Born to know, Taught to learn: How do animals learn and how do humans still struggle even with all the learning

Introduction: The question of learning

Human beings have spent centuries finding ways to organize knowledge. We have built schools to teach us how to read, universities to deepen our understanding, libraries to preserve what we have discovered, and scientific institutions to investigate what remains unknown. Today, we are even developing artificial intelligence to extend the boundaries of what we can learn and accomplish.

Yet, despite all these structures, there is something curious about the human experience of learning. We can spend years studying, memorising information, and passing examinations, only to find ourselves uncertain when faced with situations for which nobody has prepared us. We can know the theory but struggle with its application. We can accumulate information without necessarily developing the judgement to use it.

Meanwhile, the natural world presents us with a different picture. Animals find food, recognise threats, navigate their surroundings, establish social relationships, and acquire the skills necessary to survive. A young bird learns to fly, a primate discovers how to extract food using a tool, and a predator develops the coordination needed to catch its prey. None of these animals requires a human-style curriculum.

Perhaps the difference is not as simple as it appears. Animals do not live entirely by instinct, just as humans do not learn entirely through formal instruction. Both inherit biological predispositions, respond to experience, and adjust their behaviour to the environments they inhabit. What differs is how these processes interact, the kinds of information organisms can acquire, and the extent to which they can build upon what others have learned.

This raises a question worth exploring, if learning is a biological process that helps organisms navigate their environments, what happens when humans develop elaborate systems for organizing that process? Have we become better at learning, or have we simply become better at structuring it?

To answer this, we must first understand how learning works, how animals acquire knowledge, and what the comparison between human and animal intelligence can reveal about our own nature.

1. Learning to live: The biology behind the human mind

Learning begins long before a child enters a classroom. From infancy, humans absorb information through their senses, form associations, recognize patterns, and adjust their behaviour in response to experience. The brain is not a finished structure waiting to receive information; it develops and changes through its interactions with the world.

One of the biological foundations of this process is neuroplasticity, the nervous system's ability to change its organization and functioning in response to experience. When we practice a skill, acquire a new memory, or become familiar with an environment, changes occur in the activity and connections of neural networks. Learning is not simply the addition of facts to a mental storage space. It involves changes in how the brain processes information.

Consider learning to ride a bicycle. At first, maintaining balance requires conscious effort. We pay attention to the handlebars, the pedals, and every movement of our body. With practice, many of these actions become more coordinated and require less deliberate attention. The skill becomes easier to perform because experience has changed how the nervous system controls the movements involved.

We also learn through association. A child who touches a hot surface may learn to avoid it after experiencing pain. A student who repeatedly practices a difficult mathematical problem may eventually recognize the pattern needed to solve it. Through observation, we acquire behaviours without having to experience every consequence ourselves. Through language, we can learn about distant places, past events, and scientific discoveries that we have never encountered directly.

Human learning is therefore remarkably flexible. We can learn from experience, from other people, and from accumulated cultural knowledge. This last ability is particularly important. We do not have to rediscover everything that previous generations have discovered. We inherit languages, tools, traditions, scientific theories, and technologies that allow us to begin learning from a foundation already built by others.

However, this advantage introduces a complication. If human learning is so sophisticated, why do we sometimes struggle to use what we know? A student may memorize the structure of a cell without being able to explain how its components work together. Someone may understand the definition of empathy but struggle to recognize another person's distress. We can become proficient at answering questions within a familiar system and still feel lost when the circumstances change.

Part of the explanation lies in the difference between acquiring information and applying it. Remembering a fact, understanding a principle, transferring knowledge to a new situation, and making a sound decision are related but distinct achievements.

Formal education can develop all these abilities, but it does not automatically develop them equally. An examination may measure whether someone can recall information or solve a particular problem under specified conditions. It may reveal less about how that person will respond to an unfamiliar challenge outside the examination room.

This does not mean that education is unnatural or that learning without instruction is necessarily superior. Human beings are social learners, and organized education allows us to transmit complex knowledge efficiently. A person cannot reasonably be expected to discover modern medicine, physics, or genetics entirely through personal experience.

The more useful question is whether our methods of teaching always reflect the different ways people learn. Do we sometimes place so much emphasis on demonstrating what we know that we neglect the process of learning how to think?

In biology, an organism's ability to respond to its environment matters. Learning can help an individual avoid danger, find resources, and adjust when circumstances change. Human beings face these challenges too, although our environments include not only forests, rivers, and changing weather but also social expectations, institutions, economic pressures, and technologies.

Perhaps the problem is not that humans have created systems for learning. It is that no system can prepare us for every situation we might encounter. Knowledge gives us a foundation, but experience teaches us how to use it. The ability to learn may matter just as much as the knowledge we have already acquired. If this is true for humans, what can we learn from organisms that acquire useful behaviours without anything resembling our educational systems?

