Evolution of Complex Systems Lecture 2: Definition of Systems Peter Andras / Bruce Charlton

Slides:



Advertisements
Similar presentations
“Sociology is the objective study of human behaviour in so far as it is affected by the fact people live in groups”: Sugarman (“Sociology”, 1968) “Sociology.
Advertisements

BY MS. ETHRIDGE, MS. MILSTEAD, MS. MYERS, MS. PALERMO Levels of Cellular Organization.
Evolution of Complex Systems Lecture 4: Cells and genome Peter Andras / Bruce Charlton
Nervous System Lecture (Day 2: How Nerve Impulses are Conducted)
Mobile Communication, the Internet and the Net of Social Relations Friedrich Krotz University of Erfurt, Germany.
Evolution of Complex Systems Lecture 13: Politics and economics – interactions Peter Andras / Bruce Charlton
Evolution of Complex Systems Lecture 3: Theoretical foundations Peter Andras / Bruce Charlton
First Generation (1G) Alison Griffiths C203 Ext:3292
Dealing with Complexity Peter Andras Department of Psychology University of Newcastle
Evolution of Complex Systems Lecture 10: Technological systems Peter Andras / Bruce Charlton
Evolution of Complex Systems Lecture 7: Society and its reproduction Peter Andras / Bruce Charlton
Evolution of Complex Systems Lecture 5: Organism and nervous system Peter Andras / Bruce Charlton
Evolution of Complex Systems Lecture 6: Brain and mind Peter Andras / Bruce Charlton
Evolution of Complex Systems Lecture 8: Politics and law Peter Andras / Bruce Charlton
Evolution of Complex Systems Lecture 1: Introduction Peter Andras / Bruce Charlton
Management from the perspective of systems theory Peter Andras and Bruce G Charlton University of Newcastle
Evolution of Complex Systems Lecture 9: Economics and money Peter Andras / Bruce Charlton
Evolution of Complex Systems Lecture 11: Advanced concepts Peter Andras / Bruce Charlton
4. The Postulates of Quantum Mechanics 4A. Revisiting Representations
Evolution of Complex Systems Lecture 12: The Evolution of Science Peter Andras / Bruce Charlton
1 Social Perceptions Inter-Act, 13 th Edition Chapter 2.
By Mr. Abdalla A. Shaame.  ICT is an acronym that stands for Information Communications Technology  However, apart from explaining an acronym, there.
Large-scale organization of metabolic networks Jeong et al. CS 466 Saurabh Sinha.
LANGUAGE, CULTURE, & SOCIETY
Limitations of the relational model. Just as the relational model supplanted the network and hierarchical model so too will the object – orientated model.
COMMUNICATION GADGETS
Communication channels and transmission media
G. RANDOM CHANGE IN A POPULATION. Evolution happens with populations, not individuals We say that a population has evolved when it is different from the.
Technician License Course Chapter 2 Radio and Electronics Fundamentals Equipment Definitions Hour-1.
Neural mechanisms of Spatial Learning. Spatial Learning Materials covered in previous lectures Historical development –Tolman and cognitive maps the classic.
Biology 41.1 nervous System
What is Biology? Chapter 1. –Where did plants and animals come from? – How did I come to be? –Humans have tried to answer these questions in different.
Chapter 1.  Length: Measured in Meters, Centimeters, and Millimeters  Mass: Measured in Grams and Kilograms  Volume: Measured in Liters and Milliliters.
Objectives 30.1 Levels of Organization
Sensory Receptors Miss Tagore A2 Biology. Learning Outcomes Outline the roles of sensory receptors in mammals in converting different forms of energy.
Multiple Access Techniques for Wireless Communications (MAT)
1 PerceptionsPerceptions 2: Inter-Act, 13 th Edition.
Retinal and Cortical Implants. Stat 19 SEM Talk 4. The brain is a network of nerve cell, neurons. The neurons communicate by electrical and.
Lecture 6 Page 1 Advanced Network Security Review of Networking Basics Advanced Network Security Peter Reiher August, 2014.
Introduction to Networked Robotics CS 643 Seminar on Advanced Robotics Wenzhe Li, Graduate Student Texas A&M University.
Interkulturelles Zentrum INTERCULTURAL DIALOG as a political process FRANJO STEINER.
University of Windsor School of Computer Science Topics in Artificial Intelligence Fall 2008 Sept 11, 2008.
How Living Things Are Alike Ch.1 Lessons 1-3. L. 1 What is the Basic Unit of Life Objectives: – I can describe a cell and explain some of its functions.
© NOKIAmind.body.PPT / / PHa page: 1 Conscious Machines and the Mind-Body Problem Dr. Pentti O A Haikonen, Principal Scientist, Cognitive Technology.
Some Social Theory Identity, Community and the Net.
Neural Networks and Machine Learning Applications CSC 563 Prof. Mohamed Batouche Computer Science Department CCIS – King Saud University Riyadh, Saudi.
Chapter 29: Molecular bonding Aileen, Jamie, Madeleine, and Ross.
Cognitive Radio: Next Generation Communication System
© 2012 Pearson Education, Inc. Lectures by Kathleen Fitzpatrick Simon Fraser University Membranes: Their Structure, Function, and Chemistry Chapter 7.
Instructional Objective  Define an agent  Define an Intelligent agent  Define a Rational agent  Discuss different types of environment  Explain classes.
Intro to Mass Comm Lecture 1 & 2: Introduction Benjamin Loh.
NERVOUS SYSTEM AND ACTIVE TRANSPORT Big Ideas: #2 (Homeostasis) & #4 (Interactions)
CS851 – Biological Computing February 6, 2003 Nathanael Paul Randomness in Cellular Automata.
The Cell Cycle & Mitosis Chapter – The Cell Cycle Key Concept: Cells have distinct phases of growth, reproduction, and normal functions.
Topic: Cells Aim: What are the types of organisms & how are they organized? Do Now: Explain two differences between animal and plant cells. HW: pg
3.3 Cell Membrane KEY CONCEPT The cell membrane is a barrier that separates a cell from the external environment.
Dr.Abeer Mahmoud ARTIFICIAL INTELLIGENCE (CS 461D) Dr. Abeer Mahmoud Computer science Department Princess Nora University Faculty of Computer & Information.
Probabilistic Robotics Introduction.  Robotics is the science of perceiving and manipulating the physical world through computer-controlled devices.
Biology 201 Dr. Edwin DeMont St. Francis Xavier University Communication I: Nervous and Sensory Systems.
Life Science. Explain that cells are the basic unit of structures and function of living organisms. Cells are the basic unit of structures of living organisms.
Learning Objectives: Sensory Systems Describe and explain the sequence of events in a receptor. Describe and explain the function of various receptor types,
Probabilistic Robotics Introduction. SA-1 2 Introduction  Robotics is the science of perceiving and manipulating the physical world through computer-controlled.
Chapter two page 23. Cell theory- states that all living things consist of one or more organised structures that are called cells.  Cells are the basic.
SPK – 4 Golomazov Artem in my life. Hello! My name is Artem and I’d like to tell you about Information Technology by using Information Technology! It.
Effective Communication Techniques. Interest Approach Give each student a copy of a relevant news article. Explain the importance of skimming and scanning.
N ERVOUS S YSTEM Neuron Physiology. N EURONS So, we know how neurons are structured (built) but how do they actually work? ACTION POTENTIALS.
Powerpoint Templates Data Communication Muhammad Waseem Iqbal Lecture # 07 Spring-2016.
Dealing with Complexity
Presentation transcript:

