Intelligence Training, Robert Daniel
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Transcript of Intelligence Training, Robert Daniel
Train for Success TalkIntelligence Training
Robert DanielSL: Quincey Dagger
May 26, 2011
Introduction
Adjunct Professor at GWU• 10 Teaching Telecommunications• SecondLife 4 years• OpenSim for the past 3 years• FreeSwitch for the past 2 year
Intelligence Training • Using AI for training• 1st winner at the FVWC 2011 for
AI Concepts
FVWC 2011
Theme: Artificial Intelligence • Must be an AI related entry• Entries must be in a virtual environment• Examples may include
– Adaptive learning systems– Intelligent conversational bots– Adaptive behavior
• Objects• processes
http://fvwc.army.mil/index.php
Intelligence Training
Our approach to the contest• Apply as many existing AI concepts to a
Virtual World– Neural Networks– Swarm Intelligence– Natural Language processing– Speech recognition– Weak AI– Strong AI– Expert systems – etc
Intelligence Training
Our approach to the contest• We picked 6 AI Concepts
– 1. Weak AI• AIML Artificial Intelligence Mark
Language– 2. Natural Language process
• Text To Speech– 3. Statistical Machine Translation
• Google Translate with German AIM– 4. Swarm Intelligence
• Biods flying birds– 5. Speech recognition
• c– 6. Speech Processing
• Signal process with MATLAB/Octave– Neural Networks– Fuzzy Logic
Intelligence Training
Theme: Intelligence Training• HUMINT: Human Intelligence Training• OSINT: Open Source Intelligence Training• GEOINT: Geospatial Intelligence Training • SIGINT: Signal Intelligence Training
Intelligence Training
Theme: Mapped INTs to AI• Station 1
– HUMINT: Intelligent Chat Bots• Weak AI with AIML
• Station 2 – HUMINT: Text To Speech Chat Bots
• TTS using Cepstrum Voices• Station 3
– OSINT: German Text To Speech Chat Bots• Google Translate
• Station 4– GEOINT: UAV Swarms
• Boids (artificial life program)• Station 5
– SIGINT: Speech Recognition• CMU Sphinx
• Station 6– SIGINT: Speech Processing
• Using Matlab and Octave
Station 1: HUMIT Avatar
AI: AI Markup Language• In-world Intelligent Chat Bots
– Using AIML– OpenMetaverse
Station 2: HUMIT Avatar
AI: Text To Speech• In-world Intelligent Chat Bots
– Using AIML– FreeSWITCH– Cepstral Voice
Station 3: OSINT Avatar
AI: Text To Speech• In-world Intelligent German Chat Bots
– Using German AIML– FreeSWITCH– Cepstral German Voice– Google Translate
Station 4: GEOSINT Objects
AI: Boids (artificial life Program)• In-world UAV Swarms
Station 5: SIGNT Avatar
AI: Speech Recognition• In-world order a pizza
– CMU Sphinux– FreeSWITCH
Station 6: SIGINT Workstation
AI: AI MATLAB Toolkit• In-world Speech Processing
– Using MATLAB– FreeSWITCH
What’s Next
External Interfaces• Xbox Kinect
What’s Next
External Interfaces• Emotiv