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Rules Fest 2010 -- Peter Voss
AGI versus Narrow AI
Narrow A I AGI
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Rules Fest 2010 -- Peter Voss
Development Framework
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Rules Fest 2010 -- Peter Voss
AGI Engine
Interactive, Real-time
‘Neural Gas’- like Ontology
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Rules Fest 2010 -- Peter Voss
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Rules Fest 2010 -- Peter Voss
AGI Engine
Interactive, Real-time
‘Neural Gas’- like Ontology
Network of Probabilistic Rules
Context/ Bias
Self-modifying
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Rules Fest 2010 -- Peter Voss
Acquiring Knowledge & Skills
Built in Feature extractors/ encoders Look up Instance learning (one-shot) Unsupervised (clustering) Exploration (random or structured) Ape (copy/ mirror) Guided (hand holding) Instructed (voice, gesture, text, etc) Supervised (categorize, label) Self-supervised (internally monitor results) RL (explicit reward signal) Study (read, view) Figure out
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Rules Fest 2010 -- Peter Voss
AGI Development Path…
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Rules Fest 2010 -- Peter Voss
A Brief Company History
4 years AGI Research
Platform development
6 people
2 years AGI engine/ P.A.
development 9 people
1 year Product
development: Virtual call center
agent 15 people
2 years Commercial operations
Improve capabilities 28 people
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Rules Fest 2010 -- Peter Voss
Types of Automation
Transaction Complexity
Tone IVR
Cost
Human agents
Speech IVR
Smart IVR Smart IVR Smart Action IVR
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Rules Fest 2010 -- Peter Voss
Virtuous Cycle Bootstrap
Biz R&D
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Rules Fest 2010 -- Peter Voss
Imagine…
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Rules Fest 2010 -- Peter Voss
Success Trajectory
Researcher (consolidate and upgrade capabilities)
Research Assistant (abstract, contextual concepts)
Dynamic systems controller (physics, calculus)
Web programmer (syntax, object relationship, etc.)
Software QA (logic, algebra, etc.)
o Complex conversations (troubleshooting, etc.)
First practical AGI-engine based application
Personal Assistant prototype
AGI development framework
Theory of general intelligence
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Rules Fest 2010 -- Peter Voss
Desirable AGI Characteristics
X
X
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Rules Fest 2010 -- Peter Voss
What Practical Advice?
Be ambitious - we can now do more than you think
If you can afford it, create general solutions
Don't be limited by rules vs. NN dichotomy
Utilize vast network of online resources: code, papers, coders, social networking
Think big (said that already?) - and love what you do.
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Rules Fest 2010 -- Peter Voss
Thank You
Peter Voss
www.AdaptiveAI.com
www.SmartAction.com
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Rules Fest 2010 -- Peter Voss