Hugwis mental models: Difference between revisions

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:''This article won't be updated very frequently, but I'm working on it and intend to come back to it later. Hence, it is my wish that this article be kept. Thank you''

:''This article won't be updated very frequently, but I'm working on it and intend to come back to it later. Hence, it is my wish that this article be kept. Thank you. (2025)''

The '''Hugwis mental models''' (HOOG-wiss) is the underlying conceptual structure uniting all conlangs made by [[User:SN2rname|SN2]]. ''Hugwis'' is an acronym of all the conlangs I have planned~~, none of which is complete yet~~.

The '''Hugwis mental models''' (HOOG-wiss) is the underlying conceptual structure uniting all conlangs made by [[User:SN2rname|SN2]]. ''Hugwis'' is an acronym of all the conlangs I have planned.

== ~~Theory and background~~ ==

== Background ==

The underlying assumptions behind Hugwis are (a) an ''a priori'' conlang that is made from scratch reflects how the creator organizes and categorizes concepts mentally, (b) I can gain understanding of my own mental model by using itself to study itself, and (c) this mental model is relatively stable over time.

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The principles of Hugwis are redundancy, abstraction, systemization, chaos/ambiguity, preservation of detail, and flexibility/extensibility.

== "Structs" ==

=== Basic structure ===

The basic unit of Hugwis is the ''concept''. Information stored in the brain is thought to be encoded in a highly interconnected, mostly directional graph of concepts, and each concept is a node that links to other nodes.

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In Hugwis, the most prominent feature of a word is its length: 1-2 very short; 3-4 short; 5-8 medium; 9-16 long; 17+ very long (inclusive). This is because when I try to recall an unfamiliar word, the first information I retrieve is often this estimate of its length.

Consistent with existing research, my brain may assign extra importance for the first and last elements in a list. I sometimes misspell words by switching two letters in the middle (metathesis), like *"hazadrous" and *"revelant", and at one time I often forgot trisyllabic laxing, like *"maintainance" and *"exclaimation", although I seldom misremember the start and end, even with silent letters like "ptosis" and "choux". In Hwnic, the existence of circumfixes is based on this focus on start and end.

As a rule, when thinking about a word, I typically do not attempt to split the entire word into individual morphemes: "uninformed" is "un-" + "informed", and "interest" is even encoded as a single component.

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=== Action ===

agent, action, patient, properties[], ..., is_reflexive, is_agent_unknown, is_patient_unknown

Isn't "is ... unknown" an anti-pattern? In programming this may be true, but as a rule, boolean values in Hugwis default to false, and the attributes get a negation in the names.

The passive voice in Hugwis is simply an action with is_agent_unknown = true, so my conlangs often lack a separate passive voice.

It's true is_reflexive seems redundant here, because a reflexive ~~axction~~ can be represented by setting the agent and patient to the same, but this additional property may be an artifact introduced by language, namely the reflexive prefix like "self-".

It's true is_reflexive seems redundant here, because a reflexive action can be represented by setting the agent and patient to the same, but this additional property may be an artifact introduced by language, namely the reflexive prefix like "self-".

== "Processing" ==

=== Visual processing (not mapped) ===

Edge-detect and intersection-detect.

When viewing a flow chart, the nodes (intersections) are most important. With a map, I see intersections rather than roads and alleys. This is useful in many ways, because interesting places are often found at intersections, and I could better memorize roads which do not allow pedestrians to cross. Sometimes this impedes learning, as focusing on nodes can make me lose sight of shapes.

After using Bézier curves for animation and font-making, I even started to see some curved shapes as quadratic Bézier splines, though I can't yet work out waypoints for a random squiggle by a glance yet.

=== Concept-emotion distance ===

Words that are closely linked to certain emotions, like "death", "fight" and "localization", are processed differently. It's hard to determine how exactly so, though these words have a different "feel" to neutral nouns. I believe they are encoded to be both more intuitive and more precise, as opposed to intuitive but fuzzy words like "happy" and "sad", or precise but abstract words like "ontology" or "cyclohexane".

=== Dichotomies ===

All of my conlangs can be said to have two word classes. Even if I know many attributes of things exist on a sliding scale, I still see black and white, artificial and natural, dense and light, hard and soft, and other opposition pairs.

In Hwnic, this system is modernized to contain a "somewhere in between" and a "does not apply".

== Design choices of Hwnic ==

[[Hwnic]] is named after the "window handle" type HWND in WinAPI. (It is not related to HWN Energy acquisitions, printer models, or the surname Hwang.) It is thought to have a precise structure like a programming language, as it arose out of a desire to limit the chaos/ambiguity aspect of my thinking. However, this is not upheld at all times now.

