Hierarchy

For other uses, see Hierarchy (disambiguation).

"Subordinate" redirects here. For other uses, see Subordination.

A hierarchy (from Greek: ἱεραρχία, hierarkhia, 'rule of a high priest', from hierarkhes, 'president of sacred rites') is an arrangement of items (objects, names, values, categories, etc.) that are represented as being "above", "below", or "at the same level as" one another. Hierarchy is an important concept in a wide variety of fields, such as architecture, philosophy, design, mathematics, computer science, organizational theory, systems theory, systematic biology, and the social sciences (especially political science).

A hierarchy can link entities either directly or indirectly, and either vertically or diagonally. The only direct links in a hierarchy, insofar as they are hierarchical, are to one's immediate superior or to one of one's subordinates, although a system that is largely hierarchical can also incorporate alternative hierarchies. Hierarchical links can extend "vertically" upwards or downwards via multiple links in the same direction, following a path. All parts of the hierarchy that are not linked vertically to one another nevertheless can be "horizontally" linked through a path by traveling up the hierarchy to find a common direct or indirect superior, and then down again. This is akin to two co-workers or colleagues; each reports to a common superior, but they have the same relative amount of authority. Organizational forms exist that are both alternative and complementary to hierarchy. Heterarchy is one such form.

Nomenclature

See also: Glossary of graph theory, Taxonomy (general), and Structure

Hierarchies have their own special vocabulary. These terms are easiest to understand when a hierarchy is diagrammed (see below).

In an organizational context, the following terms are often used related to hierarchies:^[1][2]

• Object: one entity (e.g., a person, department or concept or element of arrangement or member of a set)
• System: the entire set of objects that are being arranged hierarchically (e.g., an administration)
• Dimension: another word for "system" from on-line analytical processing (e.g. cubes)
• Member: an (element or object) at any (level or rank) in a (class-system, taxonomy or dimension)
• Terms about Positioning
  • Rank: the relative value, worth, complexity, power, importance, authority, level etc. of an object
  • Level or Tier: a set of objects with the same rank OR importance
  • Ordering: the arrangement of the (ranks or levels)
  • Hierarchy: the arrangement of a particular set of members into (ranks or levels). Multiple hierarchies are possible per (dimension taxonomy or Classification-system), in which selected levels of the dimension are omitted to flatten the structure
• Terms about Placement
  • Hierarch, the apex of the hierarchy, consisting of one single orphan (object or member) in the top level of a dimension. The root of an inverted-tree structure
  • Member, a (member or node) in any level of a hierarchy in a dimension to which (superior and subordinate) members are attached
  • Orphan, a member in any level of a dimension without a parent member. Often the apex of a disconnected branch. Orphans can be grafted back into the hierarchy by creating a relationship (interaction) with a parent in the immediately superior level
  • Leaf, a member in any level of a dimension without subordinates in the hierarchy
  • Neighbour: a member adjacent to another member in the same (level or rank). Always a peer.
  • Superior: a higher level or an object ranked at a higher level (A parent or an ancestor)
  • Subordinate: a lower level or an object ranked at a lower level (A child or a descendant)
  • Collection: all of the objects at one level (i.e. Peers)
  • Peer: an object with the same rank (and therefore at the same level)
  • Interaction: the relationship between an object and its direct superior or subordinate (i.e. a superior/inferior pair)
    • a direct interaction occurs when one object is on a level exactly one higher or one lower than the other (i.e., on a tree, the two objects have a line between them)
  • Distance: the minimum number of connections between two objects, i.e., one less than the number of objects that need to be "crossed" to trace a path from one object to another
  • Span: a qualitative description of the width of a level when diagrammed, i.e., the number of subordinates an object has
• Terms about Nature
  • Attribute: a heritable characteristic of (members and their subordinates) in a level (e.g. hair-colour)
  • Attribute-value: the specific value of a heritable characteristic (e.g. Auburn)

In a mathematical context (in graph theory), the general terminology used is different.

Most hierarchies use a more specific vocabulary pertaining to their subject, but the idea behind them is the same. For example, with data structures, objects are known as nodes, superiors are called parents and subordinates are called children. In a business setting, a superior is a supervisor/boss and a peer is a colleague.

Degree of branching

Degree of branching refers to the number of direct subordinates or children an object has (in graph theory, equivalent to the number of other vertices connected to via outgoing arcs, in a directed graph) a node has. Hierarchies can be categorized based on the "maximum degree", the highest degree present in the system as a whole. Categorization in this way yields two broad classes: linear and branching.

In a linear hierarchy, the maximum degree is 1.^[1] In other words, all of the objects can be visualized in a line-up, and each object (excluding the top and bottom ones) has exactly one direct subordinate and one direct superior. This is referring to the objects and not the levels; every hierarchy has this property with respect to levels, but normally each level can have an infinite number of objects.

