Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
complexity What is it? What do we do with it? How do we study it? Who cares? Reflections by Lemont B. Kier A General Definition • • • • Complexity is a property of some systems It is a special kind of system organization It is a special kind of function of a system It is associated with all living systems Systems • • • • Things that we are interested in They are defined by boundaries They are made up of stuff called “agents” They can be ranked: – Simple – Complicated – Complex Simple Systems • • • • • Can understand them by studying the agents Little or no movement or change Describes most inanimate things The properties are a sum of the agents Very little diversity Examples of Simple Systems Collections of things ● Stored stuff ● Counts of items ● Water vapor ● Usually man-made ● Each member of the system is fungible ● Complicated Systems Can learn something by studying the agents ● Some of the functions are not easily related to the parts ● We may lack the tools or knowledge to learn more about them ● Found among most inanimate systems ● Examples of Complicated Systems Devices: a watch, an engine ● Water ice, crystals ● Some numerical aspects of complex systems: counts, reoccurring events ● Complex Systems • Cannot understand very much by studying the agents alone ● Many different agents ● Always in motion, always changing ● Many different functions ● Have a history ● All living things Examples of Complex Systems All living things ● Liquid water ● Society ● The economy ● Why Study Complexity • The only way to approach any understanding of living systems • The old way: reductionism • The new way: synergy • Synergy is the non-linear synthesis of information to create understanding ● The new approach is systems biology Characteristics of Complex Systems • • • • Agents are dynamic, interactive The diversity of agent types is enormous They self-organize They exist within a hierarchy The Agents • • • • • • • The agents are dynamic and interactive They change Each has a history They interact locally with neighbors There is no master control of events There are many types of agents There is perpetual novelty Self-Organize Two fundamental phenomena of complex systems: Everything is dynamic Things aggregate ● There is no master control of organization, it is all local ● Examples of Self-Organization A crystal A folded protein A fetus A herd A city Society Diversity Everywhere • Many types and numbers of agents • An enormous number of possible combinations of interactions ● Can respond to very many crises ● Can adapt to many changes in their environment Examples of Diversity Cell proteins ● The immune system ● The food supply ● Shops in a city ● A tool kit ● The alphabet ● Exist in a Hierarchy • Each agent is, itself, a complex system • Each complex system is an agent • Each system exerts some control over the agents within it ● Each agent is a part of a system of the next higher order ● Studies cannot exceed immediate relationship, called the logical depth Examples of Hierarchy → atom ↓↑ molecule ↓↑ cell ↓↑ tissue ↓↑ organ ↓↑ human ↓↑ society → Functions of Complex Systems • Agents interact extensively • Constant change in agent structure, position, properties ● Changes in role of agents (adaptation) ● Diversity permits a greater degree of different interactions Emergence • An encounter and an interaction leads to changes in the agents → new properties • New properties are not predictable from the old properties ● The whole is more than the sum of the parts ● This process is the signature of complex systems Examples of Emergence Properties of water from H2 and O2 ● A cell function from the action of the protein networks ● Motion of animals from muscle function ● Meaning from a collection of letters ● Dissolvence • A companion event to emergence • A change in the agents as they participate in emergence ● A decrease in options, movement, and some independence of agents ● Agents are under more control of higher level complex systems Examples of Dissolvence Change of H2 and O2 properties when they combine to form water ● Loss of free movement when cells join to form tissue ● Behavioral changes when people join others in a group ● Adaptation Complex systems adapt to events: environmental crises, shortages, crowding ● Made possible by diversity of agents and possibilities ● Examples of Adaptation Organisms switching to different nutrients in response to shortages ● Animal response to climate changes ● Development of antibiotic resistant bacteria ● Anticipation ● ● ● ● Internal models prepare the system for changes There are built-in alternatives Information is fed forward A survival imperative Examples of Anticipation ● ● ● ● ● ● Movement away from a chemical concentration Movement of flowers to face sunlight Adrenalin release to prepare for combat Uterine wall preparation for egg implant Hormonal control of vascular muscle Acid release in response to food odors Ways to study complex systems Understand their composition and functions ● Reduction and synergy ● Create models and simulations ● Systems biology approach ● Systems Biology A blend of: Experiment Theory Modeling Pleasure Appearance Acceptance Learning Economics PERSONNA Stimulation Comfort Possesions Memories Health • • • • • • • • • • • physical & mental ↑ health → contentment self-care ↓ ↑ physical ability self-esteem ↓ ↑ security ← productivity EDUCATION © ENVIRONIC FOUNDATION INTERNATIONAL ALL RIGHTS RESERVED. © ENVIRONIC FOUNDATION INTERNATIONAL All rights reserved.