Evolution of Complex Systems Lecture 2: Definition of Systems Peter Andras / Bruce Charlton

2 Literature Charlton, BG and Andras, P (2003). The Modernization Imperative ( modernization-imperative.html) Charlton, BG and Andras, P (2003). The Modernization Imperative ( modernization-imperative.html) modernization-imperative.htmlhttp:// modernization-imperative.html Luhmann, N (1995). Social Systems Luhmann, N (1995). Social Systems Miller, JG (1978). Living Systems Miller, JG (1978). Living Systems

3 Objectives Examples of systems Examples of systems Fundamental concepts: Fundamental concepts: Communication Communication Environment Environment Action and perception Action and perception Reference Reference Main function of systems Main function of systems

4 The cell Complex system of many cellular organelles Complex system of many cellular organelles System of interacting proteins System of interacting proteins

5 Medusa Filter feeder organism with tissues and organs Filter feeder organism with tissues and organs (

6 Mouse Complex organism with many tissues and organs Complex organism with many tissues and organs (

7 The nervous system Complex network of specialized cells (neurons) dealing with the information processing of an organism Complex network of specialized cells (neurons) dealing with the information processing of an organism

8 The conscious self A system communicating about the identity of the self A system communicating about the identity of the self

9 Ant colony Many communicating individual organisms form a complex system together Many communicating individual organisms form a complex system together (research.amnh.org/entomology)

10 Political system The system of human communications about how to distribute and use power within the society The system of human communications about how to distribute and use power within the society (depthome.sunysuffolk.edu)(

11 The Windows OS Large system of many software processes (programs) that communicate with each other Large system of many software processes (programs) that communicate with each other

12 Communication – the concept Sender Signal Receiver

13 Sender and receiver Sender and receiver: communication units that can send and receive signals Sender and receiver: communication units that can send and receive signals Their key feature is that they can communicate with each other Their key feature is that they can communicate with each other We ignore their inner structure We ignore their inner structure E.g., two mobile phones E.g., two mobile phones

14 Signal Signal = a behaviour or a state of the sender communication unit Signal = a behaviour or a state of the sender communication unit E.g., a set of modulated electromagnetic waves generated by a mobile phone E.g., a set of modulated electromagnetic waves generated by a mobile phone

15 Signal transmission Signal transmission: Signal transmission: Signal generation by the sender Signal generation by the sender Signal reception by the receiver Signal reception by the receiver It may involve signal deterioration due to the transmission media It may involve signal deterioration due to the transmission media E.g., communication through mobile phones E.g., communication through mobile phones

16 Communication Sender unit: Signals generated Receiver unit: Signals received Communication: Signals transmitted

17 Communication – issues not yet discussed Meaning of communication Meaning of communication Structure of communication: e.g., sequence or pattern of signals Structure of communication: e.g., sequence or pattern of signals

18 Communication systems – 1 We consider systems as communication systems: set of communication units that exchange communications, the system being the set of these communications We consider systems as communication systems: set of communication units that exchange communications, the system being the set of these communications All systems discussed can be seen as communication systems All systems discussed can be seen as communication systems E.g., nervous system, ant colony, Windows OS E.g., nervous system, ant colony, Windows OS

19 Communication systems – 2 Communication system Communication units

20 The cell’s environment (cti.itc.virginia.edu)

21 Outside of a system Communications between communication units, which are not part of the system Communications between communication units, which are not part of the system E.g., mobile phones and satellite TV signals E.g., mobile phones and satellite TV signals

22 Environment Environment = not the system Environment = not the system We define environment as every communication that is outside of the system We define environment as every communication that is outside of the system E.g., cell and metabolites in the inter- cellular fluid E.g., cell and metabolites in the inter- cellular fluid

23 Where is the boundary ?

24 System and environment Communication density boundary Communication density boundary Dense communication within the system rare communications with outside of the system Dense communication within the system rare communications with outside of the system Note: the boundary may change Note: the boundary may change

25 System – environment interactions 1 System: communications between communication units System: communications between communication units The communication units are independent of the system, and they may participate in other communications, which are not part of the system The communication units are independent of the system, and they may participate in other communications, which are not part of the system The behaviour of communication units may be influenced by their participation in outside the system communications The behaviour of communication units may be influenced by their participation in outside the system communications E.g., cordless phone and interference with electronic equipments E.g., cordless phone and interference with electronic equipments

26 System – environment interactions 2 The effects on the behaviour of communication units caused by communications not part of the system inducing modified communications within the system are the effects of the environment on the system The effects on the behaviour of communication units caused by communications not part of the system inducing modified communications within the system are the effects of the environment on the system E.g., antibiotics block the proper communications (generation of proteins) within the cell and cause the destruction of the cell’s system E.g., antibiotics block the proper communications (generation of proteins) within the cell and cause the destruction of the cell’s system

27 System actions Communications within the system happen by behaviour of communication units Communications within the system happen by behaviour of communication units Such behaviour modify the participation of these communication units in communications that are part of other systems which make part of the environment of the selected system Such behaviour modify the participation of these communication units in communications that are part of other systems which make part of the environment of the selected system In this way the system acts on the environment In this way the system acts on the environment E.g., the cat’s movements may warn the mouse E.g., the cat’s movements may warn the mouse

28 System perceptions The environment modifies the behaviour of communication units that generate the communications which make the system The environment modifies the behaviour of communication units that generate the communications which make the system The communications within the system change in effect, the system perceiving in this way the environment The communications within the system change in effect, the system perceiving in this way the environment E.g., a mouse appears in the sight of a cat E.g., a mouse appears in the sight of a cat

29 Possibility - concept In a sequence of communications one communication may be followed by many others, all these are possible communications In a sequence of communications one communication may be followed by many others, all these are possible communications The possible communications form the possibility space of continuation for a communication The possible communications form the possibility space of continuation for a communication E.g., cat sees a mouse, may approach it in many ways E.g., cat sees a mouse, may approach it in many ways E.g., talking to a friend a sentence may be followed by many others E.g., talking to a friend a sentence may be followed by many others

30 Sequence of communications Every communication determines the range of possible following communications Every communication determines the range of possible following communications E.g., in normal human speech there are rules which determine which sentence may follow a previous sentence E.g., in normal human speech there are rules which determine which sentence may follow a previous sentence

