GM-RKB - Recent changes [en]

Normalized Function

Gmelli — Thu, 24 Sep 2026 04:04:31 GMT

Stub pilot 8/8 (PR-008): rewrite of a stub to the GM-RKB house style; rubric v1.1 composite 13/18; read before publishing.

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-A [[Normalized Function]] is a [[numeric-output function]] whose [[function range|range]] has [[transformed function|transformed]] by a [[normalizing factor]].
+A [[Normalized Function]] is a [[numeric-output function]] whose [[function range|range]] has been [[transformed function|transformed]] by a [[normalizing factor]] to produce values within a [[standardized range]].
 * <B>Example(s):</B>
-** a [[Normalized Discounted Cumulative Gain]] is a normalized version of the [[discounted cumulative gain]].
+** [[Normalized Ranking Metric]]s, such as:
-** a [[Normalized Mutual Information Metric]] is a normalized version of the [[mutual information metric]].
+*** a [[Normalized Discounted Cumulative Gain]], a normalized version of the [[discounted cumulative gain]].
 ** …
 * <B>Counter-Example(s):</B>
-** a [[Normalized Vector]].
+** a [[Normalized Vector]], which is a [[vector]] rather than a [[function]].
-* <B>See:</B> [[Function]], [[Range]], [[Normalization]].
+** a [[Normalized Database Schema]], which applies [[database normalization]] rather than a [[range]] transformation.
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+== References ==
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 [[Category:Concept]]

Vanguard (Advance Guard)

Gmelli — Thu, 24 Sep 2026 04:04:16 GMT

Stub pilot 7/8 (PR-008): rewrite of a stub to the GM-RKB house style; rubric v1.1 composite 17/18; read before publishing.

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-A [[Vanguard (Advance Guard)]] is a [[Military Formation]] that ...
+A [[Vanguard (Advance Guard)]] is a [[military formation]] that constitutes the leading part of an advancing [[military force]] responsible for seeking out the [[enemy force]] and securing [[ground]] ahead of the [[main body]].
-* <B>See:</B> [[Military Formation]].
+* <B>AKA:</B> [[Advance Guard]], [[Advanced Guard]], [[Van (Military)]].
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 == References ==

Arylcyclohexylamine

Gmelli — Thu, 24 Sep 2026 04:04:00 GMT

Stub pilot 6/8 (PR-008): rewrite of a stub to the GM-RKB house style; rubric v1.1 composite 16/18; read before publishing.

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-An [[Arylcyclohexylamine]] is a [[compound]] with a [[cyclohexylamine unit]] with an [[aryl moiety attachment]].
+An [[Arylcyclohexylamine]] is a [[chemical class]] that consists of a [[compound]] with a [[cyclohexylamine unit]] bonded to an [[aryl moiety]].
 * <B>Example(s):</B>
-** [[Ketamine]].
+** [[Clinical Arylcyclohexylamine]]s, such as:
 ** …
-* <B>See:</B> [[Chiral Compound]], [[Experimental Drug]], [[Chemical Class]], [[Pharmaceutical Drug]], [[Designer Drug]].
+* <B>See:</B> [[Chiral Compound]], [[Experimental Drug]], [[Chemical Class]], [[Pharmaceutical Drug]], [[Designer Drug]], [[NMDA Receptor Antagonist]], [[Dissociative Anesthetic]], [[Ketamine]], [[Phencyclidine]], [[Research Chemical]], [[Controlled Substance]].
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 == References ==

Contamination Presence

Gmelli — Thu, 24 Sep 2026 04:03:44 GMT

Stub pilot 5/8 (PR-008): rewrite of a stub to the GM-RKB house style; rubric v1.1 composite 17/18; read before publishing.

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-A [[Contamination Presence]] is a [[presence]] of an [[impurity]] (a [[contaminant]]).
+A [[Contamination Presence]] is a [[substance presence]] that is the [[unwanted presence]] of a [[contaminant]] (an [[impurity]] or other [[undesirable constituent]]) within a [[material]], [[physical body]], [[natural environment]], or [[workplace]].
 * <B>Example(s):</B>
-** [[Pollution]].
+** [[Environmental Contamination Presence]]s, such as:
-* <B>See:</B> [[Physical Body]], [[Natural Environment]].
+*** [[Air Pollution]] from [[particulate matter]].
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 == References ==
@@ Line 13: / Line 56: @@
 ** '''Contamination''' is the presence of a constituent, [[impurity]], or some other undesirable element that spoils, corrupts, infects, makes unfit, or makes inferior a material, [[physical body]], [[natural environment]], [[wiktionary:Workplace|workplace]], etc.
 <references/>
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 [[Category:Concept]]

Chat-based Document Q&A

Gmelli — Thu, 24 Sep 2026 04:03:29 GMT

Stub pilot 4/8 (PR-008): rewrite of a stub to the GM-RKB house style; rubric v1.1 composite 15/18; read before publishing.

