Faculty of Information Technology, BUT

Course details

Bio-Inspired Computers

BIN Acad. year 2006/2007 Summer semester 5 credits

This course introduces computational models and computers which have appeared at the intersection of hardware and artificial intelligence in the recent years as an attempt to solve traditionally hard computational problems. The course surveys relevant theoretical models, reconfigurable architectures and computational intelligence techniques inspired at the levels of phylogeny, ontogeny and epigenesis. In particular, the following topics will be discussed: evolutionary design, evolvable hardware, cellular systems, embryonic, immune and neural hardware, polymorphic electronics and molecular computers. Typical applications will illustrate the mentioned approaches.

Guarantor

Language of instruction

Czech

Completion

Examination (written)

Time span

26 hrs lectures, 8 hrs pc labs, 18 hrs projects

Assessment points

50 exam, 20 half-term test, 30 projects

Department

Lecturer

Instructor

Subject specific learning outcomes and competences

Students will be able to utilize evolutionary algorithms to design electronic circuits. They will be able to model, simulate and implement non-conventional, in particular bio-inspired, computational systems.

Generic learning outcomes and competences

Understanding the relation between computers (computing) and some natural processes.

Learning objectives

To understand the principles of bio-inspired computational systems. To be able to use the bio-inspired techniques in the phase of design, implementation and runtime of a computational device.

Study literature

  • Greenwood, G., Tyrrell, A.: Introduction to Evolvable Hardware. A Practical Guide for Designing Self-Adaptive Systems. IEEE Press Series on Computational Intelligence, 2006, ISBN 0-471-71977-3
  • Higuchi, T., Liu, Y., Yao, X.: Evolvable Hardware. Springer Verlag, 2006, ISBN: 0-387-24386-0
  • Zebulum, R., Pacheco, M., Vellasco, M.: Evolutionary Electronics - Automatic Design of Electronic Circuits and Systems by Genetic Algorithms. CRC Press, Boca Raton, 2002, 299 p., ISBN 0-8493-0865-8

Fundamental literature

  • Greenwood, G., Tyrrell, A.: Introduction to Evolvable Hardware. A Practical Guide for Designing Self-Adaptive Systems. IEEE Press Series on Computational Intelligence, 2006, ISBN 0-471-71977-3
  • Higuchi, T., Liu, Y., Yao, X.: Evolvable Hardware. Springer Verlag, 2006, ISBN: 0-387-24386-0  
  • Zebulum, R., Pacheco, M., Vellasco, M.: Evolutionary Electronics - Automatic Design of Electronic Circuits and Systems by Genetic Algorithms. CRC Press, Boca Raton, 2002, 299 p., ISBN 0-8493-0865-8
  • Sekanina, L.: Evolvable Components - From Theory to Hardware Implementations, Berlin, DE, Springer, 2003, 194 p., ISBN 3-540-40377-9
  • Sipper, M.: Evolution of Parallel Cellular Machines - The Cellular Programming Approach. LNCS 1194, Springer, 1997, 198 p., ISBN 3-540-62613-1

Syllabus of lectures

  1. Introduction and motivation
  2. Natural computing: inspiration, computational platforms, classification
  3. Limits of abstract and physical computing 
  4. Reconfigurable devices
  5. Creative evolutionary design
  6. Cartesian genetic programming
  7. Evolvable hardware
  8. Evolvable hardware, applications
  9. Evolution and development, cellular automata, L-systems
  10. Embryonic electronics, cellular computational platforms, Cell Matrix, POEtic
  11. Immunological, neural and polymorphic hardware
  12. Nanotechnology and molecular electronics
  13. DNA computing
  14. Recent trends

Syllabus - others, projects and individual work of students

A project will be assigned to each student. Implementation, presentation and documentation of the project will be evaluated.

Progress assessment

Mid-term exam, project

Exam prerequisites

None

Course inclusion in study plans

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