AcquiredLang

Emulate
Human Intelligence
in machines.
‍Deterministically!

A new computer language for
artificial comprehension and
programming human like
conversations.

COMING SOON !

THE CHALLENGE

The profound intricacies of human language and intelligence continue to elude its comprehensive replication on machines.

The two main approaches to emulate human intelligence on machines so far are - Symbolic AI and ML-based AI.

Symbolic AI

Rule-based, formal logic-driven, knowledge representation.

Symbolic AI systems relied on formal logic and rule-based representations, which lead to rigidity and struggled with the complexity and ambiguity of natural languages.

ML-based AI

Deep-learning based, data-driven, statistical models.

Ml-based models learn patterns from data without explicit knowledge representation, resulting in challenges with generalization and reasoning about abstract concepts.

If a machine does not have a model of reality, you cannot expect the machine to behave intelligently in that reality.
~ Judea Pearl

OUR INSPIRATION: THE NATURAL QUESTION

What is it about the natural languages, that is able to express reality (better than ML-based approaches) and reason about it (better than symbolic approach)?

AcquiredLang is the culmination of seven years of deep-tech research inspired by the above question.

OUR RESEARCH: A NOVEL APPROACH

Guided by the above question, our research led to a new paradigm and a new system of logic, that form the core of AcquiredLang.

Verb Centrism

A NOVEL PARADIGM

A new way to model the world, not in terms of objects, functions or procedures, but in terms of verbs.
‍
Model the world as an evolving network of verbs

Linguistic Logic

A NOVEL LOGIC

A set of fundamental principles of how humans comprehend language and use it to reason.

Logical framework that operates on meanings of words, in contrast to mathematical objects.

Supported by Human Language like Syntax

The syntax of AcquiredLang is a subset of English language, with added punctuation, to remove its inherent ambiguity.

A computer language should not just be concerned with what a machine can do, but also as much with – what a man can think.
~ Edsger W. Dijkstra

BENEFITS: A WORLD OF NEW
POSSIBILITIES

Radically Enhanced Expressivity

PARADIGM & ABSTRACTIONS

Natural language like syntax, abstractions mirroring human thoughts.

Common-Sense reasoning

LOGIC & INFERENCE

Logically integrates query, inference and explainability to uncover subjective truths.

Conversation Programming

CONTEXT BASED, HUMAN-LIKE

Programming software agents capable of engaging end-users in an intelligent conversation.

EMPOWERING DIVERSE MINDS

With a human language like syntax and abstractions mirroring human thoughts, AcquiredLang offers new capabilities to a diverse array of tech professionals.

Developer

gets a new programming language.

Data Scientist

gets a framework to tag semantics to data

Product Manager

gets a tool for domain & application specification

AI Researcher

gets new formalisms for dealing with "meaning", other than formalisms of ML

The purpose of computing is insight, not numbers.
‍~ Richard Hamming