Title:

Evolutionary and Unconventional Hardware

Code:EUD
Ac.Year:2017/2018
Term:Summer
Curriculums:
ProgrammeBranchYearDuty
CSE-PHD-4DVI4-Elective
Language:Czech
Completion:examination (verbal)
Type of
instruction:
Hour/semLecturesSem. ExercisesLab. exercisesComp. exercisesOther
Hours:260000
 ExaminationTestsExercisesLaboratoriesOther
Points:1000000
Guarantee:Sekanina Lukáš, prof. Ing., Ph.D., DCSY
Lecturer:Sekanina Lukáš, prof. Ing., Ph.D., DCSY
Faculty:Faculty of Information Technology BUT
Department:Department of Computer Systems FIT BUT
 
Learning objectives:
  To understand the principles of bio-inspired and unconventional computational systems. To be able to use the bio-inspired and other unconventional techniques in the phase of design, implementation and runtime of a computational device.
Description:
  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 electronics, DNA computing and nanotechnology. Typical applications will illustrate the mentioned approaches.
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.
Syllabus of lectures:
 
  1. Introduction: Traditional models of computation, their limits and super-Turing computing
  2. Computer hardware, implementation limits
  3. Natural computing: inspiration, computational platforms, classification
  4. Reconfigurable devices
  5. Cartesian genetic programming
  6. Evolutionary design of digital circuits
  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. Nanotechnology and molecular electronics
  12. DNA computing
  13. Recent trends
Syllabus - others, projects and individual work of students:
 A project will be assigned to each student. 
Fundamental literature:
 
  • Floreano, D., Mattiussi, C.: Bioinspired Artificial Intelligence: Theories, Methods, and Technologies. The MIT Press, Cambridge 2008, ISBN 978-0-262-06271-8
  • 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  
  • 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 
Study literature:
 
  • Floreano, D., Mattiussi, C.: Bioinspired Artificial Intelligence: Theories, Methods, and Technologies. The MIT Press, Cambridge 2008, ISBN 978-0-262-06271-8
  • 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
  • Mařík et al.: Umělá inteligence IV, Academia, 2003, 480 s., ISBN 80-200-1044-0
  • 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 
Controlled instruction:
  Elaboration and presentation of a project.