SlideShare a Scribd company logo
Point-free semantics of dependent type theories
M Benini, R Bonacina
Università degli Studi dell’Insubria
University of Canterbury,
December 4th, 2017
Why
Also known as constructive type theory, or Martin-Löf type theory,
dependent type theory has recently seen a huge raise of interest
because it is the basis for homotopy type theory.
Semantics for dependent type theories are known: they are variations
on the semantics of typed λ-calculi. Usually, they are complex:
they are either based on the advanced theory of orders (specialised
domains), or on category theory;
in the case of categorical models, they use non-elementary
constructions (fibrations, higher-order cells, . . . );
homotopy type theory has an intended semantics based on
∞-groupoids;
the only categorical semantics (Seely) which does not use those
advanced constructions, contains a problem (i.e., it does not
work). Locally Cartesian closed categories are not enough to
properly model dependent type theory (Hoffman, Dybjer).
( 2 of 17 )
Why
Why are complex, higher-order models needed? Are they, really?
These were the initial questions that have been addressed in
Roberta’s master thesis. The answer was that there is no need for
such complex constructions: a categorical model, using no
higher-order constructions, suffices to provide a sound and complete
explanation to dependent type theory.
However, the result was not completely satisfactory because
the notion of inductive theory was sketched but not precisely
defined in all the details;
some passages in the soundness and completeness proofs were
reasonable but not formal;
in the overall, there was the feeling that the result had to be
polished to reach its maximal generality.
( 3 of 17 )
What
So, the visit here, at the University of Canterbury had the purpose to
precisely define the syntactic notion of inductive theory, and pave
the way toward its extension to higher-inductive types, as defined
in homotopy type theory;
polish the semantics and fix all the passages in the soundness and
completeness proofs.
In short, we did it!
In the following, I am going to give a glance to the semantics.
( 4 of 17 )
Point-free semantics
Consider the following inductive types:
the 0 type, which is characterised as the type having no terms;
the N−
, which is characterised by the rule having the inductive step
n : N−
→ succ(n) : N−
but not the basic step 0 : N−
.
Usually, these two types are considered equivalent because they have
no terms belonging to them: the minimal fix point of their
constructing rules is the same.
However, they can be distinguished: if x : 0 and y : N−
stand for some
objects in the types 0 and N−
, it is evident that no object other than
x is forced to be in 0, while succ(y), succ(succ(y)), ... are all in N−
.
We want a semantics in which the meaning of a type depends on the
context in which it is defined, so to be able to distinguish 0 from N−
.
( 5 of 17 )
Point-free semantics
The semantics is then point-free: types and their terms do not
identify entities (“points”) in some universe. They explain how
judgements are kept together by the logical inferences. And they do
so by taking local values, which change under different assumptions.
So N−
is not equivalent to the 0 type: they are the same thing in the
empty context, while they differ in a context in which we assume both
types contain at least one term.
( 6 of 17 )
The big picture
The semantics is based on category theory.
An inductive theory, i.e., a series of inductive types defined in the
standard dependent type theory, has models in the class of
ML-categories.
These categories allow to interpret dependent type theory and
inductive types in a natural way. A category which makes valid all the
judgements of an inductive theory is a model, and it has holds that
every inductive theory has a model (Soundness);
every judgement which is valid in any model of an inductive theory
is derivable (Completeness);
for every inductive theory there is a model which is contained in
every other model (Classification).
( 7 of 17 )
The big picture
Mctx
Γ
MΓ
∆
M∆
•
M•
Mctx is a partial order with minimum • in which all paths are finite;
each MΓ is a preorder with Γ as its minimum such that each pair of
elements has a least upper bound;
Mctx and all the MΓ form the ML-category (for Martin-Löf).
( 8 of 17 )
Inside pyramids
Each MΓ has the following structure:
Γ
