The Knowledge Representation Library.

### Introduction

The library provides facilities for storing, accumulating, and computing knowledge. The knowledge could be represented indirectly, in the Knowledge Base, or directly as knowledge values. The library focuses on representing knowledge that is partial and provides mechanisms for knowledge accumulation and refinement. The knowledge representation library leverages the powerful type system of the OCaml language to facilitate development of complex knowledge representation and reasoning systems.

### Knowledge Taxonomy

For a given knowledge system, the domain of discourse is a set of objects, optionally partitioned into sorts. Therefore, an *object* is fundamental building block of a knowledge system.

An object *class* defines a set of possible properties of that objects. A snapshot of all properties of an object is called *value*. A set of values belonging to a particular class could be partitioned into sorts, to facilitate the design of strongly typed interfaces.

Properties of objects and values are stored in *slots*. The data type of any property is required to be an instance of the *domain* structure, i.e., it should be a set with a special `empty`

value and the `order`

operation, that orders elements of this set by their informational content, so that `empty`

is the least element.

The knowledge could be represented directly as a value, or indirectly as a set of objects in a knowledge base.

### Values

A value is an ordered tuple of slots that holds all properties of an object with which this value is associated. Additionally, a value is attributed with a sort value, which is shared by all values belonging to that sort. The sort value could be a concrete value, holding some information that is common for all elements of the sort or it could be just a type index that witnesses that the value belongs to a certain set of values.

Properties of a value could be accessed using the `Value.get`

operator. A new value of a property could be put into the slot using the `Value.put`

operator.

Values are instances of the domain type class and therefore a property of an object or another value could also be a value.

The set of slots of a given value is defined by its class, and this set is extensible, i.e., it is possible to add more slots.

### Knowledge Base

The knowledge base maintains a consistent set of facts about object properties. An object is a unit of identity. The value of an object is defined by its properties. However, the knowledge base doesn't provide the direct access to the object value.

Object properties could be accessed using the `collect`

operator and set using the `provide`

operator. The knowledge base maintains the consistency by disallowing changing an object property to a value that has less informational contents than the previous value, so that no information is never lost.

Object properties could also be computed on demand using the `promise`

operator, which effectively stores a procedure in the knowledge base. Several procedures could be provided for a property computation, and the procedures themselves could access other properties, including the property being computed. The knowledge base will ensure that the least fixed point of all procedures involved in the property computation is reached.

All Knowledge Base operators return a computation of type `'a knowledge`

which is a monad, that denotes a computation that is knowledge dependent, i.e., it either accesses the knowledge base, or modifies it, or both.

The knowledge computation may lead to an inconsistent state, in other words, it is not guaranteed that the computation will reach the normal form. A diverging computation will yield a value of type `conflict`

when run.

To prevent unnecessary conflicts, it is possible to represent object properties as opinions instead of facts. Opinions are facts that are attributed with the name of an agent that provided this fact. In case if mutiple agents provide conflicting opinions, the `resolve`

operator will compute the consensus, based on agents predefined trustworthiness. Opinions are introduced using the `suggest`

operator or promised using the `propose`

operator.

Finally, the knowledge base is partially persistent. It is possible to make some slots persistent, so that properties, stored in them are preserved between program runs.

a value of class `'c = ('k,'s) cls`

a slot holding a property `'p`

of a class `'k`

object.

an instance of the domain type class

an instance of the persistance type class

a set of possible conflicts

an opinion based fact of type `'a`

`val collect : ('a, 'p) slot -> 'a obj -> 'p t`

`collect p x`

collects the value of the property `p`

.

If the object `x`

doesn't have a value for the property `p`

and there are promises registered in the knowledge system, to compute the property `p`

then they will be invoked, otherwise the empty value of the property domain is returned as the result.

`resolve p x`

resolves the multi-opinion property `p`

Finds a common resolution for the property `p`

using the current resolution strategy.

This function is the same as `collect`

except it collects a value from the opinions domain and computes the current consensus.

`val provide : ('a, 'p) slot -> 'a obj -> 'p -> unit t`

`provide p x v`

provides the value `v`

for the property `p`

.

If the object `x`

already had a value `v'`

then the provided value `v`

then the result value of `p`

is `join v v'`

provided such exists, where `join`

is `Domain.join (Slot.domain p)`

.

If `join v v'`

doesn't exist (i.e., it is `Error conflict`

) then `provide p x v`

diverges into a conflict.

`suggest a p x v`

suggests `v`

as the value for the property `p`

.

The same as `provide`

except the provided value is predicated by the agent identity.

`val promise : ('a, 'p) slot -> ('a obj -> 'p t) -> unit`

`promise p f`

promises to compute the property `p`

.

If no knowledge exists about the property `p`

of an object `x`

, then `f x`

is invoked to provide an initial value.