31 Reference - concept In a communication system each communication references other communications that are /were part of the system In a communication system each communication references other communications that are /were part of the system The communications which are referenced are those, which determine the possibility space from which the current communication is chosen The communications which are referenced are those, which determine the possibility space from which the current communication is chosen E.g., talking about a friend to a friend or to a foreign person E.g., talking about a friend to a friend or to a foreign person

32 Communication systems: probabilistic interpretation – 1 Within a system new communications emerge Within a system new communications emerge The probability distribution of these new communications over the space of possible communications (the current possibility space) describes the system The probability distribution of these new communications over the space of possible communications (the current possibility space) describes the system

33 Communication systems: probabilistic interpretation – 2 Example: Example: ‘The human eye is extremely sensitive.’ ‘The human eye is extremely sensitive.’ A. ‘Researchers, hoping one day to build robots that can see as well as humans, are now trying to copy what is known about the retina onto silicon chips.’ A. ‘Researchers, hoping one day to build robots that can see as well as humans, are now trying to copy what is known about the retina onto silicon chips.’ B. ‘Let’s consider the camera for a moment.’ B. ‘Let’s consider the camera for a moment.’ C. ‘They are usually the ones who govern nations.’ C. ‘They are usually the ones who govern nations.’ How likely are these continuations ?

34 Communication systems: probabilistic interpretation – Current Possible

35 System perceptions – revisited 1 The environment induces changes in the communication units that affect the communications produced by these The environment induces changes in the communication units that affect the communications produced by these Such effects can be seen as a change in the probability distribution of new communications that may emerge, over the space of possible communications Such effects can be seen as a change in the probability distribution of new communications that may emerge, over the space of possible communications The actual new communications provide a sample of the actual probability distribution The actual new communications provide a sample of the actual probability distribution The difference between the expected and the actual distribution represents the perception of the system The difference between the expected and the actual distribution represents the perception of the system

36 System perceptions – revisited Current Possible Environment

37 Why do systems exist ? Communication systems are created by the emergence of dense inter-referencing communications between communication units surrounded by a rare set of communications Communication systems are created by the emergence of dense inter-referencing communications between communication units surrounded by a rare set of communications Such systems exist by the generation of new communications referencing other earlier communications that are part of the system Such systems exist by the generation of new communications referencing other earlier communications that are part of the system Only systems that reproduce and expand can be observed Only systems that reproduce and expand can be observed Systems exist to maintain and reproduce themselves, this is their main function Systems exist to maintain and reproduce themselves, this is their main function

38 Do systems have a function ? From the point of view of an external observer it may appear that the systems has some particular function within a larger system From the point of view of an external observer it may appear that the systems has some particular function within a larger system From inside the single main function of the system is its own reproduction From inside the single main function of the system is its own reproduction E.g., communications between bureaucrats E.g., communications between bureaucrats

39 System expansion Systems main function: self reproduction Systems main function: self reproduction Systems that reproduce and expand by attracting more communication units to generate communications that are part of them may dominate other systems Systems that reproduce and expand by attracting more communication units to generate communications that are part of them may dominate other systems E.g., animals, human organisations E.g., animals, human organisations

40 Systems working Communications systems generate communications that refer to other communications part of the system Communications systems generate communications that refer to other communications part of the system The systems aim to reproduce and expand by generating new communications The systems aim to reproduce and expand by generating new communications The systems generate communications that induce actions upon the environment by modifying the behaviour of communication units that produce the system’s communications The systems generate communications that induce actions upon the environment by modifying the behaviour of communication units that produce the system’s communications The environment acts upon the communication units, which actions can be perceived by the systems The environment acts upon the communication units, which actions can be perceived by the systems

41 Summary – 1 Communication Communication Environment Environment System boundaries System boundaries

42 Summary – 2 Action Action Perception Perception Possibility Possibility Reference Reference Main function of systems Main function of systems

43 Q&A – 1 1. Is it true that the economy of North Tyne Side forms a separate system ? Why ? 2. Is it true that sodium (Na+) ions are part of a cell even outside of the cell membrane ? 3. Is it true that this lecture is part of the environment for the UK political system ? 4. Is it true that a seminar on human rights with participation of politicians is an action of the legal system on the political system ?

44 Q&A – 2 5. Is it true that measuring the university choice of high school graduates is a perception of the university system about its social environment ? 6. Is it true that when we talk with our GP we should refer to recent political events in order to be understood ? 7. Is it true that we can tell a story about an old friend to a new friend without referring explicitly to anything that is already known by our new friend ? 8. Is it true that the main function of a politician is to represent his/her constituency ?