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-A [[Chat-based Document Q&A]] is a [[Document Q&A]] that is a [[chat-based application]].
+A [[Chat-based Document Q&A]] is a [[document Q&A task]] that is a [[chat-based application]] which supports [[conversational question answering]] over one or more [[source document]]s through an [[interactive chat interface]].
 * <B>Example(s):</B>
-** [[Chat-based Contract Q&A]].
+** [[Domain-Specific Chat Document Q&A]]s, such as:
 ** …
-* <B>See:</B> [[...]].
+* <B>See:</B> [[Document Q&A]], [[Question Answering Task]], [[Retrieval Augmented Generation (RAG)]], [[LlamaIndex]], [[Vector Database]], [[Large Language Model]], [[Conversational AI System]], [[Semantic Search]], [[Chatbot]].
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 == References ==

Branded Product Category Mention

Gmelli — Thu, 24 Sep 2026 04:03:12 GMT

Stub pilot 3/8 (PR-008): rewrite of a stub to the GM-RKB house style; rubric v1.1 composite 15/18; read before publishing.

← Older revision		Revision as of 04:03, 24 September 2026
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	A [[Branded Product Category Mention]] is a [[product-related mention]] that is a [[branded product category term]].		A [[Branded Product Category Mention]] is a [[product-related mention]] that is a [[branded product category term]] occurrence within [[text]] that references a [[commercial product category]] associated with a specific [[brand]].
			* <B>AKA:</B> [[Brand Product Category Mention]], [[Branded Category Mention]], [[Branded Product-Category Text Mention]].
	* <B>Context:</B>		* <B>Context:</B>
	** It can range from being an [[Unannotated Branded Product Category Mention]] to being an [[Annotated Branded Product Category Mention]].		** It can (typically) reference a [[branded product category]] through a [[surface form]] appearing in [[natural language text]].
			** It can (typically) associate a [[product category]] with a specific [[brand name]] or [[brand identity]].
			** It can (typically) be identified by a [[Named Entity Recognition Task\|named entity recognition]] process during [[text processing]].
			** It can (typically) be extracted by a [[Mention Detection Task\|mention detection]] process.
			** It can (typically) be linked to a [[knowledge base entry]] through an [[Entity Linking Task\|entity linking]] process.
			** It can (typically) be disambiguated from other [[product-related mention]]s via a [[disambiguation process]].
			** It can (typically) occur within [[commercial text]], such as a [[product review]], an [[advertisement]], or an [[e-commerce listing]].
			** It can (typically) carry a [[mention boundary]] delimited by a [[start offset]] and an [[end offset]].
			** It can (often) be annotated with a [[category label]] during a [[text annotation task]].
			** It can (often) be associated with [[product attribute]]s such as a [[brand attribute]] and a [[product type attribute]].
			** It can (often) appear alongside a [[product name mention]] and a [[product feature mention]].
			** It can (often) be aggregated within a [[branded product category mention corpus]].
			** It can (often) serve as a [[training example]] for a [[mention classification model]].
			** It can (often) be evaluated with a [[precision measure]] and a [[recall measure]].
			** It can (often) support a [[product categorization task]] and a [[market analysis task]].
			** It can (often) be normalized to a [[canonical branded product category]].
			** It can range from being an [[Unannotated Branded Product Category Mention]] to being an [[Annotated Branded Product Category Mention]], depending on its [[annotation status]].
			** It can range from being an [[Explicit Branded Product Category Mention]] to being an [[Implicit Branded Product Category Mention]], depending on its [[reference explicitness]].
			** It can range from being a [[Single-Token Branded Product Category Mention]] to being a [[Multi-Token Branded Product Category Mention]], depending on its [[mention span length]].
			** It can integrate with an [[entity linking system]] for [[knowledge base grounding]].
			** It can integrate with a [[product taxonomy]] for [[category assignment]].
	** …		** …
	* <B>Example(s):</B>		* <B>Example(s):</B>
	** an [[Automotive Branded Product Category Mention]].		** [[Domain-Specific Branded Product Category Mention]]s, such as:
			*** an [[Automotive Branded Product Category Mention]] for [[vehicle categorization]].
			*** an [[Electronics Branded Product Category Mention]] for [[consumer electronics categorization]].
			*** an [[Apparel Branded Product Category Mention]] for [[clothing categorization]].
			** [[Annotation-Status Branded Product Category Mention]]s, such as:
			*** an [[Annotated Branded Product Category Mention]] labeled during a [[text annotation task]].
			*** an [[Unannotated Branded Product Category Mention]] within [[raw text]].
			** the [[Text Mention\|mention]] "[[Nike running shoes]]" occurring within a [[product review]], which associates the [[shoe product category]] with the [[Nike brand]].
			** the [[Text Mention\|mention]] "[[Toyota sedans]]" occurring within an [[automotive advertisement]], which associates the [[sedan product category]] with the [[Toyota brand]].
	** …		** …
	* <B>Counter-Example(s):</B>		* <B>Counter-Example(s):</B>
	** a [[Branded Product Category]].		** a [[Branded Product Category]], which is the [[category concept]] itself rather than its [[textual mention]].
	** a [[Branded Product Category Term]].		** a [[Branded Product Category Term]], which is the [[term]] rather than its [[in-text occurrence]].
	* <B>See:</B> [[Product Category Term]].		** a [[Product Category Mention]], which lacks a [[brand association]].
			** a [[Product Name Mention]], which references a [[specific product]] rather than a [[product category]].
			** …
			* <B>See:</B> [[Product Category Term]], [[Product-Related Mention]], [[Named Entity Mention]], [[Mention Detection Task]], [[Entity Linking Task]], [[Product Taxonomy]], [[Brand]].

