Until now odd and even categorization, also called parity classification, had never been shown in non-human animals. In a new study, published Friday in the journal Frontiers in Ecology and Evolution, we show honeybees can learn to do this.
Why is parity categorization special?
Parity tasks (such as odd and even categorization) are considered abstract and high-level numerical concepts in humans.
Interestingly, humans demonstrate accuracy, speed, language, and spatial relationship biases when categorizing numbers as odd or even.
For example, we tend to respond faster to even numbers with actions performed by our right hand, and to odd numbers with actions performed by our left hand.
We are also faster, and more accurate, when categorizing numbers as even compared to odd. And research has found children typically associate the word “even” with “right” and “odd” with “left”.
These studies suggest humans may have learned biases and/or innate biases regarding odd and even numbers, which may have arisen either through evolution, cultural transmission, or a combination of both.
It isn’t obvious why parity might be important beyond its use in mathematics, so the origins of these biases remain unclear.
Understanding if and how other animals can recognize (or can learn to recognize) odd and even numbers could tell us more about our own history with parity.
Training bees to learn odd and even
Studies have shown honeybees can learn to order quantities, perform simple addition and subtraction, match symbols with quantities and relate size and number concepts.
To teach bees a parity task, we separated individuals into two groups. One was trained to associate even numbers with sugar water and odd numbers with a bitter-tasting liquid (quinine). The other group was trained to associate odd numbers with sugar water, and even numbers with quinine.
We trained individual bees using comparisons of odd versus even numbers (with cards presenting 1-10 printed shapes) until they chose the correct answer with 80 percent accuracy.
Remarkably, the respective groups learned at different rates.
The bees trained to associate odd numbers with sugar water learned quicker.
Their learning bias towards odd numbers was the opposite of humans, who categorize even numbers more quickly.
We then tested each bee on new numbers not shown during the training. Impressively, they categorized the new numbers of 11 or 12 elements as odd or even with an accuracy of about 70 percent.
Our results showed the miniature brains of honeybees were able to understand the concepts of odd and even.
So a large and complex human brain consisting of 86 billion neurons, and a miniature insect brain with about 960,000 neurons, could both categorize numbers by parity.
Does this mean the parity task was less complex than we’d previously thought? To find the answer, we turned to bio-inspired technology.
Creating a simple artificial neural network
Artificial neural networks were one of the first learning algorithms developed for machine learning. Inspired by biological neurons, these networks are scalable and can tackle complex recognition and classification tasks using propositional logic.
We constructed a simple artificial neural network with just five neurons to perform a parity test.
We gave the network signals between 0 and 40 pulses, which it classified as either odd or even. Despite its simplicity, the neural network correctly categorized the pulse numbers as odd or even with 100 percent accuracy.
This showed us that in principle parity categorization does not require a large and complex brain such as a human’s.
However, this doesn’t necessarily mean the bees and the simple neural network used the same mechanism to solve the task.
Simple or complex?
We don’t yet know how the bees were able to perform the parity task. Explanations may include simple or complex processes. For example, the bees may have:
- paired elements to find an unpaired element
- performed division calculations – although division has not been previously demonstrated by bees
- counted each element and then applied the odd/even categorization rule to the total quantity.
By teaching other animal species to discriminate between odd and even numbers, and perform other abstract mathematics, we can learn more about how maths and abstract thought emerged in humans.
Is discovering maths an inevitable consequence of intelligence? Or is maths somehow linked to the human brain? Are the differences between humans and other animals less than we previously thought?
Perhaps we can glean these intellectual insights, if only we listen properly.
Scarlett Howard, Lecturer, Monash University; Adrian Dyer, Associate Professor, RMIT University; Andrew Greentree, Professor of Quantum Physics and Australian Research Council Future Fellow, RMIT University, and Jair Garcia, Research fellow, RMIT University.
Scarlett Howard -Lecturer, Monash University
Adrian Dyer -Associate Professor, RMIT University
Andrew Greentree -Professor of Quantum Physics and Australian Research Council Future Fellow, RMIT University
Jair Garcia -Research fellow, RMIT University