Course details
Evolutionary and Unconventional Hardware
EUD Acad. year 2017/2018 Summer semester
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.
Guarantor
Language of instruction
Completion
Time span
- 26 hrs lectures
Assessment points
- 100 pts final exam
Department
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 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.
Prerequisite knowledge and skills
There are no prerequisites
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
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
Syllabus of lectures
- Introduction: Traditional models of computation, their limits and super-Turing computing
- Computer hardware, implementation limits
- Natural computing: inspiration, computational platforms, classification
- Reconfigurable devices
- Cartesian genetic programming
- Evolutionary design of digital circuits
- Evolvable hardware
- Evolvable hardware, applications
- Evolution and development, cellular automata, L-systems
- Embryonic electronics, cellular computational platforms, Cell Matrix, POEtic
- Nanotechnology and molecular electronics
- DNA computing
- Recent trends
Progress assessment
Study evaluation is based on marks obtained for specified items. Minimimum number of marks to pass is 50.
Controlled instruction
Elaboration and presentation of a project.
Course inclusion in study plans