	----		----
	----		== References ==
			** ([[DBpedia Spotlight (2011)]]) ⇒ Pablo N. Mendes, Max Jakob, Andrés García-Silva, and Christian Bizer. (2011). "DBpedia Spotlight: Shedding Light on the Web of Documents." In: Proceedings of the 7th International Conference on Semantic Systems (I-Semantics).
			** ([[TAGME (2012)]]) ⇒ Paolo Ferragina, and Ugo Scaiella. (2012). "Fast and Accurate Annotation of Short Texts with Wikipedia Pages." In: IEEE Software.

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	[[Category:Concept]]		[[Category:Concept]]

Word Form Record Set

Gmelli — Thu, 24 Sep 2026 04:02:57 GMT

Stub pilot 2/8 (PR-008): rewrite of a stub to the GM-RKB house style; rubric v1.1 composite 14/18; read before publishing.

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-A [[Word Form Record Set]] is a [[dataset]] of [[word form record]]s.
+A [[Word Form Record Set]] is a [[lexical dataset]] that is a [[dataset]] of [[word form record]]s.
-* <B>AKA:</B> [[Word Form Record Set|Word Inventory]], [[Word Form Record Set|Word Database]], [[Word Form Record Set|Word List]].
+* <B>AKA:</B> [[Word Inventory]], [[Word Database]], [[Word List]], [[Word Form Inventory]].
-* <B>Context</U>:</B>
+* <B>Context:</B>
-** It can represent a [[Word Form Set]].
+** It can (typically) represent a [[Word Form Set]] as a [[structured collection]].
-** It can be used by a [[Word-level Analysis Task]].
+** It can (typically) contain [[word form record]]s, each describing a [[surface form]] of a [[word]].
-* <B>Example(s):</B>
+** It can (typically) store [[orthographic form]]s of [[word]]s.
-** a [[Stopword List]].
+** It can (typically) associate each [[word form record]] with a [[lemma]].
-** a [[Common Word List]], of [[common word]]s.
+** It can (typically) index [[word form]]s for fast [[lookup operation]]s.
-* <B>See:</B> [[Lexical Database]], [[Word Sense Inventory]].
+** It can (typically) support [[word membership testing]] against a known [[vocabulary]].
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+== References ==
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 [[Category:Concept]]

L2-Norm Regularized Optimization Task

Gmelli — Thu, 24 Sep 2026 04:02:40 GMT

Stub pilot 1/8 (PR-008): rewrite of a stub to the GM-RKB house style; rubric v1.1 composite 13/18; read before publishing.

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-An [[L2-Norm Regularized Optimization Task]] is a [[function optimization task]] that includes a …
+An [[L2-Norm Regularized Optimization Task]] is a [[regularized optimization task]] that is a [[function optimization task]] which includes an [[L2-norm regularization term]] in its [[objective function]].
-optimizes an [[L2-norm]].
+* <B>AKA:</B> [[ℓ2 Regularization]], [[Ridge Regularization]], [[Tikhonov Regularization]], [[Weight Decay]].
-* <B>AKA:</B> [[ℓ2 Regularization]].
+* <B>Context:</B>
-* <B>Context</U>:</B>
+** It can (typically) minimize an [[objective function]] that combines an [[empirical loss term]] with an [[L2-norm regularization term]].
-** It can solve the following [[Unconstrained Optimization Task]] <math>\min (\mathbf{w})^{1/2} \mathbf{w} \mathbf{w}^T + C \sum_{i=1}^l \log (1 + e^{(-y_i \mathbf{w}^T \mathbf{x}_i)})</math>, where, <math>\mathbf{x}</math> is a [[labeled training record]], and <math>l</math> is the [[training set size]].
+** It can (typically) penalize large [[model parameter]]s by adding the [[squared L2-norm]] of the [[weight vector]] scaled by a [[regularization coefficient]].
 ** …
-* <B>Counter-Example(s):</B>
+* <B>Example(s):</B>
-** [[L1 Norm Regularization]].
+** [[Regularized Regression Task]]s, such as:
-** [[L0 Norm Regularization]].
+*** [[Ridge Regression Task]] for [[linear regression]] with an [[L2-norm penalty]].
-* <B>See:</B> [[L2 Regularized Logistic Regression]], [[L2-Norm Regularizer]], [[Regularization]].
+*** [[L2 Regularized Logistic Regression Task]] for [[binary classification]].
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 __NOTOC__
 [[Category:Concept]]

Database Management Task

Gmelli — Thu, 24 Sep 2026 03:52:39 GMT

Stub pilot 1/9 (PR-008): rewrite of a stub to the GM-RKB house style; rubric v1.1 composite 15/18; read before publishing.

