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| = DBM130 - Designing Intelligence in Interaction - Q2 2016 = <<TableOfContents>> == Assignment resources == * The assignment resources are mentioned in the AssignmentDescription == Schedule == {{attachment:schedule.jpg||width=800}} == Lecture and workshop materials and instructions == === Lecture 1: Intelligence for optimization - Loe Feijs === Intelligence for optimization. There exists algorithms for solving a class of problems called "combinatorial optimization". Typical examples are finding the shortest path in a network (packet routing), finding a tour along cities (delivery service) or finding an optimal path along graph edges (3D printing). Loe Feijs will illustrate the famous traveling salesman problem showing an interactive and intelligent G-code generator project for shoe soles (joint work with Troy Nachtigall). Another illustration is the optimal computerized embroidery path for the Pied de Pulse project (joint work with Marina Toeters). {{attachment:sole.jpg||height=200}} {{attachment:pieddepulse.jpg||height=200}} References: Feijs, L.M.G. & Toeters, M.J. (2016). Pied de pulse: packing embroidered circles and coil actuators in pied de poule (houndstooth). In C. Sequin, D. McKenna, E. Torrence, R. Sarhangi, B. Torrence & K. Fenyvesi (Eds.), Proceedings of Bridges 2016: Mathematics, Music, Art, Architecture, Education, Culture, Jyväskylä, August 9-13, 2016 (pp. 415-418), http://archive.bridgesmathart.org/2016/bridges2016-415.html Feijs, L.M.G., Nachtigall, T., Tomico, O. Sole Maker: Towards Ultra-personalised Shoe Design Using Voronoi Diagrams and 3D Printing. Proceedings of SMI'2016 Fabrication and Sculpting Event (FASE), Reprinted in: Hyperseeing, Tthe Publication of the international Society of Arts, Mathematics and Architecture; SUMMER 2016, http://www.geometrysummit.org/proceedings/fase2016/papers/1.pdf * [[attachment:Lecture1.pdf|Lecture 1 slides]] === Lecture 2: Information processing for learning systems - Matthias Rauterberg === * [[attachment:Lecture2.pdf|Lecture 2 slides]] === Lecture 3: Pattern recognition and neural network - Jun Hu === * [[attachment:Lecture3.pdf|Lecture 3 slides]] === Lecture 4: Design of social scenarios - Emilia Barakova === * [[attachment:Lecture4.pdf|Lecture 4 slides]] === Lecture 5: Adaptivity in games - Erik van der Spek === * [[attachment:Lecture5.pdf|Lecture 5 slides]] === Lecture 6: Supporting the design of intelligent systems with OOCSI - Mathias Funk === Designing intelligent products nowadays often means designing intelligent systems, or simply designing systems that act in smart ways for the purpose of improving the quality of life for stakeholders. System design is neither easy, nor well-understood as it happens in a multi-disciplinary design space that borders interaction design, complex adaptive systems, and engineering distributed systems. In this lecture/week we will look at the challenges, important values and tools for system design. We will use OOCSI and its system-level building blocks to design systems in a hands-on way; this will be done in a short group project. * [[attachment:Lecture6.pdf|Lecture 6 slides]] === Lecture 7: Control systems, dynamic systems, and Blocks World - Frank Delbressine === * [[attachment:Lecture7.pdf|Lecture 7 slides]] === Lecture 8: Simulating behavior - Peter Peters === * [[attachment:Lecture8.pdf|Lecture 8 slides]] == Deliverables == * TBD == Rubrics == {{attachment:rubrics.jpg}} <<Anchor(installNetLogo)>> == Installing NetLogo == 1. Follow the instructions on the [[https://ccl.northwestern.edu/netlogo/|NetLogo website]] to download and install NetLogo 1. Check out the description [[https://ccl.northwestern.edu/netlogo/docs/|here]] and the [[https://ccl.northwestern.edu/netlogo/videos.shtml|videos]] |
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