Course details
Bio-Inspired Computers
BIN Acad. year 2018/2019 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, embryonal and neural hardware, molecular computers and nanotechnology. Typical applications will illustrate the mentioned approaches.
Guarantor
Course coordinator
Language of instruction
Completion
Time span
- 26 hrs lectures
- 8 hrs pc labs
- 18 hrs projects
Assessment points
- 52 pts final exam (written part)
- 15 pts mid-term test (written part)
- 8 pts labs
- 25 pts 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.
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
- 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
- Miller J.F.: Cartesian Genetic Programming, Springer Verlag, 2011, ISBN 978-3-642-17309-7
- Rozenberg G., Bäck T., Kok J.N.: Handbook of Natural Computing, Springer 2012, 2052 p., ISBN 978-3540929093
Syllabus of lectures
- Introduction, inspiration in biology, entropy and self-organization
- Limits of abstract and physical computing
- Evolutionary design
- Cartesian genetic programming
- Reconfigurable computing devices
- Evolutionary design of digital circuits
- Evolutionary circuit design, extreme environments
- Evolvable hardware, applications
- Computational development
- Neural hardware
- DNA computing
- Nanotechnology and molecular electronics
- Recent trends
Syllabus of computer exercises
- Evolutionary design of combinational circuits
- Statistical evaluation of experiments with evolutionary design
- Virtual reconfigurable circuits
- Celulární automaty
Syllabus - others, projects and individual work of students
Studenti vypracují projekt související s tematikou kurzu. Hodnotit se bude realizace, prezentace a dokumentace projektu.
Progress assessment
Mid-term exam, project and its presentation, computer lab assignments.
Exam prerequisites:
None
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-MGR-2, field MBI, 1st year of study, Compulsory
- Programme IT-MGR-2, field MBS, MGM, MIS, MSK, any year of study, Elective
- Programme IT-MGR-2, field MIN, any year of study, Compulsory-Elective group I
- Programme IT-MGR-2, field MMM, any year of study, Compulsory-Elective group N
- Programme IT-MGR-2, field MPV, any year of study, Compulsory-Elective group B