← Older revision		Revision as of 03:52, 24 September 2026
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	A [[Database Management Task]] is a [[data management task]] that manages a [[data base]].		A [[Database Management Task]] is a [[data management task]] that manages a [[data base]] through a [[database management system]].
	* <B>~~Context~~</U>:</B>		* <B>AKA:</B> [[DB Management Task]], [[Database Administration Task]], [[DBMS Task]].
	** It can be supported by a [[Database Management System]].		* <B>Context:</B>
	** It can ~~involve:~~		** It can typically maintain [[Data Integrity]] across [[database table]]s and [[database record]]s.
	*** a [[Database ~~Backup~~ Task]].		** It can typically enforce [[Data Consistency]] through [[database constraint]]s and [[transaction management]].
	*** a [[Database ~~Retrieval~~ Task]].		** It can typically support [[Data Storage]] via [[storage engine]]s and [[disk allocation]].
	*** a [[Database ~~Indexing~~ Task]].		** It can typically enable [[Data Retrieval]] through [[query execution]] and [[database indexing]].
			** It can typically manage [[Concurrent Access]] using [[concurrency control]] and [[database locking]].
			** It can typically preserve [[Data Durability]] with [[transaction log]]s and [[write-ahead logging]].
			** It can typically be supported by a [[Database Management System]] and a [[Database Administrator]].
			** It can often perform [[Database Backup Task]]s for [[disaster recovery]].
			** It can often perform [[Database Recovery Task]]s after [[system failure]]s.
			** It can often perform [[Database Indexing Task]]s to accelerate [[query performance]].
			** It can often perform [[Database Retrieval Task]]s for [[data access]].
			** It can often perform [[Database Optimization Task]]s through [[query tuning]] and [[index optimization]].
			** It can often perform [[Database Migration Task]]s across [[database platform]]s.
			** It can often perform [[Database Replication Task]]s for [[high availability]].
			** It can often perform [[Database Archival Task]]s for [[long-term retention]].
			** It can often perform [[Database Security Task]]s via [[access control]] and [[data encryption]].
			** It can often perform [[Database Monitoring Task]]s using [[performance metric]]s.
			** It can often perform [[Schema Management Task]]s through [[schema definition]] and [[schema evolution]].
			** It can often support [[Data Distribution]] across [[distributed database]]s.
			** It can often enable [[Capacity Planning]] for [[storage growth]].
			** It can range from being a [[Manual Database Management Task]] to being an [[Automated Database Management Task]], depending on its [[automation level]].
			** It can range from being a [[Single-Node Database Management Task]] to being a [[Distributed Database Management Task]], depending on its [[deployment topology]].
			** It can range from being a [[Relational Database Management Task]] to being a [[NoSQL Database Management Task]], depending on its [[data model]].
			** It can range from being a [[Transactional Database Management Task]] to being an [[Analytical Database Management Task]], depending on its [[workload type]].
			** It can integrate with [[Data Governance Framework]]s for [[compliance management]].
			** It can integrate with [[Cloud Database Service]]s for [[managed infrastructure]].
	** …		** …
	* <B>Example(s):</B>		* <B>Example(s):</B>
	** a [[Corpus Management Task]], for a [[corpus]].		** [[Domain-Specific Database Management Task]]s, such as:
	** a [[~~Taxonomy~~ Database Management Task]].		*** [[Corpus Management Task]]s, for a [[corpus]].
			*** [[Taxonomy Database Management Task]]s, for a [[taxonomy database]].
			*** [[Knowledge Base Management Task]]s, for a [[knowledge base]].
			** [[Relational Database Management Task]]s, such as:
			*** [[PostgreSQL Administration Task]]s, on a [[PostgreSQL Database]].
			*** [[MySQL Administration Task]]s, on a [[MySQL Database]].
			*** [[Oracle Database Administration Task]]s, on an [[Oracle Database]].
			** [[NoSQL Database Management Task]]s, such as:
			*** [[MongoDB Administration Task]]s, on a [[MongoDB Database]].
			*** [[Cassandra Administration Task]]s, on an [[Apache Cassandra Database]].
			** [[Cloud Database Management Task]]s, such as:
			*** [[Amazon RDS Management Task]]s (2009), on [[Amazon RDS]].
			*** [[Google Cloud SQL Management Task]]s (2011), on [[Google Cloud SQL]].
			*** [[Azure SQL Database Management Task]]s (2010), on [[Azure SQL Database]].
	** …		** …
	* <B>Counter-Example(s):</B>		* <B>Counter-Example(s):</B>
	** a [[Database ~~Creation~~ Task]].		** [[Database Creation Task]]s, which establish a new [[database]] rather than manage an existing one.
	* <B>See:</B> [[DBMS Task]], [[Database Administrator]], [[Database Archival]], [[Data Distribution]].		** [[Database Design Task]]s, which produce a [[database schema]] rather than operate on stored data.
			** [[Data Analysis Task]]s, which extract [[insight]]s rather than maintain [[data infrastructure]].
			** [[File Management Task]]s, which handle [[file system]] objects rather than [[database]] structures.
			** …
			* <B>See:</B> [[DBMS Task]], [[Database Administrator]], [[Database Archival]], [[Data Distribution]], [[Database Management System]], [[Data Management Task]], [[Query Execution]], [[Transaction Management]].

	----		----
	-~~---~~		== References ==
			** ([[Codd, 1970]]) ⇒ Edgar F. Codd. (1970). "A Relational Model of Data for Large Shared Data Banks." In: Communications of the ACM, 13(6). [https://doi.org/10.1145/362384.362685 doi:10.1145/362384.362685]
			** ([[Silberschatz et al., 2019]]) ⇒ Abraham Silberschatz, Henry F. Korth, and S. Sudarshan. (2019). "Database System Concepts, 7th Edition." McGraw-Hill.

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	[[Category:Concept]]		[[Category:Concept]]

Fleet (AGET)

Gmelli — Wed, 23 Sep 2026 21:45:53 GMT

Targeted add-context Fleet (AGET): rubric 9 -> 10 (PR-002 Silver target). Authorized PR-003.