π π π π
a
∈
a
∈
b
∈
b
∈A
∈
B
∈Ui
∈
Ui+1
Inside pyramids
Each MΓ has the following structure:
Γ
π π π π
a
∈
a
∈
b
∈
b
∈A
∈
B
∈Ui
∈
Ui+1
context
proper terms
proper types
universes
( 9 of 17 )
Interpretation
x : A,y : B,z : C ctx =
x : A
y : B
z : C
•ctx
x : Actx
x : A,y : Bctx
x : A,y : B,z : C ctx
in Mctx
Γ a : A = Γ a A
π ∈
in MΓ
Γ a ≡ b : A = Γ
a
b
A
π ∈
π ∈
i in MΓ
( 10 of 17 )
Variables
Variables have more than one role in dependent type theory:
they are hypotheses in the context;
they are terms in the language;
they are the only entities which may be substituted.
The first role is captured by interpreting contexts as objects in Mctx
and their way to be written down as path of irreducible arrows in the
same category.
The second role requires that there is an object in MΓ deputed to
interpret x.
The third role imposes a deeper structure on the ‘pyramids’ over Mctx.
( 11 of 17 )
Variables
Γ
x:A
A
Ui
π
∈
A
Ui
π
∈
x
π
∈
an irreducible arrow in Mctx induces a new term x in the pyramid
over the codomain;
Variables
Γ
x:A
A
Ui
π
∈
A
Ui
π
∈
x
π
∈
a
a
an irreducible arrow in Mctx induces a new term x in the pyramid
over the codomain;
a term a of type A in Γ is so also in the extended context;
Variables
Γ
x:A
A
Ui
π
∈
A
Ui
π
∈
x
π
∈
a
a
∼=
∼=
an irreducible arrow in Mctx induces a new term x in the pyramid
over the codomain;
a term a of type A in Γ is so also in the extended context;
substituting a in x, i.e., making them isomorphic and closing for
type generation, forces the pyramids to be equivalent.
( 12 of 17 )
Inductive types
An inductive type is the minimal collection of terms closed under the
interpretation of its introduction rules.
Semantically, this means an inductive type is the colimit of the
diagram composed by the terms-in-context which are the result of the
closure of the transformation associated to the introduction rules.
For example, the dependent sum has the following introduction rule:
Γ b : B[a/x] Γ a : A Γ,x : A B : Ui Γ A : Ui
Σ−I
Γ (a,b) : Σx : A.B
The associated semantic transformation θ maps each pair of objects
α and β in MΓ such that there are ∈: α → A Γ and ∈: β → B[a/x] Γ
in an object θ(α,β) of MΓ.
( 13 of 17 )
Inductive types
In general, the guiding principle is that the formation rule is used to
identify the space S of terms which is transformed to construct the
terms in the new inductive type. So, θ: S → MΓ.
The space S forms a category, and θ becomes a functor. As such, θ
has to be free, in one of the way to interpret this adjective in category
theory, to ensure that the construction is inductive.
The idea is that θ must be associated with T, the inductive theory as
a whole, not to each specific type. Then, MΓ is the minimal fix point
of the θ transformation in a category having enough terms to
interpret the context Γ in which every variable is a distinct term.
( 14 of 17 )
Inductive types
Difficult to express, but mathematically straightforward, this idea of
inductive theory allows to capture at once recursive types, mutual
recursive types, and even more esoteric beasts.
The formal framework had also a pleasant consequence: namely, all
the canonical types are inductive. So, the dependent sum Σ, the
dependent product Π, the coproduct +, the empty type 0, the unit
type 1, and equality in a type =A can be treated in the very same way
as natural numbers.
In fact, the non-inductive part of dependent type theory is reduced to
the structural rules (context formation, variables, judgemental
equality) and the rules about universes, which are structural in a
sense, because they are used to distinguish types.
( 15 of 17 )
The state of the art
We are in the process of writing down all of this. In this moment, we
have the definition of ML-category, a few of its properties, and the
definition of interpretation written down with all the details.
Inductive types are completely developed: however, only the syntactic
side has been polished. The semantics of them needs to be written
and checked once again.
We have the definition of syntactic category, the classification,
soundness and completeness theorem to polish: they have been
developed in all the details, but not yet written down in the proper
mathematical style.
We have a rough sketch of how everything should work on
higher-inductive types, but this is far from being a result, even with a
very optimistic view. . . not yet, at least!
( 16 of 17 )
The end
Questions?
( 17 of 17 )