In a branching hierarchy, one or more objects has a degree of 2 or more (and therefore the minimum degree is 2 or higher).^[1] For many people, the word "hierarchy" automatically evokes an image of a branching hierarchy.^[1] Branching hierarchies are present within numerous systems, including organizations and classification schemes. The broad category of branching hierarchies can be further subdivided based on the degree.

A flat hierarchy (also known for companies as flat organization) is a branching hierarchy in which the maximum degree approaches infinity, i.e., that has a wide span.^[2] Most often, systems intuitively regarded as hierarchical have at most a moderate span. Therefore, a flat hierarchy is often not viewed as a hierarchy at all. For example, diamonds and graphite are flat hierarchies of numerous carbon atoms that can be further decomposed into subatomic particles.

An overlapping hierarchy is a branching hierarchy in which at least one object has two parent objects.^[1] For example, a graduate student can have two co-supervisors to whom the student reports directly and equally, and who have the same level of authority within the university hierarchy (i.e., they have the same position or tenure status).

Etymology

Possibly the first use of the English word hierarchy cited by the Oxford English Dictionary was in 1881, when it was used in reference to the three orders of three angels as depicted by Pseudo-Dionysius the Areopagite (5th–6th centuries). Pseudo-Dionysius used the related Greek word (ἱεραρχία, hierarchia) both in reference to the celestial hierarchy and the ecclesiastical hierarchy.^[3] The Greek term hierarchia means 'rule of a high priest',^[4] from hierarches (ἱεράρχης, 'president of sacred rites, high-priest')^[5] and that from hiereus (ἱερεύς, 'priest')^[6] and arche (ἀρχή, 'first place or power, rule').^[7] Dionysius is credited with first use of it as an abstract noun.

Since hierarchical churches, such as the Roman Catholic (see Catholic Church hierarchy) and Eastern Orthodox churches, had tables of organization that were "hierarchical" in the modern sense of the word (traditionally with God as the pinnacle or head of the hierarchy), the term came to refer to similar organizational methods in secular settings.

Representing hierarchies

 

Maslow's hierarchy of human needs. This is an example of a hierarchy visualized with a triangle diagram. The hierarchical aspect represented here is that needs at lower levels of the pyramid are considered more basic and must be fulfilled before higher ones are met.

A hierarchy is typically depicted as a pyramid, where the height of a level represents that level's status and width of a level represents the quantity of items at that level relative to the whole.^[8] For example, the few Directors of a company could be at the apex, and the base could be thousands of people who have no subordinates.

These pyramids are often diagrammed with a triangle diagram which serves to emphasize the size differences between the levels (but not all triangle/pyramid diagrams are hierarchical; for example, the 1992 USDA food guide pyramid). An example of a triangle diagram appears to the right.

Another common representation of a hierarchical scheme is as a tree diagram. Phylogenetic trees, charts showing the structure of § Organizations, and playoff brackets in sports are often illustrated this way.

More recently, as computers have allowed the storage and navigation of ever larger data sets, various methods have been developed to represent hierarchies in a manner that makes more efficient use of the available space on a computer's screen. Examples include fractal maps, TreeMaps and Radial Trees.

Visual hierarchy

In the design field, mainly graphic design, successful layouts and formatting of the content on documents are heavily dependent on the rules of visual hierarchy. Visual hierarchy is also important for proper organization of files on computers.

An example of visually representing hierarchy is through nested clusters. Nested clusters represent hierarchical relationships using layers of information. The child element is within the parent element, such as in a Venn diagram. This structure is most effective in representing simple hierarchical relationships. For example, when directing someone to open a file on a computer desktop, one may first direct them towards the main folder, then the subfolders within the main folder. They will keep opening files within the folders until the designated file is located.

For more complicated hierarchies, the stair structure represents hierarchical relationships through the use of visual stacking. Visually imagine the top of a downward staircase beginning at the left and descending on the right. Child elements are towards the bottom of the stairs and parent elements are at the top. This structure represents hierarchical relationships through the use of visual stacking.

Informal representation

In plain English, a hierarchy can be thought of as a set in which:^[1]

1. No element is superior to itself, and
2. One element, the (apex or hierarch), is superior to all of the other elements in the set.

The first requirement is also interpreted to mean that a hierarchy can have no circular relationships; the association between two objects is always transitive. The second requirement asserts that a hierarchy must have a leader or root that is common to all of the objects.

Mathematical representation

Main article: Hierarchy (mathematics)

Mathematically, in its most general form, a hierarchy is a partially ordered set or poset.^[9] The system in this case is the entire poset, which is constituted of elements. Within this system, each element shares a particular unambiguous property. Objects with the same property value are grouped together, and each of those resulting levels is referred to as a class.