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* agglutinative, but limiting the stacking of affixes

* Capital sigma sum, e.g. value 1, value 2, ..., value n. duplicative, sequential, or recursive

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* reduplication, doubling letter to show morpheme boundary, from ubosvi, mernc, rnsoc /z/

* mxa - mxu: see - sleep

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@@ Line 1: / Line 1: @@
-:''This article won't be updated very frequently, but I'm working on it and intend to come back to it later. Hence, it is my wish that this article be kept. Thank you''
+:''This article won't be updated very frequently, but I'm working on it and intend to come back to it later. Hence, it is my wish that this article be kept. Thank you. (2025)''
-The '''Hugwis mental models''' (HOOG-wiss) is the underlying conceptual structure uniting all conlangs made by [[User:SN2rname|SN2]]. ''Hugwis'' is an acronym of all the conlangs I have planned, none of which is complete yet.
+The '''Hugwis mental models''' (HOOG-wiss) is the underlying conceptual structure uniting all conlangs made by [[User:SN2rname|SN2]]. ''Hugwis'' is an acronym of all the conlangs I have planned.
-== Theory and background ==
+== Background ==
 The underlying assumptions behind Hugwis are (a) an ''a priori'' conlang that is made from scratch reflects how the creator organizes and categorizes concepts mentally, (b) I can gain understanding of my own mental model by using itself to study itself, and (c) this mental model is relatively stable over time.
@@ Line 12: / Line 12: @@
 The principles of Hugwis are redundancy, abstraction, systemization, chaos/ambiguity, preservation of detail, and flexibility/extensibility.
+== "Structs" ==
 === Basic structure ===
 The basic unit of Hugwis is the ''concept''. Information stored in the brain is thought to be encoded in a highly interconnected, mostly directional graph of concepts, and each concept is a node that links to other nodes.
@@ Line 34: / Line 35: @@
 In Hugwis, the most prominent feature of a word is its length: 1-2 very short; 3-4 short; 5-8 medium; 9-16 long; 17+ very long (inclusive). This is because when I try to recall an unfamiliar word, the first information I retrieve is often this estimate of its length.
+Consistent with existing research, my brain may assign extra importance for the first and last elements in a list. I sometimes misspell words by switching two letters in the middle (metathesis), like *"hazadrous" and *"revelant", and at one time I often forgot trisyllabic laxing, like *"maintainance" and *"exclaimation", although I seldom misremember the start and end, even with silent letters like "ptosis" and "choux". In Hwnic, the existence of circumfixes is based on this focus on start and end.
 As a rule, when thinking about a word, I typically do not attempt to split the entire word into individual morphemes: "uninformed" is "un-" + "informed", and "interest" is even encoded as a single component.
@@ Line 39: / Line 42: @@
 === Action ===
 agent, action, patient, properties[], ..., is_reflexive, is_agent_unknown, is_patient_unknown
+Isn't "is ... unknown" an anti-pattern? In programming this may be true, but as a rule, boolean values in Hugwis default to false, and the attributes get a negation in the names.
 The passive voice in Hugwis is simply an action with is_agent_unknown = true, so my conlangs often lack a separate passive voice.
-It's true is_reflexive seems redundant here, because a reflexive axction can be represented by setting the agent and patient to the same, but this additional property may be an artifact introduced by language, namely the reflexive prefix like "self-".
+It's true is_reflexive seems redundant here, because a reflexive action can be represented by setting the agent and patient to the same, but this additional property may be an artifact introduced by language, namely the reflexive prefix like "self-".
+== "Processing" ==
+=== Visual processing (not mapped) ===
+Edge-detect and intersection-detect.
+When viewing a flow chart, the nodes (intersections) are most important. With a map, I see intersections rather than roads and alleys. This is useful in many ways, because interesting places are often found at intersections, and I could better memorize roads which do not allow pedestrians to cross. Sometimes this impedes learning, as focusing on nodes can make me lose sight of shapes.
+After using Bézier curves for animation and font-making, I even started to see some curved shapes as quadratic Bézier splines, though I can't yet work out waypoints for a random squiggle by a glance yet.
+=== Concept-emotion distance ===
+Words that are closely linked to certain emotions, like "death", "fight" and "localization", are processed differently. It's hard to determine how exactly so, though these words have a different "feel" to neutral nouns. I believe they are encoded to be both more intuitive and more precise, as opposed to intuitive but fuzzy words like "happy" and "sad", or precise but abstract words like "ontology" or "cyclohexane".
+=== Dichotomies ===
+All of my conlangs can be said to have two word classes. Even if I know many attributes of things exist on a sliding scale, I still see black and white, artificial and natural, dense and light, hard and soft, and other opposition pairs.
+In Hwnic, this system is modernized to contain a "somewhere in between" and a "does not apply".
 == Design choices of Hwnic ==
 [[Hwnic]] is named after the "window handle" type HWND in WinAPI. (It is not related to HWN Energy acquisitions, printer models, or the surname Hwang.) It is thought to have a precise structure like a programming language, as it arose out of a desire to limit the chaos/ambiguity aspect of my thinking. However, this is not upheld at all times now.
+<!--
 * agglutinative, but limiting the stacking of affixes
 * Capital sigma sum, e.g. value 1, value 2, ..., value n. duplicative, sequential, or recursive
@@ Line 53: / Line 73: @@
 * reduplication, doubling letter to show morpheme boundary, from ubosvi, mernc, rnsoc /z/
 * mxa - mxu: see - sleep
+-->