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A Brave New Matrix Theophanes E. Raptis Division of Applied Technology R&D Unit NCSR DEMOKRITOS 22 April 2008.

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Presentation on theme: "A Brave New Matrix Theophanes E. Raptis Division of Applied Technology R&D Unit NCSR DEMOKRITOS 22 April 2008."— Presentation transcript:

1 A Brave New Matrix Theophanes E. Raptis rtheo@dat.demokritos.gr Division of Applied Technology R&D Unit NCSR DEMOKRITOS 22 April 2008

2 Research Topics A. Intelligent Agents for Mobile Bots, WiFi – WiMax Nets B. Advanced Embedded Sensor Software for recognition-classification (Symbolic Transform) ‏ C. Automatic Real Time Optimization

3 “The Forthcoming Singularity” Ray Kurzweil  Total Integration of Mobile-WiMax- Sat-internet 2010-2020.  BCI/BMI Technology commercially available (Brain Computer/Machine Interface) near 2010.  New Intelligent Operating Systems for future peripherals (Immersive/Ambient VR control).

4 Interrelated themes Interrelated themes  Artificial Volition-Art. Emotion – Art. Consciousness – Art. Intelligence –ALife  Work started in UK ( “Applied Endophysics Ltd” 2001-2003 ) ‏  MoD Report on “Unmanned Combat Vehicles” 2002(Prj. “Xcalibur”) ‏  Accomplishment: “Universal Lexicons Theory” – A unified theory of information production, transmission and dissipation based on Number Theory

5 A. Intelligent Agents Design  Need for “Character”- Agent Personality Definition  Phenomenological Emotional Models for Agent Personalization (5-dim character model from psychology) ‏  “Meme” Agents absorbing User Personality  Need for user's personal data security

6 From IPhone to Meta-Phone  Beyond simple communication: Total User Interface (TUI) towards other users  1 st Example: Red Tacton System for HAN (Human Area Networks) from Japan NTT (www.redtacton.com) ‏ www.redtacton.com  Automatic Market Parameters Evaluation from user activities (asset) ‏  Towards a “playful society” (M. Minsky) From Passive “Users” to active “Players”.

7  Mobile services must enhance “player's” activities and capacities while securing their personal data without compromising flexibility  Need for higher intelligence!  Capacities: automatic geo-location of other users u. c. *, automatic exchange of TUI profile data u.c., automatic recording of user's commercial activities and transfer to companie's databases under fee * = under consent

8 B. Recognition Agents  Need for mobile/pc agents able to absorb user profile data.  Need for optical recognition, classification and compression (face recon., moving objects, etc.) ‏  Software developed in MATLAB for all the above based on “Symbolic Transform” (Unpublished/Proprietary) ‏  Originated from UAV/UCAV research in UK

9 The Symbolic Transform  UL theory allows to find new information measures and functional indices for image compression and classification.  The purpose would be to be able to categorize faces or other objects by a bunch of unique complex vectors. Other interesting properties of this indexing scheme are currently under investigation

10 Turn a Face to a Signal! Input : N x M Image Matrix Output : 1-Dim Signal You can even hear what your face “sounds” like!

11 C.Real Time Optimization  Initially devised for “lock” and maneuvering UCV trajectories and adaptive controllers  Based on new Non-Riemannian Compactification – Lorentz Transform of objective function- Simplex grid on n-dim. Hypersphere.  Avoid local minima without derivative calculation! Fast and easy to implement in FPGA/ECA

12 The AVE Module (Artificial Volition Engine)‏  Traditional A.I. fails to understand Volition (“will”) based on desire  Recent advances in Robotics – 5-Dim Personality Model – Emotions Generator (Waseda University/Anthropomorphic Robotics) ‏  Predescessor: PROLOG based Goal- Planning for Autonomous Agents  Need to introduce Non-linearity and Non- stationarity – Game Theoretic Approaches

13 Cellular Automata : ALife and Digital Universes "Reversible Cellular Automata without memory.". 19th summer School on Nonlinear Science and Complexity. July 2006 Reversibility and Criticality in a Deterministic "Self-Extracting" Bak Sneppen Automaton“ 20th Nonlinear Science and Complexity International Conference, Patras, July 2007


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