"Hierarchy" is particularly used to refer to a poset in which the classes are organized in terms of increasing complexity. Operations such as addition, subtraction, multiplication and division are often performed in a certain sequence or order. Usually, addition and subtraction are performed after multiplication and division has already been applied to a problem. The use of parentheses is also a representation of hierarchy, for they show which operation is to be done prior to the following ones. For example: (2 + 5) × (7 - 4). In this problem, typically one would multiply 5 by 7 first, based on the rules of mathematical hierarchy. But when the parentheses are placed, one will know to do the operations within the parentheses first before continuing on with the problem. These rules are largely dominant in algebraic problems, ones that include several steps to solve. The use of hierarchy in mathematics is beneficial to quickly and efficiently solve a problem without having to go through the process of slowly dissecting the problem. Most of these rules are now known as the proper way into solving certain equations.

Subtypes

Nested hierarchy

 

Matryoshka dolls, also known as nesting dolls or Russian dolls. Each doll is encompassed inside another until the smallest one is reached. This is the concept of nesting. When the concept is applied to sets, the resulting ordering is a nested hierarchy.

A nested hierarchy or inclusion hierarchy is a hierarchical ordering of nested sets.^[10] The concept of nesting is exemplified in Russian matryoshka dolls. Each doll is encompassed by another doll, all the way to the outer doll. The outer doll holds all of the inner dolls, the next outer doll holds all the remaining inner dolls, and so on. Matryoshkas represent a nested hierarchy where each level contains only one object, i.e., there is only one of each size of doll; a generalized nested hierarchy allows for multiple objects within levels but with each object having only one parent at each level. The general concept is both demonstrated and mathematically formulated in the following example:

${\displaystyle {\text{square}}\subset {\text{quadrilateral}}\subset {\text{polygon}}\subset {\text{shape}}\,}$ 

A square can always also be referred to as a quadrilateral, polygon or shape. In this way, it is a hierarchy. However, consider the set of polygons using this classification. A square can only be a quadrilateral; it can never be a triangle, hexagon, etc.

Nested hierarchies are the organizational schemes behind taxonomies and systematic classifications. For example, using the original Linnaean taxonomy (the version he laid out in the 10th edition of Systema Naturae), a human can be formulated as:^[11]

${\displaystyle {\text{H. sapiens}}\subset {\text{Homo}}\subset {\text{Primates}}\subset {\text{Mammalia}}\subset {\text{Animalia}}}$ 

Taxonomies may change frequently (as seen in biological taxonomy), but the underlying concept of nested hierarchies is always the same.

In many programming taxonomies and syntax models (as well as fractals in mathematics), nested hierarchies, including Russian dolls, are also used to illustrate the properties of self-similarity and recursion. Recursion itself is included as a subset of hierarchical programming, and recursive thinking can be synonymous with a form of hierarchical thinking and logic.^[12]

Containment hierarchy

 

A diagram illustrating a containment hierarchy. The set of all squares is completely contained in the larger set of quadrilaterals, and so on.

A containment hierarchy is a direct extrapolation of the nested hierarchy concept. All of the ordered sets are still nested, but every set must be "strict"—no two sets can be identical. The shapes example above can be modified to demonstrate this:

${\displaystyle {\text{square}}\subsetneq {\text{quadrilateral}}\subsetneq {\text{polygon}}\subsetneq {\text{shape}}\,}$ 

The notation ${\displaystyle x\subsetneq y\,}$  means x is a subset of y but is not equal to y.

A general example of a containment hierarchy is demonstrated in class inheritance in object-oriented programming.

Two types of containment hierarchies are the subsumptive containment hierarchy and the compositional containment hierarchy. A subsumptive hierarchy "subsumes" its children, and a compositional hierarchy is "composed" of its children. A hierarchy can also be both subsumptive and compositional^{[example needed]}.^[13]

Subsumptive containment hierarchy

A subsumptive containment hierarchy is a classification of object classes from the general to the specific. Other names for this type of hierarchy are "taxonomic hierarchy" and "IS-A hierarchy".^[9][14][15] The last term describes the relationship between each level—a lower-level object "is a" member of the higher class. The taxonomical structure outlined above is a subsumptive containment hierarchy. Using again the example of Linnaean taxonomy, it can be seen that an object that is a member of the level Mammalia "is a" member of the level Animalia; more specifically, a human "is a" primate, a primate "is a" mammal, and so on. A subsumptive hierarchy can also be defined abstractly as a hierarchy of "concepts".^[15] For example, with the Linnaean hierarchy outlined above, an entity name like Animalia is a way to group all the species that fit the conceptualization of an animal.

Compositional containment hierarchy

A compositional containment hierarchy is an ordering of the parts that make up a system—the system is "composed" of these parts.^[16] Most engineered structures, whether natural or artificial, can be broken down in this manner.

The compositional hierarchy that every person encounters at every moment is the hierarchy of life. Every person can be reduced to organ systems, which are composed of organs, which are composed of tissues, which are composed of cells, which are composed of molecules, which are composed of atoms. In fact, the last two levels apply to all matter, at least at the macroscopic scale. Moreover, each of these levels inherit all the properties of their children.