← Older revision		Revision as of 21:45, 23 September 2026
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	** It can (typically) propagate [[Framework Version]] upgrades through a [[Fleet Upgrade Lifecycle]], so member seats converge on one [[Framework Release]].		** It can (typically) propagate [[Framework Version]] upgrades through a [[Fleet Upgrade Lifecycle]], so member seats converge on one [[Framework Release]].
	** It can (typically) exchange [[Fleet Message]]s carrying [[Substrate-OK Protocol]] signals and [[Evidence Chain]]s between seats.		** It can (typically) exchange [[Fleet Message]]s carrying [[Substrate-OK Protocol]] signals and [[Evidence Chain]]s between seats.
			** It can (typically) maintain a [[Fleet Registry]] recording each member's [[Agent Seat Identity]], [[Agent Domain Scope]], and [[Framework Release]].
			** It can (typically) preserve [[Seat Autonomy]] so that each member [[AGET Agent]] governs its own [[Local Skill Set]] within the [[Uniform Governance Policy]].
	** ...		** ...
	** It can (often) designate [[Stewardship Ownership]] for shared vocabularies, so a [[Framework Vocabulary]] has exactly one [[Steward Seat]].		** It can (often) designate [[Stewardship Ownership]] for shared vocabularies, so a [[Framework Vocabulary]] has exactly one [[Steward Seat]].
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	** It can (often) constrain a member seat to [[Read-Only Cross-Seat Access]], so one seat may audit another without write authority.		** It can (often) constrain a member seat to [[Read-Only Cross-Seat Access]], so one seat may audit another without write authority.
	** It can (often) accumulate [[Cross-Seat Learning]] as [[Learning Document]]s that outlive any single [[Software Session]].		** It can (often) accumulate [[Cross-Seat Learning]] as [[Learning Document]]s that outlive any single [[Software Session]].
			** It can (often) detect [[Cross-Seat Drift]] through periodic [[Fleet Health Check]]s that compare member [[Framework Release]]s and [[Governance Conformance]] levels.
			** It can (often) resolve a [[Cross-Seat Conflict]] via a [[Steward Advisory]] or an escalation to the [[Supervisor AGET]].
	** ...		** ...
	** It can range from being a [[Personal Agent Fleet]] to being an [[Organizational Agent Fleet]], depending on its [[Fleet Scale]].		** It can range from being a [[Personal Agent Fleet]] to being an [[Organizational Agent Fleet]], depending on its [[Fleet Scale]].
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	** It can range from being a [[Single-Portfolio Fleet]] to being a [[Multi-Portfolio Fleet]], depending on its [[Portfolio Topology]].		** It can range from being a [[Single-Portfolio Fleet]] to being a [[Multi-Portfolio Fleet]], depending on its [[Portfolio Topology]].
	** It can range from being a [[Loosely-Governed Fleet]] to being a [[Strictly-Governed Fleet]], depending on its [[Governance Intensity]].		** It can range from being a [[Loosely-Governed Fleet]] to being a [[Strictly-Governed Fleet]], depending on its [[Governance Intensity]].
			** It can range from being a [[Single-Substrate Fleet]] to being a [[Multi-Substrate Fleet]], depending on its [[Substrate Topology]].
			** It can range from being a [[Statically-Membered Fleet]] to being a [[Dynamically-Membered Fleet]], depending on its [[Seat Membership Volatility]].
	** ...		** ...
	** It can be distinguished from an [[Ad-Hoc Agent Collection]] by its shared [[Governance Policy]] and [[Fleet Upgrade Lifecycle]].		** It can be distinguished from an [[Ad-Hoc Agent Collection]] by its shared [[Governance Policy]] and [[Fleet Upgrade Lifecycle]].
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	** It can exhibit [[Correlated Seat Error]] when multiple seats reason from one [[Contaminated Source Artifact]], which resembles [[Independent Corroboration]] but is not.		** It can exhibit [[Correlated Seat Error]] when multiple seats reason from one [[Contaminated Source Artifact]], which resembles [[Independent Corroboration]] but is not.
	** It can require a [[Seat Abbreviation Registry]] if [[Skill Namespace]]s are qualified per seat.		** It can require a [[Seat Abbreviation Registry]] if [[Skill Namespace]]s are qualified per seat.
			** It can incur [[Governance Drift]] when a member seat diverges from the [[Uniform Governance Policy]] without a corresponding [[Evolution Document]].
			** It can bottleneck at a [[Steward Seat]] when [[Stewardship Ownership]] concentrates too many [[Framework Vocabulary]] decisions in one member.
	** ...		** ...
	* <B>Example(s):</B>		* <B>Example(s):</B>