The Combinatory Systems Theory : Understanding, Modeling and Simulating Collective Phenomena
This study adopts the logic of Systems Thinking and Control Systems, presenting a simple but complete theory called the Theory of Combinatory Systems. This new theory is able to describe, interpret, explain, simulate and control collective phenomena and their observable effects. Despite specific dif...
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| Main Author | |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
Cham, Switzerland :
Springer Science and Business Media : Springer,
2017.
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| Series | Contemporary systems thinking.
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| Subjects | |
| Online Access | Full text |
| ISBN | 9783319548050 9783319548036 |
| Physical Description | 1 online resource |
Cover
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| 100 | 1 | |a Mella, Piero, |e author. | |
| 245 | 1 | 4 | |a The Combinatory Systems Theory : |b Understanding, Modeling and Simulating Collective Phenomena / |c Piero Mella. |
| 264 | 1 | |a Cham, Switzerland : |b Springer Science and Business Media : |b Springer, |c 2017. | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a počítač |b c |2 rdamedia | ||
| 338 | |a online zdroj |b cr |2 rdacarrier | ||
| 490 | 1 | |a Contemporary systems thinking | |
| 505 | 0 | |a Preface; Contents; Chapter 1: The Theory of Combinatory Systems; 1.1 Defining Combinatory Systems; 1.1.1 Strange but Simple Phenomena; 1.1.2 Macro (Collective) and Micro (Individual) Behavior: Collectivities; 1.1.3 The Micro-Macro Feedback; 1.1.4 The Central Idea of Combinatory System Theory (CST); 1.1.5 The Invisible Hand Producing Self-Organization and Path Dependence; 1.1.6 Behavior Due to "Chance" and "Necessity"; 1.1.7 Necessitating and Recombining Factors; 1.2 The Study of Collectivities: A Literature Review; 1.2.1 The Macro Approaches: A Short Survey. | |
| 505 | 8 | |a 1.2.2 The Micro Approaches: A Short Survey1.2.3 The Third Approach: The Micro-Macro Feedback Approach; 1.3 Peculiarities of Combinatory Systems; 1.3.1 Base and Environment; 1.3.2 Micro and Macro Behaviors and Effects; 1.3.3 The Micro-Macro Feedback Action; 1.3.4 State and Output, Macro Behavior and Macro Effect; 1.3.5 Incomplete and Limited Information; 1.3.6 Minimum and Maximum Density; 1.3.7 Energy Inputs; 1.3.8 Control of Combinatory Systems: Strengthening and Weakening Actions and Effects; 1.3.9 Exogenous and Endogenous Control. | |
| 505 | 8 | |a 1.4 Self-Organization and the Evolution of Combinatory Systems1.4.1 Natural and Artificial Combinatory Systems. Spontaneous Genesis and Design; 1.4.2 Expansion, Organization and Ramification of Natural Combinatory Systems; 1.4.3 Robustness and Persistence in Combinatory Systems; 1.5 Typology of Combinatory Systems; 1.5.1 Five Relevant Classes of Combinatory Systems; 1.5.2 Models for Representing Combinatory Systems; 1.5.3 Social Combinatory Systems: The Modus Operandi; 1.5.4 The External Control of Social Combinatory Systems; Appendix 1: The Language of Systems Thinking (the Basics). | |
| 505 | 8 | |a Appendix 2: Control Systems (the Basics)Chapter 2: The Observable Variety: Heuristic Models of Combinatory Systems; 2.1 A Bit of Order: Heuristic Models of Five Classes of Combinatory Systems; 2.2 Systems of Accumulation; 2.2.1 "Pile-of-Garbage" System; 2.2.2 "Planet-Formation" System; 2.2.3 "Graffiti-on-Wall" System; 2.2.4 "Urban-Settlement" System; 2.2.5 Industrial Districts and Colonies; 2.3 Systems of Diffusion; 2.3.1 "A-Fashion-Is-Born" and "Epidemics" Systems; 2.3.2 "The-Hundred-Towers" System; 2.3.3 "Tower-of-Babel" System; 2.3.4 "Spread-of-Drugs" System. | |
| 505 | 8 | |a 2.3.5 "Break-out-of-Applause" System2.4 Systems of Pursuit; 2.4.1 "Voice-Murmur" System; 2.4.2 "Beat-the-Record" System; 2.4.3 "Speed-Limit" System; 2.4.4 "Eternal-Feud" System (and Variants); 2.4.5 "Assail-the-Professor" System; 2.5 Systems of Order; 2.5.1 "Waltz-Spin" System; 2.5.2 "Herd-in-Flight" System; 2.5.3 "Stadium-Wave" System; 2.5.4 "Trace-a-Path" System; 2.5.5 "File-of-Ants" and "Stigmergy" Effect; 2.5.6 "Highway-Ruts" System; 2.5.7 "Macedonian-Phalanx" System; 2.5.8 "School-of-Fish" Systems; 2.6 Systems of Improvement and Progress; 2.6.1 "Increasing-Productivity" System. | |
| 506 | |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty | ||
| 520 | |a This study adopts the logic of Systems Thinking and Control Systems, presenting a simple but complete theory called the Theory of Combinatory Systems. This new theory is able to describe, interpret, explain, simulate and control collective phenomena and their observable effects. Despite specific differences among these phenomena - many of which are "one way", non-repeatable or reproducible - they can all be described or explained, and thus understood, using the model, as simple as it is general, of combinatory systems; that is, systems formed by collectivities, or populations of non-connected and unorganized individuals of some species, which appear to be directed by an invisible hand that guides the analogous actions of similar individuals in order to produce an emerging collective phenomenon. Combinatory Systems function due to the presence of micro control systems which, operating at the individual level, lead to uniform micro behavior by individuals in order to eliminate the (gap) with respect to the objective that is represented - or revealed - by the global information (macro behavior or effect). The book also examines Combinatory Automata, which represent a powerful tool for simulating the most relevant combinatory systems. In stochastic combinatory automata, when both probabilities and periods of transition of state are agent/time/state sensitive, the probabilistic micro behaviors are conditioned by the macro behavior of the entire system, which makes the micro-macro feedback more evident. The Combinatory Systems Theory: Understanding, Modeling and Simulating Collective Phenomena is composed of four main chapters. Chapter 1 presents the basic ideas behind the theory, which are analysed in some detail. Chapter 2 describes the heuristic models of several relevant combinatory systems observable in different environments. Chapter 3, while not making particular use of sophisticated mathematical and statistical tools, presents the Theory of Combinatory Automata and builds models for simulating the operative logic of combinatory systems. Chapter 4 tries to answer three questions: are combinatory systems "systems" in the true sense of the term? Why is this theory able to explain so many and so varied a number of phenomena, even though it is based on a very simple modus operandi? Are combinatory systems different than complex systems? The book has been written with no prerequisite required to read and understand it, in particular math, statistics and computer knowledge. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 590 | |a SpringerLink |b Springer Complete eBooks | ||
| 650 | 0 | |a System theory. | |
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| 655 | 9 | |a electronic books |2 eczenas | |
| 776 | 0 | 8 | |i Print version: |a Mella, Piero. |t Combinatory Systems Theory. |d Cham, Switzerland : Springer Science and Business Media : Springer, 2017 |z 3319548034 |z 9783319548036 |w (OCoLC)971335932 |
| 830 | 0 | |a Contemporary systems thinking. | |
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