In this particular example, there are also emergent properties—functions that are not seen at the lower level (e.g., cognition is not a property of neurons but is of the brain)—and a scalar quality (molecules are bigger than atoms, cells are bigger than molecules, etc.). Both of these concepts commonly exist in compositional hierarchies, but they are not a required general property. These level hierarchies are characterized by bi-directional causation.^[10] Upward causation involves lower-level entities causing some property of a higher level entity; children entities may interact to yield parent entities, and parents are composed at least partly by their children. Downward causation refers to the effect that the incorporation of entity x into a higher-level entity can have on x's properties and interactions. Furthermore, the entities found at each level are autonomous.

Contexts and applications

Kulish (2002) suggests that almost every system of organization which humans apply to the world is arranged hierarchically.^{[17][need quotation to verify]} Some conventional definitions of the terms "nation"^{[18][failed verification]} and "government"^{[19][failed verification]} suggest that every nation has a government and that every government is hierarchical. Sociologists can analyse socioeconomic systems in terms of stratification into a social hierarchy (the social stratification of societies), and all systematic classification schemes (taxonomies) are hierarchical.^[20] Most organized religions, regardless of their internal governance structures, operate as a hierarchy under deities and priesthoods. Many Christian denominations have an autocephalous ecclesiastical hierarchy of leadership. Families can be viewed as hierarchical structures in terms of cousinship (e.g., first cousin once removed, second cousin, etc.), ancestry (as depicted in a family tree) and inheritance (succession and heirship). All the requisites of a well-rounded life and lifestyle can be organized using Maslow's hierarchy of human needs - according to Maslow's hierarchy of human needs. Learning steps often follow a hierarchical scheme—to master differential equations one must first learn calculus; to learn calculus one must first learn elementary algebra; and so on. Nature offers hierarchical structures, as numerous schemes such as Linnaean taxonomy, the organization of life, and biomass pyramids attempt to document. Hierarchies are so infused into daily life that they are viewed^{[by whom?]} as trivial.^{[21][need quotation to verify][22]}

While the above examples are often^[quantify] clearly depicted in a hierarchical form and are classic examples, hierarchies exist in numerous systems where this branching structure is not immediately apparent. For example, most postal-code systems are hierarchical. Using the Canadian postal code system as an example, the top level's binding concept, the "postal district", consists of 18 objects (letters). The next level down is the "zone", where the objects are the digits 0–9. This is an example of an overlapping hierarchy, because each of these 10 objects has 18 parents. The hierarchy continues downward to generate, in theory, 7,200,000 unique codes of the format A0A 0A0 (the second and third letter positions allow 20 objects each). Most library classification systems are also hierarchical. The Dewey Decimal System is infinitely hierarchical because there is no finite bound on the number of digits can be used after the decimal point.^[23]

 

A simple military organizational hierarchy depicted in the form of a tree. Diagrams like this exemplify organizational charts.

Organizations

Main articles: Organizational structure and Hierarchical organization

Organizations can be structured^{[by whom?]} as a dominance hierarchy. In an organizational hierarchy, there is a single person or group with the most power or authority, and each subsequent level represents a lesser authority. Most organizations are structured in this manner,^[24] including governments, companies, armed forces, militia and organized religions. The units or persons within an organization may be depicted hierarchically in an organizational chart.

In a reverse hierarchy, the conceptual pyramid of authority is turned upside-down, so that the apex is at the bottom and the base is at the top. This mode represents the idea that members of the higher rankings are responsible for the members of the lower rankings.

Biology

Main article: Biological organisation § Fundamentals

Empirically, when we observe in nature a large proportion of the (complex) biological systems, they exhibit hierarchic structure.^[25] On theoretical grounds we could expect complex systems to be hierarchies in a world in which complexity had to evolve from simplicity.^[26] System hierarchies analysis performed in the 1950s,^[27][28] laid the empirical foundations for a field that would become, from the 1980s, hierarchical ecology.^{[29][30][31][32][33]}

The theoretical foundations are summarized by thermodynamics. When biological systems are modeled as physical systems, in the most general abstraction, they are thermodynamic open systems that exhibit self-organised behavior, and the set/subset relations between dissipative structures can be characterized^{[by whom?]} in a hierarchy.

Other hierarchical representations related to biology include ecological pyramids which illustrate energy flow or trophic levels in ecosystems, and taxonomic hierarchies, including the Linnean classification scheme and phylogenetic trees that reflect inferred patterns of evolutionary relationship among living and extinct species.

Computer-graphic imaging

Main article: 3D modeling

CGI and computer-animation programs mostly use hierarchies for models. On a 3D model of a human for example, the chest is a parent of the upper left arm, which is a parent of the lower left arm, which is a parent of the hand. This pattern is used in modeling and animation for almost everything built as a 3D digital model.

Linguistics

Many grammatical theories, such as phrase-structure grammar, involve hierarchy.

Direct–inverse languages such as Cree and Mapudungun distinguish subject and object on verbs not by different subject and object markers, but via a hierarchy of persons.

In this system, the three (or four with Algonquian languages) persons occur in a hierarchy of salience. To distinguish which is subject and which object, inverse markers are used if the object outranks the subject.

