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Preparedness (learning)

Preparedness (learning) is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Preparedness (learning) rather than just read about it. In short: In psychology, preparedness is a concept developed to explain why certain associations are learned more readily than others. For example, phobias related to survival, such as snakes, spiders, and heights, are much more common and much easier to induce in the laboratory than other kinds of fears.

Preparedness (learning) — main illustration
Preparedness (learning) — illustration

Key takeaways

  • Preparedness (learning) belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Preparedness (learning) to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Preparedness (learning) from memory before moving on to harder problems.

Reference excerpt

In psychology, preparedness is a concept developed to explain why certain associations are learned more readily than others. For example, phobias related to survival, such as snakes, spiders, and heights, are much more common and much easier to induce in the laboratory than other kinds of fears. According to Martin Seligman, this is a result of our evolutionary history. The theory states that organisms which learned to fear environmental threats faster had a survival and reproductive advantage. Consequently, the innate predisposition to fear these threats became an adaptive human trait. Although extensively studied in relation to fears and phobias, the concept of preparedness has also been used to explain why taste aversions are learned so quickly and efficiently compared with other kinds of classical conditioning. Preparedness theory developed in response to growing evidence against the behaviourist assumption of equipotentiality, the view that the same principles of learning and conditioning apply equally to all stimuli and responses. Although influential, the theory has attracted debate. Some researchers have proposed that the uneven distribution of fears is a result of cognitive biases in threat expectation instead of inherited predispositions. Reviews of experimental literature have also suggested mixed support for Seligman’s original predictions.

History and theoretical background In a study by Garcia and Koelling (1966), rats were given water that was simultaneously tasty (saccharin-flavoured) and ‘bright-noisy’ (paired with light and sound), meaning both stimuli were experienced equally. During training, this combined stimulus was paired with an unpleasant outcome, either an electric shock or nausea induced by radiation or toxin exposure. When the taste and audiovisual components were later tested separately, rats that were made nauseous developed a strong aversion to the taste but not to the light and sound. Conversely, the rats that were shocked avoided the light and sound but not the taste. This pattern was amongst the first challenges to the behaviourist assumption that any stimulus could be equally associated with any outcome and instead suggested that organisms are biologically predisposed to associate certain types of cues with certain types of consequences. These findings were originally rejected by several journals; however, their successful replication by other researchers helped overcome this initial resistance.

Seligman (1971) proposed that the ease with which associations are learned falls along a continuum. At one end, ‘prepared’ associations are acquired rapidly with very little input, sometimes in a single trial, are highly resistant to extinction (the fading of a learned response once reinforcement stops) and are difficult to override through reasoning alone. At the other end, ‘contraprepared’ associations are very difficult to establish, even with many repeated pairings. Standard laboratory conditioning that requires multiple trials is considered ‘unprepared’ learning, which falls in the middle of the continuum. Seligman applied this model to explain the uneven distribution of human phobias across all potentially dangerous objects; fears of snakes, spiders and heights are significantly more prevalent than fears of electrical outlets or hammers, despite the latter being more frequently associated with injury in modern life. He argued that common phobias are non-arbitrary and comprise objects and situations related to threats faced throughout human evolutionary history. Taste aversion learning illustrates several properties of prepared associations. It can be acquired after a single pairing of a novel taste with a subsequent illness, remains effective even when the delay between ingestion and sickness extends to several hours and is highly resistant to extinction once established.

Experimental evidence Beginning in the mid-1970s, Arne Öhman and colleagues conducted a series of classical conditioning experiments to test whether some stimuli were easier to condition as fear cues than others. Fear-relevant photographs such as of snakes and spiders were used as conditioned stimuli and fear-irrelevant photographs such as of flowers and mushrooms were used as controls. Both were paired with an aversive electric shock. After the shock was discontinued, participants continued to show strong physiological fear responses to the fear-relevant images; however, responses to the fear-irrelevant images extinguished rapidly. In later experiments, Öhman and Soares demonstrated that conditioned fear responses to fear-relevant stimuli could be elicited even when the images were flashed too briefly for the participants to consciously recognise them, suggesting that fear learning may operate automatically and not require the conscious recognition of a stimulus. Cook and Mineka (1990) tested whether preparedness constrains observational learning and direct conditioning. Laboratory-reared rhesus monkeys with no prior exposure to snakes watched videotapes of other monkeys reacting fearfully. Observers who saw models reacting fearfully to toy snakes but not to artificial flowers acquired a fear of snakes. However, observers who saw the same fearful behaviour directed at flowers instead of snakes did not acquire a fear of either stimulus. This selective pattern of fear acquired observationally for snakes but not for flowers, despite identical model behaviour, provided cross-species evidence that biological preparedness constrains what can be learned through social observation as well as direct experience. Öhman and Mineka (2001) proposed an evolved fear module. They described it as a relatively independent system that is more readily activated in aversive contexts by stimuli associated with ancestral threats. In their account, its activation is automatic, it is difficult to override through cognitive control and it originates in dedicated neural circuitry centred on the amygdala, a brain region involved in processing threats. This model proposed that natural selection resulted in a dedicated system for rapidly detecting and responding to recurring dangers in ancestral environments. Öhman and Mineka argued that the model’s encapsulation is consistent with features of clinical phobias in that the sufferer recognises the fear as excessive or unreasonable, yet the response remains difficult to control through conscious cognition.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Preparedness (learning)

Start with the simplest possible case. Write down what Preparedness (learning) claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Preparedness (learning) before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Preparedness (learning) ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Preparedness (learning)

In research
Preparedness (learning) appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Preparedness (learning) in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Preparedness (learning) is common in secondary-school and first-year university syllabi. It links to neighbouring topics Learning, Preparedness, so understanding it makes those chapters shorter.
In everyday life
Look for Preparedness (learning) outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Preparedness (learning) in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Preparedness (learning) means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Preparedness (learning) out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Preparedness (learning) in simple terms?

In psychology, preparedness is a concept developed to explain why certain associations are learned more readily than others. For example, phobias related to survival, such as snakes, spiders, and heights, are much more common and much easier to induce in the laboratory than other kinds of fears.

Why does Preparedness (learning) matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Preparedness (learning)?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Preparedness (learning).

Tags

  • Learning
  • Preparedness

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