2. If animals don't know, then how?

Imagine a young animal encountering the world for the first time. It must eventually distinguish useful resources from harmful ones, respond to potential threats, and develop the behaviours necessary for survival. Yet it has no textbook explaining which actions to take. How, then, does it know what to do?

The first thing to recognize is that the question contains an assumption: that an animal must consciously understand a situation before it can respond appropriately. Biology suggests otherwise.

Some behaviours are strongly influenced by inherited biological mechanisms. Others develop through experience, observation, and environmental feedback. Often, several of these processes operate together.

Instinct is part of the explanation, but it is not the whole explanation.

An instinctive behaviour is one that is substantially influenced by inherited biological predispositions. Some newly hatched sea turtles, for example, orient towards the brighter seaward horizon under natural beach conditions, helping them move towards the ocean. This behaviour does not require a turtle to understand geography or consciously calculate its direction.

However, even apparently straightforward behaviours depend on the relationship between an organism and its surroundings. Artificial lights can interfere with the visual cues that help hatchlings orient towards the sea. An inherited tendency that is useful under one set of conditions can become unreliable when the environment changes.

This is an important feature of biological behaviour, where, evolution does not produce perfect instructions for every possible circumstance. It produces traits that have been shaped by the conditions in which organisms and their ancestors lived.

Learning provides another way to respond to the world. A young predator may possess inherited tendencies to stalk or pursue moving objects, but successful hunting requires coordination, timing, and experience. Its behaviour may improve through repeated attempts, observation, and interaction with more experienced animals. The inherited predisposition provides part of the foundation; learning helps refine the performance.

Animals can also learn associations between events. If a particular smell repeatedly accompanies danger, an animal may begin avoiding that smell. If a location reliably provides food, it may learn to return to it. These changes do not require a formal understanding of cause and effect in the human sense. Behaviour can be modified by the consequences of previous experiences.

Social learning adds another layer. Young chimpanzees can observe how others use tools, while many bird species acquire aspects of their songs by listening to other birds. In these cases, the environment provides more than physical challenges, but it also provides information carried by other members of the species.

The animal is not simply following a predetermined program. It is responding to information, retaining aspects of experience, and sometimes changing its behaviour accordingly.

This brings us to a more difficult question. What does it mean to know something? When a bird returns to a reliable feeding site, does it know where food can be found? When an animal avoids a place associated with danger, does it understand why that place is dangerous? And when an animal solves a problem using a tool, how much of the process involves deliberate reasoning?

We must be careful not to assume that every successful behaviour demonstrates human-like thought. We must also avoid the opposite mistake of assuming that an animal is incapable of sophisticated cognition simply because it cannot explain its actions in human language.

Scientists investigate animal cognition by observing behaviour and designing experiments that distinguish between competing explanations. They ask whether an animal can remember a location, learn a new association, adapt when a familiar rule changes, or solve a problem in a way that cannot easily be explained by a simple stimulus-response pattern.

The findings reveal a variety of learning abilities across species, although these abilities differ in form and complexity. Animals do not need to understand the world exactly as humans do to respond effectively to it. Nor must every useful behaviour be learned from scratch. Evolution has shaped bodies, sensory systems, and nervous systems that make some responses more likely and some kinds of learning more accessible.

Perhaps, then, the question is not why animals know what to do without being taught. It is why we have come to associate knowing so closely with being able to explain, describe, or consciously justify what we do.

An organism can respond effectively without possessing an explicit theory of its behaviour. Yet effectiveness alone does not tell us everything about the mental processes involved. To understand those processes, we must look more closely at the evolutionary relationships between humans and other animals.

3. Same but different: Humans and our primate relatives

Humans often speak about animal intelligence as though it belongs to a separate category from our own. We describe ourselves as rational and animals as instinctive, or we assume that the ability to learn is what distinguishes humanity from the rest of the animal kingdom, but humans are animals, and we belong to the primate order. Our cognitive abilities emerged through evolution, rather than appearing independently of the biological processes that shaped other species.

Comparing humans with other primates therefore offers an opportunity to examine both the continuities and the differences in how intelligence develops.

Chimpanzees, for example, use tools in several contexts. Some populations use sticks to extract termites from mounds, while others use stones to crack nuts. These behaviours require more than the physical ability to manipulate objects. The animal must interact with its surroundings in ways that make the tool useful.

Young chimpanzees can also learn by observing others. Different communities display variations in tool use and other behaviours, with social learning helping to maintain some of these local traditions. Researchers have consequently investigated how knowledge spreads through primate groups and how individuals acquire behaviours that are not simply a direct consequence of their anatomy.

Humans share some of these foundations. Children learn by observing adults, imitating actions, exploring objects, and discovering the consequences of their behaviour. They do not arrive at knowledge through reasoning alone, but much of their early learning depends on interaction with people and their surroundings.

So where does the difference lie? One major distinction is the extraordinary scale of human cumulative culture, which involves the process through which knowledge and innovations are transmitted, retained, and built upon across generations.

Consider a simple modern object, such as a mobile phone. Its existence depends on accumulated knowledge in physics, chemistry, mathematics, engineering, manufacturing, and communication. No single person needs to rediscover every principle involved in its construction. We inherit the results of previous discoveries and use them to develop something new.

Human language is central to this process. It allows us to communicate information about events that are not immediately present, describe abstract relationships, formulate explanations, and share plans. Through language and other cultural practices, we can preserve ideas long after the people who developed them have died.

Other primates also communicate, learn socially, and maintain behavioural traditions. The distinction is not that human beings possess culture while other primates possess only instinct. Rather, the forms, extent, and cumulative complexity of culture differ across species.

Human development also involves a long period during which individuals acquire skills and knowledge from others. This extended learning period can be demanding, but it provides opportunities to acquire a vast amount of socially transmitted information.

Our intelligence is therefore not simply a product of individual brainpower. It is also shaped by the communities, tools, languages, and institutions through which knowledge is shared.

This raises a fascinating possibility. Some of what makes humans cognitively powerful is not contained within an individual brain at all. It exists in the relationships between brains, in the information preserved by culture, and in the external systems that allow knowledge to accumulate.

Yet cumulative culture can create dependence as well as opportunity. Modern individuals rely on specialized knowledge distributed across society. We may know how to use an object without understanding how it works, or depend on systems whose underlying principles are beyond our expertise.

That dependence is not necessarily a weakness. Specialization allows societies to accomplish things that no individual could achieve alone. Nevertheless, it reminds us that possessing access to knowledge is not the same as personally understanding every part of it.

Humans and other primates share evolutionary foundations for learning, social interaction, and problem-solving. Human cognition has developed distinctive capacities for language, abstraction, and cumulative cultural transmission, but these differences do not erase the biological continuities between us.

Instead, they raise a further question. If human intelligence has enabled us to build systems that extend our own abilities, what happens when those systems become powerful enough to change how we learn in the first place?

4. Are humans advancing, or must we push the boundaries of learning?

Human beings have developed ways to extend their cognitive abilities beyond what an unaided brain can accomplish. Various examples include, writing allowing us to preserve information outside memory, mathematics giving us tools for reasoning about quantities and relationships, scientific instruments revealing phenomena that our senses cannot detect directly or computers allowing us to process information and solve problems at scales that would otherwise be impractical.

Increasingly, artificial intelligence systems can also generate explanations, recognize patterns, and assist with complex tasks. These developments represent genuine extensions of human capability. But they introduce a distinction between what a person can accomplish with a tool and what that person understands.

Imagine two students using an AI system to explain a biological process. One copies the explanation and memorizes it. The other asks questions, checks the evidence, compares the explanation with other sources, and uses it to develop a deeper understanding.

Both have access to the same technology. Yet their learning experiences may be very different. This is not a problem unique to AI. A calculator can help someone solve a mathematical problem without teaching them why the method works or a search engine can provide information without ensuring that the information is accurate or understood. Even a traditional classroom can encourage memorization without developing the ability to apply knowledge in unfamiliar circumstances.

Technology does not automatically make learning better or worse. Its effects depend partly on how it is used, the task being performed, and the knowledge and skills the learner brings to it. Still, our growing technological capabilities invite a larger question, what do we mean when we say that humans are becoming more intelligent? Intelligence is not a single, universally agreed-upon measure of everything a mind can do. Researchers study different abilities, including reasoning, memory, learning, problem-solving, and adaptation. Strong performance in one area does not guarantee equal ability in every other area.

There is also a difference between solving a problem and deciding whether it is the right problem to solve. A system may help us produce an answer more quickly without helping us determine whether the question was meaningful, whether the evidence was sufficient, or whether the result should guide our actions. This distinction matters because human life requires more than the accumulation of information. It requires judgement, the ability to recognize uncertainty, and an appreciation of the consequences of our decisions.

Could technological advances eventually allow us to exceed some of the cognitive limitations imposed by our biology? In particular tasks, they already do, but it is much harder to predict the ultimate limits of human intelligence, especially when intelligence itself includes several different capacities and can be supported by tools, collaboration, and cultural knowledge.

There may be no single point at which we can declare human intelligence to have reached its absolute peak. Perhaps a more useful question is whether our methods of learning are evolving alongside our technological abilities. We can make information increasingly accessible, automate difficult calculations, and create tools that assist with reasoning, but will these advances necessarily make us more capable of independent thought? Will they improve our judgement, or could they encourage us to accept answers without examining them?

The challenge is not simply to develop increasingly powerful tools. It is to learn how to use them while retaining the ability to question their outputs, understand their limitations, and recognize when we do not know enough.

Human intelligence has always been shaped by the interaction between our biology and the environments we create. Technology is now an increasingly important part of that environment.

Our future may depend not only on how much more we can accomplish, but also on whether we continue to develop the understanding needed to direct those accomplishments wisely. Yet, for all our technological progress, we remain biological organisms. Our capacity to learn still emerges from nervous systems shaped by evolutionary history. Which brings us back to something much older than classrooms, books, computers, or artificial intelligence. The relationship between inherited tendencies and experience.

5. Old habits, live long: Will instinct continue to shape intelligence?

It is tempting to imagine that learning represents progress beyond instinct, as though the more intelligent an organism becomes, the less it needs the biological tendencies with which it began. However, evolution does not work by simply replacing old behaviours with new ones. Biological systems are modified over generations, and inherited predispositions continue to influence how organisms perceive and respond to their environments.

Even human learning depends on biological capacities that we did not consciously choose. Our brains develop through interactions between genetic influences and experience. Our sensory systems determine which aspects of the environment we can detect. Our developmental histories influence how we respond to situations, and our nervous systems provide the mechanisms through which memories and skills are acquired.

We are not blank slates, but neither are we fixed programs. The same principle applies to other animals. Inherited behavioural tendencies can provide a starting point, while experience helps individuals adjust their responses to particular circumstances. Some behaviours are relatively stereotyped, while others are highly flexible. The balance differs among species and even among behaviours within the same species.

Instinct can be advantageous because it reduces the need to learn certain things entirely from experience. An organism that responds rapidly to a threat may gain a survival advantage over one that must first discover the danger through repeated exposure.

Yet instinct has limitations. A behaviour that evolved under one set of environmental conditions may become less useful when those conditions change. Animals may then need to modify their behaviour, learn new associations, or move to a different environment.

Human beings face similar challenges. Our intuitions can be useful, but they can also lead us astray. A response that once served us well may not be appropriate in a different social or technological environment. Habits can help us perform familiar tasks efficiently, but they can also prevent us from recognizing when a situation requires a different approach.

Learning, therefore, does not simply eliminate instinct. It interacts with inherited tendencies, sometimes reinforcing them, sometimes modifying them, and sometimes allowing us to respond in ways that differ considerably from our initial predispositions.

There is an evolutionary dimension to this relationship as well. Learning occurs during an individual's lifetime, whereas biological evolution involves changes in heritable traits across generations. These are different processes, although they can influence one another. The ability to learn can itself be shaped by natural selection, and learned behaviours can alter the environments in which organisms live and reproduce. This means that intelligence is not separate from evolutionary history. The capacities through which organisms learn have themselves been shaped by biological processes.

So will instinct continue to shape animal intelligence? Almost certainly, in the broad sense that inherited biological characteristics will continue to influence how animals perceive, learn, and behave. But instinct should not be treated as an unchanging set of instructions that determines every action. Its relationship with experience is more dynamic than that.

The more interesting question may be whether intelligence was ever meant to free organisms from instinct in the first place.

Perhaps learning is valuable precisely because the world cannot be predicted completely. Inherited tendencies provide a foundation, while experience allows behaviour to be adjusted when circumstances demand it. Neither mechanism has to be perfect on its own if they can work together.

In that sense, the persistence of instinct is not evidence that evolution has failed to move beyond it. It is a reminder that learning developed within biological systems rather than outside them and humans, despite our schools, laboratories, and technologies, remain part of that story.

Conclusion: What does it mean to know how to live?

We began with a curious contrast. Humans have built elaborate systems for teaching and preserving knowledge, yet possessing that knowledge does not always leave us prepared for the situations we encounter. Animals, meanwhile, often display behaviours that appear remarkably suited to their environments, even though their learning does not resemble our own.

The comparison reveals something more interesting than a contest between human intelligence and animal instinct. Learning is not one single process. It emerges through interactions between inherited predispositions, nervous systems, experience, social relationships, and environmental conditions. Animals combine these influences in different ways, and humans do the same, although our capacities for language and cumulative culture have enabled us to build extraordinarily complex systems for transmitting knowledge.

These systems are among our greatest achievements. They allow us to preserve discoveries, teach skills, investigate nature, and extend our abilities through technology. But they cannot guarantee that every learner will understand what they encounter or know how to apply it.

Perhaps this is because learning has never been only about collecting information. It is also about responding to circumstances, recognizing patterns, adjusting behaviour, and dealing with situations that cannot be completely anticipated.