If there are more than one promises, then they all must provide a consistent answer. The function `f`

may refer to the property `p`

directly or indirectly. In that case the least fixed point solution of all functions `g`

involved in the property computation is computed.

`propose p f`

proposes the opinion computation.

The same as `promise`

except that it promises a value for an opinion based property.

`of_bigstring data`

loads state from `data`

`to_bigstring state`

serializes state into a binary representation.

`val pp_state : Stdlib.Format.formatter -> state -> unit`

prints the state of the knowledge base.

`run cls comp init`

computes the value of the object `obj`

given

Evaluates the knowledge dependent computation `comp`

using the initial set of facts `init`

.

The computation must evaluate to an object `p`

of the class `cls`

. The `run`

function computes all properties of `p`

, which will trigger all promises associated with the slots.

The result of evaluation is either a conflict, or a pair of value, which contains all properties of the object, and the knowledge accumulated during the computation.

`include Monads.Std.Monad.S with type 'a t := 'a t and module Syntax := Syntax`

`val void : 'a t -> unit t`

`void m`

computes `m`

and discrards the result.

`val sequence : unit t list -> unit t`

`sequence xs`

computes a sequence of computations `xs`

in the left to right order.

`val forever : 'a t -> 'b t`

`forever xs`

creates a computationt that never returns.

Various function combinators lifted into the Kleisli category.

`module Pair : sig ... end`

The pair interface lifted into the monad.

The triple interface lifted into a monad.

`module Lift : sig ... end`

Lifts functions into the monad.

Interacting between monads and language exceptions

Lifts collection interface into the monad.

The Monad.Collection.S interface for lists

The Monad.Collection.S interface for sequences

`include Monads.Std.Monad.Syntax.S with type 'a t := 'a t`

`val (>=>) : ('a -> 'b t) -> ('b -> 'c t) -> 'a -> 'c t`

`f >=> g`

is `fun x -> f x >>= g`

`val (!$) : ('a -> 'b) -> 'a t -> 'b t`

`val (!$$) : ('a -> 'b -> 'c) -> 'a t -> 'b t -> 'c t`

`val (!$$$) : ('a -> 'b -> 'c -> 'd) -> 'a t -> 'b t -> 'c t -> 'd t`

```
val (!$$$$) :
('a -> 'b -> 'c -> 'd -> 'e) ->
'a t ->
'b t ->
'c t ->
'd t ->
'e t
```

`!$$$$f`

is `Lift.quaternary f`

```
val (!$$$$$) :
('a -> 'b -> 'c -> 'd -> 'e -> 'f) ->
'a t ->
'b t ->
'c t ->
'd t ->
'e t ->
'f t
```

`!$$$$$f`

is `Lift.quinary f`

`include Core_kernel.Monad.S with type 'a t := 'a t`

`val (>>=) : 'a t -> ('a -> 'b t) -> 'b t`

`t >>= f`

returns a computation that sequences the computations represented by two monad elements. The resulting computation first does `t`

to yield a value `v`

, and then runs the computation returned by `f v`

.

`val (>>|) : 'a t -> ('a -> 'b) -> 'b t`

`t >>| f`

is `t >>= (fun a -> return (f a))`

.

`val bind : 'a t -> f:('a -> 'b t) -> 'b t`

`return v`

returns the (trivial) computation that returns v.

`val map : 'a t -> f:('a -> 'b) -> 'b t`

`val join : 'a t t -> 'a t`

`join t`

is `t >>= (fun t' -> t')`

.

`val ignore_m : 'a t -> unit t`

`ignore_m t`

is `map t ~f:(fun _ -> ())`

. `ignore_m`

used to be called `ignore`

, but we decided that was a bad name, because it shadowed the widely used `Caml.ignore`

. Some monads still do `let ignore = ignore_m`

for historical reasons.

`val all : 'a t list -> 'a list t`

`val all_unit : unit t list -> unit t`

Like `all`

, but ensures that every monadic value in the list produces a unit value, all of which are discarded rather than being collected into a list.

`val all_ignore : unit t list -> unit t`

These are convenient to have in scope when programming with a monad:

```
include Monads.Std.Monad.Fail.S
with type 'a t := 'a t
and type 'a error = conflict
```

`fail err`

diverges the computation, possibly providing an extra information in a value of type `_ error`

.

`val catch : 'a t -> (_ error -> 'a t) -> 'a t`

`catch m f`

if `m`

diverges with some bottom value `err`

, the `f err`

is a result of the whole computation, otherwise returns `m`

.

`module Order : sig ... end`

Orders knowledge by its information content.

`module Class : sig ... end`

Class is a collection of sorts.

`module Value : sig ... end`

`module Slot : sig ... end`

A symbol is an object with a unique name.

`module Agent : sig ... end`

`module Domain : sig ... end`

Partially ordered sets with the least element.

`module Name : sig ... end`

the s-expression denoting the conflict.

Online Knowledge documentation.