More Related Content

PDF
Proof-Theoretic Semantics: Point-free meaninig of first-order systems
PDF
Point-free foundation of Mathematics
PDF
J79 1063
PDF
Build intuit
PDF
ESSLLI2016 DTS Lecture Day 5-2: Proof-theoretic Turn
PDF
Constructive Modalities
PDF
Negation in the Ecumenical System
PDF
Dialectica amongst friends
Proof-Theoretic Semantics: Point-free meaninig of first-order systems
Point-free foundation of Mathematics
J79 1063
Build intuit
ESSLLI2016 DTS Lecture Day 5-2: Proof-theoretic Turn
Constructive Modalities
Negation in the Ecumenical System
Dialectica amongst friends

What's hot (20)

PDF
Compact Monothetic C semirings
PPTX
An introduction to compositional models in distributional semantics
PDF
[Slfm 118] theory of relations roland fraisse (nh 1986)(t)
PDF
Logic paper
PDF
Conceptual Spaces for Cognitive Architectures: A Lingua Franca for Different ...
PDF
Constructive Modalities
PDF
Correspondence and Isomorphism Theorems for Intuitionistic fuzzy subgroups
PDF
Dialectica Comonads
PDF
A Dialectica Model of Relevant Type Theory
PDF
Completeness: From henkin's Proposition to Quantum Computer
PDF
June 22nd 2014: Seminar at JAIST
PPT
What is the category system
PPT
Syntax and semantics of propositional logic
PPTX
First order predicate logic(fopl)
PDF
A Nonstandard Study of Taylor Ser.Dev.-Abstract+ Intro. M.Sc. Thesis
PDF
[Emnlp] what is glo ve part i - towards data science
PPTX
First order predicate logic (fopl)
PDF
pres_coconat
PDF
Discrete Mathematics
Compact Monothetic C semirings
An introduction to compositional models in distributional semantics
[Slfm 118] theory of relations roland fraisse (nh 1986)(t)
Logic paper
Conceptual Spaces for Cognitive Architectures: A Lingua Franca for Different ...
Constructive Modalities
Correspondence and Isomorphism Theorems for Intuitionistic fuzzy subgroups
Dialectica Comonads
A Dialectica Model of Relevant Type Theory
Completeness: From henkin's Proposition to Quantum Computer
June 22nd 2014: Seminar at JAIST
What is the category system
Syntax and semantics of propositional logic
First order predicate logic(fopl)
A Nonstandard Study of Taylor Ser.Dev.-Abstract+ Intro. M.Sc. Thesis
[Emnlp] what is glo ve part i - towards data science
First order predicate logic (fopl)
pres_coconat
Discrete Mathematics
Ad

Similar to Point-free semantics of dependent type theories (20)

PDF
Extending the knowledge level of cognitive architectures with Conceptual Spac...
PDF
Commutative algebra
ODP
How to Ground A Language for Legal Discourse In a Prototypical Perceptual Sem...
PDF
A Formal Model of Metaphor in Frame Semantics
PDF
Constructive Modal and Linear Logics
PDF
Pretriangulated A Categories Yu Bespalov V Lyubashenko
PPTX
Lecture 2: From Semantics To Semantic-Oriented Applications
PPTX
Abstract algebra & its applications (1)
PPTX
Abstract algebra & its applications (1)
PPTX
Probabilistic models (part 1)
DOCX
Chapter 1 Logic and ProofPropositional Logic SemanticsPropo.docx
PDF
unit-3 First half..pdf nice ppt helps in ai intelligence
PDF
a logical approach to abstract algebra (apuntes).pdf
PDF
ON THE CATEGORY OF ORDERED TOPOLOGICAL MODULES OPTIMIZATION AND LAGRANGE’S PR...
PDF
Unit-4-Knowledge-representation.pdf
PDF
Reduction Monads and Their Signatures
PPTX
Temple Univeresity Digital Scholarship: Model of the Month Club: Modeling Con...
PDF
Dimension
PDF
22PCOAM11_IAI_Unit III Notes Full Notesmerged.pdf
PDF
Noncommutative Covering Spaces And Their Symmetries Phd Thesis Clarisson Rizz...
Extending the knowledge level of cognitive architectures with Conceptual Spac...
Commutative algebra
How to Ground A Language for Legal Discourse In a Prototypical Perceptual Sem...
A Formal Model of Metaphor in Frame Semantics
Constructive Modal and Linear Logics
Pretriangulated A Categories Yu Bespalov V Lyubashenko
Lecture 2: From Semantics To Semantic-Oriented Applications
Abstract algebra & its applications (1)
Abstract algebra & its applications (1)
Probabilistic models (part 1)
Chapter 1 Logic and ProofPropositional Logic SemanticsPropo.docx
unit-3 First half..pdf nice ppt helps in ai intelligence
a logical approach to abstract algebra (apuntes).pdf
ON THE CATEGORY OF ORDERED TOPOLOGICAL MODULES OPTIMIZATION AND LAGRANGE’S PR...
Unit-4-Knowledge-representation.pdf
Reduction Monads and Their Signatures
Temple Univeresity Digital Scholarship: Model of the Month Club: Modeling Con...
Dimension
22PCOAM11_IAI_Unit III Notes Full Notesmerged.pdf
Noncommutative Covering Spaces And Their Symmetries Phd Thesis Clarisson Rizz...
Ad

