M-numbers

Course Description

M-numbers is a theory formalized by dr.sc. Miroslav Šare (1918-2005), professor from this Faculty (ETF, 1946-1982), which he has discovered in 1957. while studying electrical networks. The discovery has enabled representation of CRL networks with a sequence of strings, where each electrical element is presented as a pair of symbols from a three-valued alphabet. Prof. Šare has observed that connecting bipolar elements in serial and parallel connections contains algebraic operations and has observed their connection with network topology and logic. Following several decades of persistent and secretive work, prof. Šare has succeeded in generalization of his theory to an arbitrary number of elements (which do not necessarily need to have its physical interpretation) and has published his work in 2000. in book entitled Jorbologija (jorb is obtained by reading the word broj backwards; with remark that broj is a Croatian word for number). Fifteen years later, the lecturer of this course and his coworkers have managed to connect M-logic with semantics of natural language and have published significant results in the field. Since the behavior of CRL electrical circuits has its equivalents in other scientific fields (e.g., in mechanics, thermodynamics, fluid mechanics) and since CRL circuits are often used as a modelling framework for simulations in these diverse fields, one of the goals of this course is to extend application of M-theory to new fields. To achieve this goal, in the course we study three larger topics: a) application of M-theory in semantic of natural language, b) topology of electrical networks and isomorphism using M-numbers, c) algebraic M-structures in the theory of lattices.

Forms of Teaching

Lectures

classic lecture with slides

Exams

colloquium, seminar paper, homework https://fsb.scriptrunner.carnet.hr/

Exercises

demonstrations in computer classrooms

Seminars

seminar paper

E-learning

http://m-system.fsb.hr/mSistem

Grading Method

     
Continuous Assessment Exam
Type Threshold Percent of Grade Threshold Percent of Grade
Homeworks 0 % 25 % 0 % 25 %
Seminar/Project 0 % 25 % 0 % 25 %
Attendance 0 % 20 % 0 % 0 %
Mid Term Exam: Written 0 % 15 % 0 %
Final Exam: Written 0 % 15 %
Exam: Written 0 % 50 %

Week by Week Schedule

  1. M-system as connection between electrical networks and natural languages
  2. Foundation of m-systems and m-spaces (carriers of jorb structures)
  3. Basic permutations and quasi ordering of m-spaces
  4. Bases and morphisms of m-structure (kernels and hulls of 'jorbs')
  5. Relations of order and congruence, algebra of residual classes
  6. Homomorphism of lattices and m-structures
  7. Midterm exam - algebraic foundations
  8. Partition of m-space in five-member lattice
  9. Generalization of algebra of statements
  10. Tautologies and rules of conclusion making
  11. Multivalued M-logic and its application in semantic analysis of language
  12. M-continuum and M-topology
  13. M-graphs
  14. CRL networks
  15. Final exam – logic, topology and applications of M-systems

Study Programmes

University undergraduate
Computer Engineering (module)
Skills (5. semester)
Computer Science (module)
Skills (5. semester)
Control Engineering and Automation (module)
Skills (5. semester)
Electrical Power Engineering (module)
Skills (5. semester)
Electronic and Computer Engineering (module)
Skills (5. semester)
Electronics (module)
Skills (5. semester)
Information Processing (module)
Skills (5. semester)
Software Engineering and Information Systems (module)
Skills (5. semester)
Telecommunication and Informatics (module)
Skills (5. semester)
Wireless Technologies (module)
Skills (5. semester)
University graduate
Computer Engineering (profile)
Skills (1. semester)
Computer Science (profile)
Skills (1. semester)
Control Engineering and Automation (profile)
Skills (1. semester)
Electrical Engineering Systems and Technologies (profile)
Skills (1. semester)
Electrical Power Engineering (profile)
Skills (1. semester)
Electronic and Computer Engineering (profile)
Skills (1. semester)
Electronics (profile)
Skills (1. semester)
Information Processing (profile)
Skills (1. semester)
Software Engineering and Information Systems (profile)
Skills (1. semester)
Telecommunication and Informatics (profile)
Skills (1. semester)
Wireless Technologies (profile)
Skills (1. semester)

Literature

Miroslav Šare (2000.), M-brojevi, Element, d.o.o.
Douglas R. Hofstadter (2000.), Gödel, Escher, Bach, Penguin Group(CA)
Merrie Bergmann (2008.), An Introduction to Many-Valued and Fuzzy Logic, Cambridge University Press
Alastair Butler (2015.), Linguistic Expressions and Semantic Processing, Springer

Associate Lecturers

General

ID 214704
  Winter semester
4 ECTS
L1 English Level
L2 e-Learning
30 Lectures
10 Exercises
0 Laboratory exercises
0 Project laboratory

Grading System

90 Excellent
75 Very Good
60 Good
50 Acceptable