Faculty of Information Technology, BUT

Course details

Bio-Inspired Computers

BIN Acad. year 2007/2008 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 hardware, molecular computers and nanotechnology. 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, 10 labs, 20 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, inspiration in biology, natural computing
  2. Limits of abstract and physical computing
  3. Reconfigurable computing devices
  4. Creative evolutionary design
  5. Cartesian genetic programming
  6. Evolutionary design of digital circuits
  7. Evolutionary circuit design, extreme environments
  8. Evolvable hardware, applications
  9. Evolution and development
  10. Embryonic electronics, cellular computational platforms, Cell Matrix, POEtic
  11. DNA computing
  12. Nanotechnology and molecular electronics
  13. 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, computer lab assignments

Exam prerequisites

None

Course inclusion in study plans

Back to top