More from Marco Benini (19)

PDF
The Graph Minor Theorem: a walk on the wild side of graphs
PDF
Explaining the Kruskal Tree Theore
PDF
The Graph Minor Theorem: a walk on the wild side of graphs
PDF
Dealing with negative results
PDF
Variations on the Higman's Lemma
PDF
Dealing with negative results
PDF
Well Quasi Orders in a Categorical Setting
PDF
Fondazione point-free della matematica
PDF
Numerical Analysis and Epistemology of Information
PDF
L'occhio del biologo: elementi di fotografia
PDF
Constructive Adpositional Grammars, Formally
PDF
Marie Skłodowska Curie Intra-European Fellowship
PDF
Programming modulo representations
PDF
Algorithms and Their Explanations
PDF
Programming modulo representations
PDF
CORCON2014: Does programming really need data structures?
PDF
Fondazione point-free della matematica
PDF
Adgrams: Categories and Linguistics
PDF
Intuitionistic First-Order Logic: Categorical semantics via the Curry-Howard ...
The Graph Minor Theorem: a walk on the wild side of graphs
Explaining the Kruskal Tree Theore
The Graph Minor Theorem: a walk on the wild side of graphs
Dealing with negative results
Variations on the Higman's Lemma
Dealing with negative results
Well Quasi Orders in a Categorical Setting
Fondazione point-free della matematica
Numerical Analysis and Epistemology of Information
L'occhio del biologo: elementi di fotografia
Constructive Adpositional Grammars, Formally
Marie Skłodowska Curie Intra-European Fellowship
Programming modulo representations
Algorithms and Their Explanations
Programming modulo representations
CORCON2014: Does programming really need data structures?
Fondazione point-free della matematica
Adgrams: Categories and Linguistics
Intuitionistic First-Order Logic: Categorical semantics via the Curry-Howard ...

Recently uploaded (20)

PPT
veterinary parasitology ````````````.ppt
PPTX
TOTAL hIP ARTHROPLASTY Presentation.pptx
PPTX
Pharmacology of Autonomic nervous system
PPTX
perinatal infections 2-171220190027.pptx
PDF
The Land of Punt — A research by Dhani Irwanto
PDF
CHAPTER 3 Cell Structures and Their Functions Lecture Outline.pdf
PDF
Assessment of environmental effects of quarrying in Kitengela subcountyof Kaj...
PDF
ELS_Q1_Module-11_Formation-of-Rock-Layers_v2.pdf
PDF
Looking into the jet cone of the neutrino-associated very high-energy blazar ...
PDF
. Radiology Case Scenariosssssssssssssss
PPTX
Introcution to Microbes Burton's Biology for the Health
PDF
Biophysics 2.pdffffffffffffffffffffffffff
PDF
Unveiling a 36 billion solar mass black hole at the centre of the Cosmic Hors...
PDF
lecture 2026 of Sjogren's syndrome l .pdf
PPTX
BIOMOLECULES PPT........................
PDF
An interstellar mission to test astrophysical black holes
PDF
Phytochemical Investigation of Miliusa longipes.pdf
PDF
Cosmic Outliers: Low-spin Halos Explain the Abundance, Compactness, and Redsh...
PPTX
Introduction to Cardiovascular system_structure and functions-1
PDF
Lymphatic System MCQs & Practice Quiz – Functions, Organs, Nodes, Ducts
veterinary parasitology ````````````.ppt
TOTAL hIP ARTHROPLASTY Presentation.pptx
Pharmacology of Autonomic nervous system
perinatal infections 2-171220190027.pptx
The Land of Punt — A research by Dhani Irwanto
CHAPTER 3 Cell Structures and Their Functions Lecture Outline.pdf
Assessment of environmental effects of quarrying in Kitengela subcountyof Kaj...
ELS_Q1_Module-11_Formation-of-Rock-Layers_v2.pdf
Looking into the jet cone of the neutrino-associated very high-energy blazar ...
. Radiology Case Scenariosssssssssssssss
Introcution to Microbes Burton's Biology for the Health
Biophysics 2.pdffffffffffffffffffffffffff
Unveiling a 36 billion solar mass black hole at the centre of the Cosmic Hors...
lecture 2026 of Sjogren's syndrome l .pdf
BIOMOLECULES PPT........................
An interstellar mission to test astrophysical black holes
Phytochemical Investigation of Miliusa longipes.pdf
Cosmic Outliers: Low-spin Halos Explain the Abundance, Compactness, and Redsh...
Introduction to Cardiovascular system_structure and functions-1
Lymphatic System MCQs & Practice Quiz – Functions, Organs, Nodes, Ducts