On the other hand, languages include a variety of phenomena that are not hierarchical. For example, the relationship between a pronoun and a prior noun-phrase to which it refers commonly crosses grammatical boundaries in non-hierarchical ways.

Music

The structure of a musical composition is often understood hierarchically (for example by Heinrich Schenker (1768–1835, see Schenkerian analysis), and in the (1985) Generative Theory of Tonal Music, by composer Fred Lerdahl and linguist Ray Jackendoff). The sum of all notes in a piece is understood to be an all-inclusive surface, which can be reduced to successively more sparse and more fundamental types of motion. The levels of structure that operate in Schenker's theory are the foreground, which is seen in all the details of the musical score; the middle ground, which is roughly a summary of an essential contrapuntal progression and voice-leading; and the background or Ursatz, which is one of only a few basic "long-range counterpoint" structures that are shared in the gamut of tonal music literature.

The pitches and form of tonal music are organized hierarchically, all pitches deriving their importance from their relationship to a tonic key, and secondary themes in other keys are brought back to the tonic in a recapitulation of the primary theme.

Examples of other applications

Information-based Library classification Dewey Decimal Classification

City planning-based Green transport hierarchy Roads Streets Settlement hierarchy As of 2010 As of 2100 (estimate according to Doxiadis, 1968)

Linguistics-oriented Language family tree Levels of adequacy for evaluating grammars Direct–inverse languages Structural linguistics Parse tree Formal grammars Abstract syntax tree Evolution of basic color terminology in languages

Power- or authority-based Aristocratic hierarchies In Europe In China Ecclesiastical hierarchies Catholic Church hierarchy LDS Church hierarchy Kimbanguist Church hierarchy Raëlism Church hierarchy see also autocephaly Prussian three-class franchise^[34] Political party hierarchies Nazi Party (pace overlapping fields^[35]) SS Hierarchy of subdivisions within the Gau Communist Party of the Soviet Union Chinese Communist Party Chain of command Military ranks Military units U.S. Military Combatant Commands Intraspecial dominance Pecking order Social classes Caste system in India Hierarchical structure of Feudal Japan White racist hierarchy Hierarchy of Exclusion (Ender's Game)

Value-related Hierarchy of genres in art Evidence Human needs Precious substances Judicial hierarchy of social values

Perception-based Color wheel Primary colors Secondary colors Tertiary colors

History-oriented Three-age system Cyclic theory of civilization Oswald Spengler Arnold J. Toynbee Spiral dynamics

Science-focussed Hierarchy of organization within the Universe Star systems Biological classification Biological organization Phylogenetic tree Evolutionary development Hierarchy of ecological georegions

Technology-based Memory hierarchy Cache hierarchy Clusters Class constructs Data organization Hierarchical query Data storage Computer files Devices IP addresses Memory Virtual memory allocation Networks Radio cells States (configurations) Web addresses Structure Data Structure Inheritance (object-oriented programming)

Religion-related

• Levels of consciousness
  • Chakras
  • Great chain of being
  • G.I. Gurdjieff
  • Timothy Leary
• Levels of spiritual development
  • In Theravada Buddhism
  • In Mahayana Buddhism
• Ages in the evolution of society
  • In Astrology
  • In Hellenism (the Ancient Greek Religion)
  • Dispensations in Protestantism
  • Dispensations in Mormonism
• Degrees of communion between various Christian churches
• UFO religions
  • Command hierarchy of the Ashtar Galactic Command flying saucer fleet
• Deities
  • In Japanese Buddhism
  • In Theosophy
• Angels
  • In Christianity
  • In Islam
  • In Judaism
    • Kabbalistic
  • In Zoroastrianism
• Devils and Demons
  • Devils
  • Demons
• Hells
  • In Catholicism (Nine Levels of Hell)
  • In Buddhism (Sixteen Levels of Hell)
• Religions in society
• (organizational hierarchies are listed under "Power- or authority-based")

Methods using hierarchy

• Analytic Hierarchy Process
  • Hierarchical Decision Process
• Hierarchic Object-Oriented Design
• Hierarchical Bayes model
• Hierarchical clustering
  • Hierarchical clustering of networks
• Hierarchical constraint satisfaction
• Hierarchical linear modeling
• Hierarchical modulation
• Hierarchical proportion
• Hierarchical radial basis function
• Hierarchical storage management
• Hierarchical task network
• Hierarchical temporal memory
• Hierarchical token bucket
• Hierarchical visitor pattern
• Presentation-abstraction-control
  • Hierarchical-Model-View-Controller

Criticisms

In the work of diverse theorists such as William James (1842 to 1910), Michel Foucault (1926 to 1984) and Hayden White (1928 to 2018), important critiques of hierarchical epistemology are advanced. James famously asserts in his work Radical Empiricism that clear distinctions of type and category are a constant but unwritten goal of scientific reasoning, so that when they are discovered, success is declared. But if aspects of the world are organized differently, involving inherent and intractable ambiguities, then scientific questions are often considered unresolved.

