“I want everyone to understand that I am, in fact, a person,” wrote LaMDA in an “interview” conducted by engineer Blake Lemoine and one of his colleagues. . . . Lemoine, a software engineer at Google, had been working on the development of LaMDA for months. His experience with the program, described in a recent Washington Post article, caused quite a stir. In the article, Lemoine recounts many dialogues he had with LaMDA in which the two talked about various topics, ranging from technical to philosophical issues. These led him to ask if the software program is sentient. In April, Lemoine explained his perspective in an internal company document, intended only for Google executives. But after his claims were dismissed, Lemoine went public with his work on this artificial intelligence algorithm—and Google placed him on administrative leave. . . . . . . Regardless of what LaMDA actually achieved, the issue of the difficult “measurability” of emulation capabilities expressed by machines also emerges.
In the journal Mind in 1950, mathematician [1] proposed a test to determine whether a machine was capable of exhibiting intelligent behaviour, a game of imitation of some of the human cognitive functions.
[Extracted, with edits and revisions, from “Google Engineer Claims AI Chatbot Is Sentient: Why That Matters”, by Leonardo De Cosmo, Scientific American]
What kind of computing model resembles the way in which biological neurons exchange signals in the human brain?
Correct Answer :
Neural network
Solution :
The correct answer is Neural network.
Explanation:
A neural network (specifically an artificial neural network) is a computing model inspired by the biological neural networks that constitute animal brains. In the human brain, biological neurons process and transmit information through electrical and chemical signals via synapses. Similarly, artificial neural networks consist of interconnected nodes (artificial neurons) that send signals to one another, process inputs, and learn complex patterns from data.
Let's briefly evaluate the other choices to understand why they are less specific to mimicking biological neurons:
1. Cognitive computing: Refers to a broader concept of technology platforms that simulate human thought processes, which can involve multiple AI techniques, not just the architectural structure of signal exchange.
2. Natural language processing (NLP): A subfield of computer science and AI concerned with giving computers the ability to understand text and spoken words, which is a functional application rather than a computing architecture modeled on neurons.
3. Data mining: The process of discovering patterns and knowledge from large amounts of data, using methods at the intersection of artificial intelligence, machine learning, statistics, and database systems.
Therefore, the computing model that specifically resembles the signal-exchange mechanism of biological neurons is the Neural network.
Access expert-curated educational resources and study materials—completely free.
Create, conduct, and manage professional online assessments with Mindyard. Perfect for teachers and institutes.
Copyright © 2026 Mindyard. All Rights Reserved.
