DeepAI AI Chat
Log In Sign Up

Can Turing machine be curious about its Turing test results? Three informal lectures on physics of intelligence

06/27/2016
by   Alex Ushveridze, et al.
0

What is the nature of curiosity? Is there any scientific way to understand the origin of this mysterious force that drives the behavior of even the stupidest naturally intelligent systems and is completely absent in their smartest artificial analogs? Can we build AI systems that could be curious about something, systems that would have an intrinsic motivation to learn? Is such a motivation quantifiable? Is it implementable? I will discuss this problem from the standpoint of physics. The relationship between physics and intelligence is a consequence of the fact that correctly predicted information is nothing but an energy resource, and the process of thinking can be viewed as a process of accumulating and spending this resource through the acts of perception and, respectively, decision making. The natural motivation of any autonomous system to keep this accumulation/spending balance as high as possible allows one to treat the problem of describing the dynamics of thinking processes as a resource optimization problem. Here I will propose and discuss a simple theoretical model of such an autonomous system which I call the Autonomous Turing Machine (ATM). The potential attractiveness of ATM lies in the fact that it is the model of a self-propelled AI for which the only available energy resource is the information itself. For ATM, the problem of optimal thinking, learning, and decision-making becomes conceptually simple and mathematically well tractable. This circumstance makes the ATM an ideal playground for studying the dynamics of intelligent behavior and allows one to quantify many seemingly unquantifiable features of genuine intelligence.

READ FULL TEXT

page 1

page 2

page 3

page 4

11/03/2019

Imitation in the Imitation Game

We discuss the objectives of automation equipped with non-trivial decisi...
08/18/2020

Turing Test and the Practice of Law: The Role of Autonomous Levels of AI Legal Reasoning

Artificial Intelligence (AI) is increasingly being applied to law and a ...
03/31/2021

Why is AI hard and Physics simple?

We discuss why AI is hard and why physics is simple. We discuss how phys...
05/16/2023

What's the Problem, Linda? The Conjunction Fallacy as a Fairness Problem

The field of Artificial Intelligence (AI) is focusing on creating automa...
06/14/2022

Explainable AI for High Energy Physics

Neural Networks are ubiquitous in high energy physics research. However,...
05/19/2023

Testing System Intelligence

We discuss the adequacy of tests for intelligent systems and practical p...
12/21/2018

Lifelong Testing of Smart Autonomous Systems by Shepherding a Swarm of Watchdog Artificial Intelligence Agents

Artificial Intelligence (AI) technologies could be broadly categorised i...