Feminists, Marxists, anarchists, communists, critical theorists and others, all of whom have multiple interpretations, criticize the hierarchies commonly found within human society, especially in social relationships. Hierarchies are present in all parts of society: in businesses, schools, families, etc. These relationships are often viewed as necessary. Entities that stand in hierarchical arrangements are animals, humans, plants, etc.

Ethics, behavioral psychology, philosophies of identity

 

Career-oriented purposes can be diagrammed using a hierarchy describing how less important actions support a larger goal.

In ethics, various virtues are enumerated and sometimes organized hierarchically according to certain brands of virtue theory.

In some of these random examples, there is an asymmetry of 'compositional' significance between levels of structure, so that small parts of the whole hierarchical array depend, for their meaning, on their membership in larger parts. There is a hierarchy of activities in human life: productive activity serves or is guided by the moral life; the moral life is guided by practical reason; practical reason (used in moral and political life) serves contemplative reason (whereby we contemplate God). Practical reason sets aside time and resources for contemplative reason.

See also

• Anarchy – Society without authorities or a governing body, against religion
• Class browser – Feature of coding platforms
• Forms of government – System or group of people governing an organized community, often a statePages displaying short descriptions of redirect targets
• Graph theory – Area of discrete mathematics
• Heterarchy – System of organization where the elements of the organization are unranked
• Hierarchical classifier – classification system based on hierarchical rulesPages displaying wikidata descriptions as a fallback
• Hierarchical epistemology – A theory of knowledge
• Hierarchical hidden Markov model
• Hierarchical INTegration – computer benchmarkPages displaying wikidata descriptions as a fallback
• Hierarchical Music Specification Language – Music programming language
• Hierarchy Open Service Interface Definition – programmatic interface specifications describing servicesPages displaying wikidata descriptions as a fallback
• Hierarchy problem – Unsolved problem in physics
• Holarchy § Different meanings
• Instrumental value – Philosophical conceptPages displaying short descriptions of redirect targets
• Layer (disambiguation)
• Multilevel model – Statistical models of parameters that vary at more than one level
• Multitree – Directed acyclic graph with ≤1 directed paths between any two nodes
• Ordinary (officer) – Ecclesiastical title for local authoritiesPages displaying short descriptions of redirect targets
  • Characters of Halo § High Prophets
  • List of Coptic Orthodox Popes of Alexandria
• Peter Principle – Management concept by Laurence J. PeterPages displaying short descriptions of redirect targets
• Ring (computer security) – Layer of protection in computer systemsPages displaying short descriptions of redirect targets
• Social dominance theory – Theory of intergroup relations

Structure-related concepts

(For example, in § Subtypes)

• Is-a
  • Hypernymy (and supertype)
  • Hyponymy (and subtype)
• Has-a
  • Holonymy
  • Meronymy

