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Cognitive Systems for Nature Inspired Creative Design


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Cognitive Systems for Nature Inspired Creative Design

  1. 1. Cognitive Systems for Nature Inspired Creative Design Ashok K. Goel Design & Intelligence Laboratory, School of Interactive Computing, Center for Biologically Inspired Design IBM Cognitive Systems Webinar, December 2014
  2. 2. Cognitive Science Artificial Intelligence Human-Centered Computing Cognitive Systems 1985 1995 2005
  3. 3. Design Thinking Computational Creativity Systems Thinking Analogical Thinking Visual Thinking Meta Thinking Abductive Thinking
  4. 4. Research Faculty Rugaber Faculty Goel
  5. 5. Biomimicry or Biologically Inspired Design Problem-Driven Design: Design of the nose of Shinkansen 500, the Japanese bullet train, imitating Kingfisher’s beak
  6. 6. Solution-Based Design Example: Design of windmill turbines mimicking the tubercles on the pectoral flippers of humpback whales Frank Fish, Liquid Life Laboratory, West Chester University
  7. 7. DILab Research Methodology for Studying Biologically Inspired Design Information Services and Computational © Copyright 2013 Georgia Institute of Technology 7 4. Develop 4. Develop 4. Develop Information Information Services Services & Computational and Computational Tools Tools Tools 1. Observe Design Practices 2. Develop Cognitive Models 3. Develop Pedagogical Techniques 5. Evaluate (Formative, Situated) Cognitive Theory Design Theory
  8. 8. Situated Analogy 8
  9. 9. Eight Cognitive Challenges of Biologically Inspired Design 1. Communication across disciplines 2. Understanding biological and technological systems 3. Understanding the design processes 4. Specifying problems 5. Searching for biological analogies 6. Evaluating biological analogies 7. Analogical transfer 8. Evaluating design solutions
  10. 10. Cognitive Challenge Our Solution 1. Communicating across disciplines Shared language 2. Understanding systems Model schema 3. Understanding design processes Library of case studies 4. Specifying problems Problem schema 5. Searching for analogies Search engine for the web 6. Evaluating biological analogies Matching and mapping 7. Analogical transfer Design patterns 8. Evaluating design solutions Modeling, Simulation
  11. 11. SBF Model of Superhydrophobic Effect of Lotus Leafs Function: Self Clean Of: Lotus Leaf Contaminants ▪ Location: on leaf By-external stimulus: Drop of rain falling on the leaf By-function: Cause Superhydrophobic Effect Of: Leaf Water droplet ▪ Location: near contaminants ▪ Shape: spherical By-function: Make Water Droplet Roll over contaminants Of: Leaf By-function: Reduce area of contact b/w contaminants and leaf surface Of: Nano bumps By-structural-constraint : Nano bumps on leaf surface By-function: Absorb particle Of: Water droplet By-structural-constraint: (Force of absorption > Forces between particles and leaf surface) Contaminants ▪ Location: on water droplet By-function: Make water droplet roll beyond the edge Of: Leaf Water droplet ▪ Location: not on leaf Contaminants ▪ Location: not on leaf Function: Cause Superhydrophobic Effect Of: Leaf Water droplet ▪ Location: falling ▪ Shape: -NA- By-function: Make surface non-wettable Of: Nano bumps By-structural-constraint: Nano bumps on leaf surface By-domain-principle: Young’s equation Water droplet ▪ Location: on leaf ▪ Shape: spherical ▪ Contact angle (q ) > 120° gL,V gS,L q gS,V Function: Make Water Droplet Roll Of: Leaf Water droplet ▪ Location: x ▪ Inertial mass: M, Mass: m, ▪ Composite drag: D q x By-structural-constraint: Incline of the leaf By-structural-constraint: Spherical shape of water droplet By-principle: Laws of motion on inclined plane Water droplet ▪ Location: y v(y) = √(2y (-mg sinq - D) / M) y x Behavior: Self Cleaning Behavior
  12. 12. DANE (Design by Analogy to Nature) 105,000 hits, > 3400 unique users 1. Explicit representation of functions
  13. 13. Explicit Representation of Mechanism
  14. 14. Explicit Representation of Problem Decomposition
  15. 15. Finding biological analogues on the web: Challenges Findability Recognizability Understandability © Copyright 2013 Georgia Institute of Technology 15
  16. 16. Biologue !"#$ !%#$ !&#$
  17. 17. Findability © Copyright 2013 Georgia Institute of Technology 17 Results from Biologue: Findability
  18. 18. Recognizability © Copyright 2013 Georgia Institute of Technology 18 Results from Biologue: Recognizability
  19. 19. IBID (Intelligent Biologically Inspired Design) Accessing biology articles from the web via natural language processing
  20. 20. IBID (administration)
  21. 21. IBID (ontology)
  22. 22. BIDE: Interactive Design Environment Visual Sketchpad © Copyright 2013 Georgia Institute of Technology 22 Specifying Design Problems Biological Analogies Understanding Biological Systems Evaluating Analogies Evaluating Analogies Digital 4. Evaluation Notebook Modeling and Simulation Pattern Pattern Abstraction CCaassee S Sttuuddieiess Abstraction
  23. 23. Acknowledgements © Copyright 2013 Georgia Institute of Technology