string Name =
"Buffalo"
;
bool IsActive =
true
;
int Count =
42
;
Represent raw values translated to NativeValuePrototypes
Familiar syntax for C# developers
Prototype Types (Uppercase)
System.String Name =
"Buffalo"
;
System.Boolean IsActive =
true
;
System.Int32 Count =
42
;
Structured nodes with metadata for explicit Prototype integration]
Enable rich graph operations with C# type safety
prototype City {
string Name =
""
;
function
FormatName
(
) :
string
{
return
String
.Format(
"City: {0}"
, Name);
}
}
What's Happening:
Runtime converts
string["Buffalo"]
to C# string
Processes
String.Format
call
Returns
string["City: Buffalo"]
as ProtoScript node
string["hello"]
becomes C#
string
List<string>
maps to ProtoScript
Collection
prototype State {
string Name =
""
;
Collection Cities =
new
Collection();
function
GetCityCount
(
) :
int
{
return
Cities.Count;
// Maps to List<T>.Count
}
}
prototype NewYork_State : State {
Name =
"New York"
;
}
NewYork_State.Cities.Add(NewYork_City);
int count = NewYork_State.GetCityCount();
// Returns 1
Integration Benefits:
prototype CityList {
Collection CityNames =
new
Collection();
function
AddCitiesFromCSharp
(
List<string> csharpList
) :
CityList
{
foreach (string city
in
csharpList) {
CityNames.Add(city);
}
return
this
;
}
}
// External C# data
List<string> csharpCities =
new
List<string> {
"Buffalo"
,
"Albany"
};
CityList_Example.AddCitiesFromCSharp(csharpCities);
Integration Benefits:
List<string>
to ProtoScript iteration
string
NativeValuePrototype
[TransferFunction(NL)]
function
Query_To_CSharpMethod
(
Query query
) :
string
{
if
(query.Question ==
"Who lives in Springfield?"
) {
Collection names =
new
Collection();
foreach (Person p
in
AllPersons) {
if
(p.Location.Name ==
"Simpsons House"
) {
names.Add(p.Name);
}
}
return
String
.Join(
", "
, names.ToArray());
}
return
""
;
}
Cross-Domain Power:
// HCP for int i = 0 after Parameterization
prototype TestNamespace_5E0C7570A1C2276F8E9ECEE135323F87 {
string
.0
=
"i"
;
// Variable name
CSharp_Expression
.1
= IntegerLiteral_0;
// Initializer
}
Key Benefits:
SimpsonsHouseParent
)
Example: C# Variable Declaration Tree
a_variable
├── an_initialized_variable
│ ├── an_initialized_string_variable
│ │ ├── string s1 =
""
│ │ ├── string s2 =
"hello world"
│ │ └── string name =
"Alice"
│ └── an_initialized_integer_variable
│ ├── int i =
0
│ ├── int j = -
1
│ └── int counter =
42
└── an_uninitialized_variable
Dynamic Benefits:
Current single-channel clustering can be enhanced by adding contextual feedback:
Traditional Approach:
Dual-Channel Enhancement:
prototype Homer : Person {
Name =
"Homer Simpson"
;
Gender =
"Male"
;
Location = SimpsonsHouse;
Narrative_Role =
"FamilyMember"
;
// Secondary channel
}
// Scoring Results:
// SimpsonsHouseParent: High score (both Homer and Marge are "FamilyMember")
// SimpsonsMale: Low score (mixed roles: "FamilyMember" vs "Neighbor")
Revolutionary Impact:
Current single-channel clustering can be enhanced by adding contextual feedback:
Traditional Approach:
Dual-Channel Enhancement:
prototype Homer : Person {
Name =
"Homer Simpson"
;
Gender =
"Male"
;
Location = SimpsonsHouse;
Narrative_Role =
"FamilyMember"
;
// Secondary channel
}
// Scoring Results:
// SimpsonsHouseParent: High score (both Homer and Marge are "FamilyMember")
// SimpsonsMale: Low score (mixed roles: "FamilyMember" vs "Neighbor")
Revolutionary Impact:
ProtoScript handles complex computational tasks like binary addition, showcasing its universal computational framework potential.
Binary Addition Example: 11 + 10 = 101
prototype AdditionState {
Collection SumBits =
new
Collection();
int Carry =
0
;
function
ComputeBit
(
Bit bit1, Bit bit2
) :
Bit
{
int sum = bit1.Value + bit2.Value + Carry;
SumBits.Add(
new
Bit { Value = sum %
2
});
Carry = sum /
2
;
return
SumBits[SumBits.Count -
1
];
}
}
function
AddBinary
(
BinaryNumber num1, BinaryNumber num2
) :
BinaryNumber
{
AdditionState state =
new
AdditionState();
// Process bits right-to-left with carry logic
// Result: 11 + 10 = 101
}
Computational Significance:
ProtoScript handles both constrained and underconstrained relationship mappings.
// NL "true" → C# bool true (exact mapping)
if
(nl.Value ==
"true"
) {
cs.Initializer =
"true"
;
// Precise transformation
}
Underconstrained Relationships (One-to-Many)
// NL "integer" → int, long, short, uint (ambiguous)
if
(nl.Type ==
"integer"
) {
cs.Type =
"int"
;
// Default choice with context resolution
}
Resolution Strategies:
ProtoScript's operations align with established graph theory and computer science concepts:
Develop runtime support for secondary channels with integrated feedback mechanisms:
Address combinatorial challenges in learning Transformation Functions:
Explore combinations of ProtoScript's symbolic reasoning with neural components:
[TransferFunction(NL)]
function
MedicalQuery_To_SQL
(
Medical_Query query
) :
SQL_Query
{
if
(query.QueryText ==
"Find patients with diabetes"
&&
query.Context ==
"Hospital"
) {
sql.TableName =
"Patients"
;
sql.Conditions =
"Condition = 'Diabetes'"
;
}
return
sql;
}
Target Domains:
Example: Learning Negation Function
// Observed Input-Output Pair:
// Input: int[1] → Output: int[-1]
// Learned Function:
prototype Integer {
int Value =
0
;
function
Negation
(
) :
Integer
{
return
new
Integer { Value = -
this
.Value };
}
}
Unlike gradient descent approaches requiring:
// Begin with familiar C# primitive mapping
prototype Entity {
string Name =
""
;
bool IsActive =
true
;
int Priority =
0
;
}
// Use Collection for familiar List<T> operations
prototype Container {
Collection Items =
new
Collection();
function
GetCount
(
) :
int
{
return
Items.Count;
// Direct C# API access
}
}
3. Build Transformation Functions Incrementally
// Start with constrained (one-to-one) mappings
[TransferFunction(Domain)]
function
SimpleMapping
(
Input input
) :
Output
{
Output result =
new
Output();
result.Property = input.Property;
// Direct mapping
return
result;
}
4. Plan for Underconstrained Cases
// Handle ambiguous mappings with defaults and context
function
HandleAmbiguity
(
Input input
) :
Output
{
if
(input.Type ==
"ambiguous_value"
) {
return
DefaultChoice();
// With contextual refinement
}
return
PreciseMapping(input);
}
ProtoScript's integration capabilities and advanced features position it as a revolutionary platform for:
vs. Traditional Ontologies:
vs. Neural Networks:
ProtoScript empowers developers to: