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Instinct to insight: a variation-based framework to test hypotheses about how animals solve problems.

Madison A Rittinger¹, Rafael Lucas Rodríguez¹

¹Department of Biological Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI, USA.

Biology Letters

|October 14, 2025

Summary

This study introduces a new framework to understand animal problem-solving strategies without needing to prove a negative. It analyzes variation within and between animals to identify innate, learned, or insightful solutions.

Keywords:

cognition innate insight learning problem-solving

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Area of Science:

Animal Behavior
Cognitive Ecology
Neuroethology

Background:

Problem-solving is crucial for animal survival, with solutions ranging from innate behaviors to learned or insightful strategies.
Distinguishing between these problem-solving types is challenging due to complex experimental requirements, often necessitating the impossible task of proving a negative.

Purpose of the Study:

To develop a novel, accessible framework for testing hypotheses on animal problem-solving.
To differentiate between innate, learned, and insightful problem-solving strategies without requiring proof of a negative.

Main Methods:

The framework analyzes distinct patterns of qualitative and quantitative variation in behavior.
Variation is assessed both between different individuals and within individual performance over time.
This approach avoids the need for prior knowledge of an animal's learning history or the novelty of the task.

Main Results:

The proposed framework offers a method to distinguish between different types of animal problem-solving.
It provides a viable alternative to traditional methods that often require proving a negative.
The framework is adaptable to various animal species, experimental designs, and settings.

Conclusions:

This novel framework facilitates the study of animal problem-solving across diverse species and contexts.
It can enhance our understanding of how different brain structures influence problem-solving abilities.
Broader application of this framework can illuminate the evolutionary trajectory of cognitive abilities.