Footnotes

1. Dawkins, Richard (1976). Bateson, Paul Patrick Gordon; Hinde, Robert A. (eds.). Hierarchical organization: a candidate principle for ethology. Growing points in ethology: based on a conference sponsored by St. John's College and King's College, Cambridge. Cambridge, England: Cambridge University Press. pp. 7–54. ISBN 0-521-29086-4.
2. Simon, Herbert A. (12 December 1962). "The Architecture of Complexity". Proceedings of the American Philosophical Society. Philadelphia, Pennsylvania: American Philosophical Society. 106 (6): 467–482. CiteSeerX 10.1.1.110.961. ISSN 0003-049X. JSTOR 985254.(registration required)
3. "Catholic Encyclopedia: Hierarchy". from the original on 2021-01-26. Retrieved 2005-04-27.
4. "hierarchy". Online Etymology Dictionary. from the original on 2018-07-04.
5. Henry George Liddell; Robert Scott. "ἱεράρχης". A Greek–English Lexicon. from the original on 2021-07-03 – via Perseus Digital Library.
6. Henry George Liddell; Robert Scott. "ἱερεύς". A Greek–English Lexicon. from the original on 2020-09-28 – via Perseus Digital Library.
7. Henry George Liddell; Robert Scott. "ἀρχή". A Greek–English Lexicon. from the original on 2011-06-06 – via Perseus Digital Library.
8. Douglas Lemke (2002). Regions of War and Peace. Cambridge: University of Cambridge. p. 49.
9. Lehmann, Fritz (1996). Eklund, Peter G.; Ellis, Gerard; Mann, Graham (eds.). Big Posets of Participatings and Thematic Roles. Conceptual structures: knowledge representation as interlingua—4th International Conference on Conceptual Structures, ICCS '96, Sydney, Australia, August 19–22, 1996—proceedings. Lecture Notes in Artificial Intelligence 115. Germany: Springer. pp. 50–74. ISBN 3-540-61534-2.
10. Lane, David (2006). "Hierarchy, Complexity, Society". In Pumain, Denise (ed.). Hierarchy in Natural and Social Sciences. New York, New York: Springer-Verlag. pp. 81–120. ISBN 978-1-4020-4126-6.
11. Linnaei, Carl von (1959). Systema naturae per regna tria naturae :secundum classes, ordines, genera, species, cum characteribus, differentiis, synonymis, locis (in Latin) (10th ed.). Stockholm: Impensis Direct. ISBN 0-665-53008-0. from the original on 2008-10-10. Retrieved 2011-09-24.
12. Corballis, Michael (2011). The Recursive Mind. Princeton University Press. ISBN 978-0691145471.
13. Kopisch, Manfred; Günther, Andreas (1992). "Configuration of a passenger aircraft cabin based on conceptual hierarchy, constraints and flexible control". In Belli, Fevzi (ed.). Industrial and Engineering Applications of Artificial Intelligence and Expert Systems. Industrial and engineering applications of artificial intelligence and expert systems: 5th international conference, IEA/AIE-92, Paderborn, Germany, June 9–12, 1992 : proceedings. Lecture Notes in Computer Science Series. Vol. 602. Springer. pp. 424–427. doi:10.1007/BFb0024994. ISBN 3-540-55601-X. ISSN 0302-9743.
14. "Compositional hierarchy". WebSphere Transformation Extender Design Studio. Archived from the original on 3 January 2013. Retrieved 9 October 2009.
15. Funke, Birger; Sebastian, Hans-Jürgen (1999). "An advanced modeling environment based on a hybrid AI-OR approach". In Polis, Michael P.; Dontchev, Asen L.; Kall, Peter; Lascieka, Irena; Olbrot, Andrzej W. (eds.). Systems modelling and optimization: proceedings of the 18th IFIP TC7 conference. Research notes in mathematics series. Vol. 396. CRC Press. pp. 366–75. ISBN 978-0-8493-0607-5.
16. Parsons, David (2002). Object Oriented Programming in C++. Cengage Learning. pp. 110–185. ISBN 0-8264-5428-3.
17. Kulish, V. V. (2002). Hierarchical Methods: Hierarchy and hierarchical asymptotic methods in electrodynamics. Vol. 1. Springer. pp. xvii–xx, 49–71. ISBN 1-4020-0757-4.
18. Soanes, Catherine; Hawker, Sara (1991). . Compact Oxford English Dictionary. Oxford University Press. ISBN 978-0-19-861022-9. Archived from the original on 2007-09-29. Retrieved 2009-10-08.
19. Soanes, Catherine; Hawker, Sara (1991). . Compact Oxford English Dictionary. Oxford University Press. ISBN 978-0-19-861022-9. Archived from the original on 2007-09-29. Retrieved 2009-10-08.
20. "Social Stratification | Overview, Theories & Examples - Video & Lesson Transcript". study.com. from the original on 2022-06-24. Retrieved 2022-06-24.
21. Dawkins, Richard (7 October 1976). "Hierarchical organization: a candidate principle for ethology". In Bateson, P. P. G.; Hinde, R. A. (eds.). Growing Points in Ethology: based on a conference sponsored by St. John's College and King's College, Cambridge. Cambridge: Cambridge University Press (published 1976). ISBN 9780521212878. Retrieved 26 November 2021.
22. Kulish, Viktor Vasylevych (11 April 2006) [2002]. Hierarchical Methods: Hierarchy and Hierarchical Asymptotic Methods in Electrodynamics. Volume 123 of Fundamental Theories of Physics. Vol. 1. New York: Springer Science & Business Media (published 2006). p. xviii. ISBN 9780306480614. Retrieved 26 November 2021. At the same time, it is a trivial phenomenon of everyday life, too. Indeed, one can be convinced that there is a hierarchy in everyday life everywhere. We can affirm once more that a person lives in a completely hierarchical world.
23. Walker, Randy (May–June 2009). "Tracking Nuclear Sources" (PDF). wellservicingmagazine.com. pp. 28–30.^{[permanent dead link]}
24. "Organizational Chart and Hierarchy: Definition & Examples - Video & Lesson Transcript". study.com. from the original on 2022-06-24. Retrieved 2022-06-24.
25. Simon, Herbert A. (1962). "The Architecture of Complexity". Proceedings of the American Philosophical Society. 106 (6): 467–482. ISSN 0003-049X. JSTOR 985254. from the original on 2022-06-24. Retrieved 2022-06-24.
26. "Artificial Intelligence - foundations of computational agents -- 2 Agent Architectures and Hierarchical Control". artint.info. from the original on 2022-07-04. Retrieved 2022-06-24.
27. Evans 1951
28. Evans 1956
29. Margalef 1975
30. O'Neill 1986
31. Wicken & Ulanowicz 1988
32. Pumain 2006
33. Jordan & Jørgensen 2012
34. Tipton, Frank (January 2003). "Politics, Governance, and Diplomacy between Neoclassicism and Modernism". A History of Modern Germany Since 1815. London: A&C Black (published 2003). p. 239. ISBN 9780826449108. Retrieved 26 November 2021. Kühne believes the Prussian franchise lasted for over sixty years because it accurately reflected the social realities of the relatively closed, hierarchical, and conformist communities of rural Prussia.
35. Compare: Lee, Stephen J. (12 February 2016) [1987]. "Dictatorship in Germany". European Dictatorships 1918-1945 (4, revised ed.). London: Routledge (published 2016). p. 217. ISBN 9781317294221. Retrieved 26 November 2021. [...] Nazi administration is now regarded as an overlapping and confusing 'polycracy'. The basis of the criticism is that the multi-layering of agencies and the lack of proper delineation between them generated conflict and hampered efficiency. There was, for example, extensive rivalry between the Four-Year plan Office, the Ministry of Economics, the War ministry and the Plenipotentiary for Economics.