Point-free semantics of dependent type theories

  • 1. Point-free semantics of dependent type theories M Benini, R Bonacina Università degli Studi dell’Insubria University of Canterbury, December 4th, 2017
  • 2. Why Also known as constructive type theory, or Martin-Löf type theory, dependent type theory has recently seen a huge raise of interest because it is the basis for homotopy type theory. Semantics for dependent type theories are known: they are variations on the semantics of typed λ-calculi. Usually, they are complex: they are either based on the advanced theory of orders (specialised domains), or on category theory; in the case of categorical models, they use non-elementary constructions (fibrations, higher-order cells, . . . ); homotopy type theory has an intended semantics based on ∞-groupoids; the only categorical semantics (Seely) which does not use those advanced constructions, contains a problem (i.e., it does not work). Locally Cartesian closed categories are not enough to properly model dependent type theory (Hoffman, Dybjer). ( 2 of 17 )
  • 3. Why Why are complex, higher-order models needed? Are they, really? These were the initial questions that have been addressed in Roberta’s master thesis. The answer was that there is no need for such complex constructions: a categorical model, using no higher-order constructions, suffices to provide a sound and complete explanation to dependent type theory. However, the result was not completely satisfactory because the notion of inductive theory was sketched but not precisely defined in all the details; some passages in the soundness and completeness proofs were reasonable but not formal; in the overall, there was the feeling that the result had to be polished to reach its maximal generality. ( 3 of 17 )
  • 4. What So, the visit here, at the University of Canterbury had the purpose to precisely define the syntactic notion of inductive theory, and pave the way toward its extension to higher-inductive types, as defined in homotopy type theory; polish the semantics and fix all the passages in the soundness and completeness proofs. In short, we did it! In the following, I am going to give a glance to the semantics. ( 4 of 17 )
  • 5. Point-free semantics Consider the following inductive types: the 0 type, which is characterised as the type having no terms; the N− , which is characterised by the rule having the inductive step n : N− → succ(n) : N− but not the basic step 0 : N− . Usually, these two types are considered equivalent because they have no terms belonging to them: the minimal fix point of their constructing rules is the same. However, they can be distinguished: if x : 0 and y : N− stand for some objects in the types 0 and N− , it is evident that no object other than x is forced to be in 0, while succ(y), succ(succ(y)), ... are all in N− . We want a semantics in which the meaning of a type depends on the context in which it is defined, so to be able to distinguish 0 from N− . ( 5 of 17 )
  • 6. Point-free semantics The semantics is then point-free: types and their terms do not identify entities (“points”) in some universe. They explain how judgements are kept together by the logical inferences. And they do so by taking local values, which change under different assumptions. So N− is not equivalent to the 0 type: they are the same thing in the empty context, while they differ in a context in which we assume both types contain at least one term. ( 6 of 17 )
  • 7. The big picture The semantics is based on category theory. An inductive theory, i.e., a series of inductive types defined in the standard dependent type theory, has models in the class of ML-categories. These categories allow to interpret dependent type theory and inductive types in a natural way. A category which makes valid all the judgements of an inductive theory is a model, and it has holds that every inductive theory has a model (Soundness); every judgement which is valid in any model of an inductive theory is derivable (Completeness); for every inductive theory there is a model which is contained in every other model (Classification). ( 7 of 17 )
  • 8. The big picture Mctx Γ MΓ ∆ M∆ • M• Mctx is a partial order with minimum • in which all paths are finite; each MΓ is a preorder with Γ as its minimum such that each pair of elements has a least upper bound; Mctx and all the MΓ form the ML-category (for Martin-Löf). ( 8 of 17 )
