Course details

Bio-Inspired Computers

BIN Acad. year 2018/2019 Summer semester 5 credits

Current academic year

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, embryonal and neural hardware, molecular computers and nanotechnology. Typical applications will illustrate the mentioned approaches.

Guarantor

Deputy Guarantor

Bidlo Michal, Ing., Ph.D. (DCSY FIT BUT)

Language of instruction

Czech

Completion

Examination (written)

Time span

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

Assessment points

52 exam, 15 half-term test, 8 labs, 25 projects

Department

Lecturer

Instructor

Bidlo Michal, Ing., Ph.D. (DCSY FIT BUT)
Husa Jakub, Ing. (DCSY FIT BUT)
Vašíček Zdeněk, doc. Ing., Ph.D. (DCSY FIT BUT)
Wiglasz Michal, Ing. (DCSY FIT BUT)

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

  • Sekanina L., Vašíček Z., Růžička R., Bidlo M., Jaroš J., Švenda P.: Evoluční hardware: Od automatického generování patentovatelných invencí k sebemodifikujícím se strojům. Academia Praha 2009, ISBN 978-80-200-1729-1
  • Floreano, D., Mattiussi, C.: Bioinspired Artificial Intelligence: Theories, Methods, and Technologies. The MIT Press, Cambridge 2008, ISBN 978-0-262-06271-8
  • Trefzer M., Tyrrell A.M.: Evolvable Hardware - From Practice to Application. Berlin: Springer Verlag, 2015, ISBN 978-3-662-44615-7
  • Kvasnička, V., Pospíchal J., Tiňo P.: Evolučné algoritmy. Vydavatelství STU Bratislava, 2000, 215 s., ISBN 80-227-1377-5
  • Mařík et al.: Umělá inteligence IV, Academia, 2003, 480 s., ISBN 80-200-1044-0

Fundamental literature

  • Sekanina L., Vašíček Z., Růžička R., Bidlo M., Jaroš J., Švenda P.: Evoluční hardware: Od automatického generování patentovatelných invencí k sebemodifikujícím se strojům. Academia Praha 2009, ISBN 978-80-200-1729-1 
  • Floreano, D., Mattiussi, C.: Bioinspired Artificial Intelligence: Theories, Methods, and Technologies. The MIT Press, Cambridge 2008, ISBN 978-0-262-06271-8
  • Trefzer M., Tyrrell A.M.: Evolvable Hardware - From Practice to Application. Berlin: Springer Verlag, 2015, ISBN 978-3-662-44615-7
  • 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
  • Miller J.F.: Cartesian Genetic Programming, Springer Verlag 2011, ISBN 978-3-642-17309-7

Syllabus of lectures

  1. Introduction, inspiration in biology, entropy and self-organization
  2. Limits of abstract and physical computing
  3. Evolutionary design
  4. Cartesian genetic programming
  5. Reconfigurable computing devices
  6. Evolutionary design of digital circuits
  7. Evolutionary circuit design, extreme environments
  8. Evolvable hardware, applications
  9. Computational development
  10. Neural hardware
  11. DNA computing
  12. Nanotechnology and molecular electronics
  13. Recent trends

Syllabus of computer exercises

  1. Evolutionary design of combinational circuits
  2. Statistical evaluation of experiments with evolutionary design
  3. Virtual reconfigurable circuits
  4. Celulární automaty

Progress assessment

Mid-term exam, project and its presentation, computer lab assignments. 

Controlled instruction

Mid-term exam, realization and presentation of the project, computer lab assignments in due dates. In the case of a reported barrier preventing the student to defend the project or solve a lab assignment, the student will be allowed to defend the project or solve the lab assignment on an alternative date.

Exam prerequisites

None

Course inclusion in study plans

  • Programme IT-MSC-2, field MBI, 1st year of study, Compulsory
  • Programme IT-MSC-2, field MBS, MGM, MIS, MSK, any year of study, Elective
  • Programme IT-MSC-2, field MIN, any year of study, Compulsory-Elective group I
  • Programme IT-MSC-2, field MMM, any year of study, Compulsory-Elective group N
  • Programme IT-MSC-2, field MPV, any year of study, Compulsory-Elective group B
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