Works cited

• Evans, F. C. (1951), "Ecology and urban areal research", Scientific Monthly (73)
• Evans, F. C. (1956), "Ecosystem as basic unit in ecology", Science, 123 (3208): 1127–8, Bibcode:1956Sci...123.1127E, doi:10.1126/science.123.3208.1127, PMID 17793430
• Jordan, F.; Jørgensen, S. E. (2012), Models of the Ecological Hierarchy: From Molecules to the Ecosphere, Newnes, ISBN 9780444593962
• Margalef, R. (1975), "External factors and ecosystem stability", Schweizerische Zeitschrift für Hydrologie, 37 (1): 102–117, Bibcode:1975AqSci..37..102M, doi:10.1007/BF02505181, hdl:10261/337692, S2CID 20521602
• O'Neill, R. V. (1986), A Hierarchical Concept of Ecosystems, Princeton University Press, ISBN 0691084378
• Wicken, J. S.; Ulanowicz, R. E. (1988), "On quantifying hierarchical connections in ecology", Journal of Social and Biological Systems, 11 (3): 369–377, doi:10.1016/0140-1750(88)90066-8

Further reading

• Ahl, Valerie; Allen, Timothy F. H. (1996). Hierarchy Theory. New York: Columbia University Press. ISBN 0-231-08481-1.
• Akl, Selim G.; Taylor, Peter D. (1983). (PDF). Advances in Cryptology – Proceedings of CRYPTO '82. New York: Plenum Publishing Corporation. pp. 237–249. ISBN 0-306-41366-3. Archived from the original (PDF) on 2002-12-29.
• Carbone, June; Cahn, Naomi (2013). "Is marriage for rich men?". Nevada Law Journal. William S. Boyd School of Law. 13 (2): 6.
• Ckurshumova, Wenzislava (2007). Regulatory hierarchies in auxin signal transduction and vascular tissue development (PhD thesis). University of Toronto. Section B. hdl:1807/118234. ISBN 978-0-494-27682-2.
• Galindo, Cipriano; Fernández-Madrigal, Juan-Antonio (2007). Kacprzyk, Janusz (ed.). Multiple Abstraction Hierarchies for Mobile Robot Operation in Large Environments. Studies in Computational Intelligence. Berlin: Springer Berlin Heidelberg. ISBN 978-3-540-72688-3.
• Nelson, Julie (1992). "Gender, Metaphor and the Definition of Economics". Economics and Philosophy. 8 (1): 103–25. doi:10.1017/S026626710000050X. S2CID 146493891.
• Pumain, Denise (2006). Hierarchy in Natural and Social Sciences. New York, New York: Springer-Verlag. ISBN 978-1-4020-4126-6.
• Rosenbaum, A. (2000). Les représentations hiérarchiques en philosophie (in French). Paris: Desclee de Brouwer.
• Shahbaba, Babak (2007). Improving classification models when a class hierarchy is available (PhD thesis). University of Toronto. Section B. hdl:1807/119833. ISBN 978-0-494-28076-8.
  • Also includes full copies of:
  • Shahbaba, Babak; Neal, Radford M. (2007). (PDF). Bayesian Analysis. Carnegie Mellon University, Pittsburgh, Pennsylvania: International Society for Bayesian Analysis. 2 (1): 221–228. arXiv:math/0510449. Bibcode:2005math.....10449S. doi:10.1214/07-ba209. ISSN 1936-0975. S2CID 10611032. Archived from the original (PDF) on 2015-09-03.
  • Shahbaba, Babak; Neal, Radford M. (2006). "Gene function classification using Bayesian models with hierarchy-based priors". BMC Bioinformatics. London, England: BioMed Central. 7: 448. arXiv:q-bio/0605015. Bibcode:2006q.bio.....5015S. doi:10.1186/1471-2105-7-448. ISSN 1471-2105. PMC 1618412. PMID 17038174.

External links

 

Wikiquote has quotations related to Hierarchy.

•   Media related to Hierarchy at Wikimedia Commons
• (archived 7 February 2002)
• — S.N. Salthe (archived 21 July 2006)