  • 9. Inside pyramids Each MΓ has the following structure: Γ π π π π a ∈ a ∈ b ∈ b ∈A ∈ B ∈Ui ∈ Ui+1
  • 10. Inside pyramids Each MΓ has the following structure: Γ π π π π a ∈ a ∈ b ∈ b ∈A ∈ B ∈Ui ∈ Ui+1 context proper terms proper types universes ( 9 of 17 )
  • 11. Interpretation x : A,y : B,z : C ctx = x : A y : B z : C •ctx x : Actx x : A,y : Bctx x : A,y : B,z : C ctx in Mctx Γ a : A = Γ a A π ∈ in MΓ Γ a ≡ b : A = Γ a b A π ∈ π ∈ i in MΓ ( 10 of 17 )
  • 12. Variables Variables have more than one role in dependent type theory: they are hypotheses in the context; they are terms in the language; they are the only entities which may be substituted. The first role is captured by interpreting contexts as objects in Mctx and their way to be written down as path of irreducible arrows in the same category. The second role requires that there is an object in MΓ deputed to interpret x. The third role imposes a deeper structure on the ‘pyramids’ over Mctx. ( 11 of 17 )
  • 13. Variables Γ x:A A Ui π ∈ A Ui π ∈ x π ∈ an irreducible arrow in Mctx induces a new term x in the pyramid over the codomain;
  • 14. Variables Γ x:A A Ui π ∈ A Ui π ∈ x π ∈ a a an irreducible arrow in Mctx induces a new term x in the pyramid over the codomain; a term a of type A in Γ is so also in the extended context;
  • 15. Variables Γ x:A A Ui π ∈ A Ui π ∈ x π ∈ a a ∼= ∼= an irreducible arrow in Mctx induces a new term x in the pyramid over the codomain; a term a of type A in Γ is so also in the extended context; substituting a in x, i.e., making them isomorphic and closing for type generation, forces the pyramids to be equivalent. ( 12 of 17 )
  • 16. Inductive types An inductive type is the minimal collection of terms closed under the interpretation of its introduction rules. Semantically, this means an inductive type is the colimit of the diagram composed by the terms-in-context which are the result of the closure of the transformation associated to the introduction rules. For example, the dependent sum has the following introduction rule: Γ b : B[a/x] Γ a : A Γ,x : A B : Ui Γ A : Ui Σ−I Γ (a,b) : Σx : A.B The associated semantic transformation θ maps each pair of objects α and β in MΓ such that there are ∈: α → A Γ and ∈: β → B[a/x] Γ in an object θ(α,β) of MΓ. ( 13 of 17 )
  • 17. Inductive types In general, the guiding principle is that the formation rule is used to identify the space S of terms which is transformed to construct the terms in the new inductive type. So, θ: S → MΓ. The space S forms a category, and θ becomes a functor. As such, θ has to be free, in one of the way to interpret this adjective in category theory, to ensure that the construction is inductive. The idea is that θ must be associated with T, the inductive theory as a whole, not to each specific type. Then, MΓ is the minimal fix point of the θ transformation in a category having enough terms to interpret the context Γ in which every variable is a distinct term. ( 14 of 17 )
  • 18. Inductive types Difficult to express, but mathematically straightforward, this idea of inductive theory allows to capture at once recursive types, mutual recursive types, and even more esoteric beasts. The formal framework had also a pleasant consequence: namely, all the canonical types are inductive. So, the dependent sum Σ, the dependent product Π, the coproduct +, the empty type 0, the unit type 1, and equality in a type =A can be treated in the very same way as natural numbers. In fact, the non-inductive part of dependent type theory is reduced to the structural rules (context formation, variables, judgemental equality) and the rules about universes, which are structural in a sense, because they are used to distinguish types. ( 15 of 17 )
  • 19. The state of the art We are in the process of writing down all of this. In this moment, we have the definition of ML-category, a few of its properties, and the definition of interpretation written down with all the details. Inductive types are completely developed: however, only the syntactic side has been polished. The semantics of them needs to be written and checked once again. We have the definition of syntactic category, the classification, soundness and completeness theorem to polish: they have been developed in all the details, but not yet written down in the proper mathematical style. We have a rough sketch of how everything should work on higher-inductive types, but this is far from being a result, even with a very optimistic view. . . not yet, at least! ( 16 of 17 )