Concepts · Learning and Memory

Reinforcement, Reward and Pleasure

What changes behaviour, what carries value and what feels pleasurable are related questions—but they are not the same question.

By Yona Ole Lobulu ·

Concept13 min readFoundationalD5.5

Topic
Learning and Memory
Read first
One piece should be read before this one
Reading time
About 13 minutes of reading
Difficulty
Late reading: this page sits at the far end of the Library, after many other pieces

The question

How should reinforcement, reward and pleasure be distinguished when explaining why consequences change behaviour?

Definition

Reinforcement is a functional relation in which consequences participate in strengthening subsequent behaviour under relevant conditions. Reward, under the Library's controlled working usage, is an outcome carrying positive value or desirability; pleasure is positive hedonic experience.

Suppose someone is given a reward for doing something.

A teacher praises a student for completing an assignment. An employer offers a bonus for reaching a target. A parent promises extra screen time after a chore.

The intention is obvious: encourage the behaviour.

But intention does not determine what happens next.

The student may not complete more assignments. The employee may not become more productive. The child may value the screen time without reliably repeating the chore.

Calling something a reward does not establish that it reinforced the behaviour.

That distinction matters because three ideas that are often compressed into one describe different aspects of what is happening.

Reinforcement concerns the strengthening of behaviour through its consequences.

Reward, in the Library's working usage, concerns the positive value or desirability of an outcome.

Pleasure concerns positive hedonic experience.

These processes can interact.

They often occur together.

But evidence for one does not automatically establish the others.

Reinforcement Is Defined by Its Behavioural Function

Operant Learning established that behaviour can change through its relation to consequences.

Reinforcement names one such relation.

A consequence functions as a reinforcer when its contingent relation to a behaviour contributes to an increase in that behaviour under relevant conditions.

The definition is functional.

It does not begin by asking whether the consequence appears attractive.

It does not begin by asking whether someone intended it as encouragement.

It does not begin by asking whether it produced pleasure.

It asks what role the consequence played in changing subsequent behaviour.

This is why the same event cannot be classified as a reinforcer simply by looking at it.

Praise may function as a reinforcer in one context and not in another.

Money may strengthen one pattern of behaviour while having little effect on another.

Access to a preferred activity may alter behaviour under one set of conditions and fail to do so under another.

The relevant function depends on the relation among behaviour, consequence and conditions.

A reinforcer is identified by its function, not by its label.

Even that requires causal discipline.

Suppose a behaviour becomes more frequent after some consequence appears.

The sequence alone does not establish that the consequence produced the increase.

Other conditions may have changed. The person may have acquired new information. Opportunity may have increased. Competing demands may have disappeared. Motivation may have shifted for another reason.

The stronger claim—that the consequence functioned as a reinforcer—requires evidence supporting the relevant behaviour–consequence relation.

Reinforcement therefore should not become another name for any behaviour that happened to increase.

It is a claim about how consequences participate in strengthening behaviour.

Positive and Negative Do Not Mean Good and Bad

Two forms of reinforcement are commonly distinguished.

In positive reinforcement, a consequence is presented or added following behaviour and the relevant behaviour is strengthened.

In negative reinforcement, a consequence is removed, reduced, postponed or avoided following behaviour and the relevant behaviour is strengthened.

The terms positive and negative are easy to misunderstand because ordinary language gives them evaluative meanings.

Here they do not mean:

good reinforcement

and:

bad reinforcement.

They refer to different consequence relations.

Something is presented or added in positive reinforcement.

Something is removed, reduced, postponed or avoided in negative reinforcement.

Positive and negative describe consequence relations, not good and bad.

Imagine that a person performs an action that stops an unwanted noise.

If that action becomes more likely under relevant conditions because of what happens when the noise stops, the removal of the noise may function as negative reinforcement.

But the disappearance of something unwanted is not negative reinforcement by itself.

The defining issue is whether that consequence strengthens the relevant behaviour.

This is important because reinforcement is often misunderstood as giving someone something pleasant.

Negative reinforcement shows why that is too narrow.

Behaviour can be strengthened because acting removes, reduces or prevents a condition the organism is responding to.

Negative reinforcement is also not punishment.

Both concepts concern consequences of behaviour, but they describe different behavioural relations. Reinforcement concerns the strengthening of behaviour. The fuller treatment of punishment belongs to What Punishment Changes.

Likewise, avoidance can become maintained through negative reinforcement, but the larger architecture of that process belongs downstream in How Avoidance Becomes Self-Reinforcing.

The point required here is narrower.

Reinforcement is defined by behavioural function, not by whether a consequence seems positive or negative in ordinary language.

A Reward Is Not Automatically a Reinforcer

The word reward creates a different problem.

Scientific fields do not use it in one perfectly uniform way.

Behavioural science, neuroscience, decision research and computational models may use reward in overlapping senses involving value, motivation, learning, choice or experimentally defined outcomes.

The Library therefore needs to state its own usage explicitly.

Here, reward refers primarily to an outcome carrying positive value or desirability under relevant conditions, unless a narrower research usage is specified.

That makes reward different from reinforcement.

Suppose someone values a bonus.

The bonus may be desirable.

It may influence what the person chooses.

It may matter to motivation.

But those facts do not by themselves establish that the bonus reinforced the particular behaviour that preceded it.

The same distinction applies to praise.

Praise may be offered as a reward.

The person may appreciate it.

They may even find it pleasurable.

Whether it functions as a reinforcer is a further question about the behaviour–consequence relation.

Calling an outcome a reward does not establish its reinforcing function.

An employer cannot know that a bonus reinforced performance merely because it was intended to encourage it.

A teacher cannot know that praise functioned as a reinforcer merely because praise is conventionally considered desirable.

The behavioural effect has to be established rather than assumed from the label.

Nor is reinforcing effectiveness fixed permanently inside an object or event.

Food may carry high value under one physiological condition and much less under another.

An outcome that matters strongly in one context may matter little in another.

Learning history can alter what becomes significant.

The same consequence can therefore function differently across people, situations and states.

This does not require this Concept to explain valuation in detail. That belongs to Valuation.

The narrower principle is enough:

Reinforcing effectiveness is relational rather than a permanent property contained inside the consequence itself.

Pleasure Answers Another Question

Pleasure belongs to another dimension again.

Here, pleasure refers to positive hedonic experience.

It concerns what an outcome or experience feels like.

That question matters.

But it is not the same question as whether behaviour was strengthened.

Something can feel pleasurable without there being evidence that it reinforced a particular preceding behaviour.

Conversely, evidence that a behaviour was reinforced does not automatically reveal the person's hedonic experience.

Consider two observations:

The person experienced the outcome as enjoyable.

and:

The relevant behaviour became more likely under the contingency.

Those observations may concern the same episode.

But they establish different things.

The first concerns experience.

The second concerns behaviour.

Feeling good and reinforcing behaviour are different observations.

Pleasure can be related to valuation, motivation and learning without being identical to any of them.

That distinction matters because otherwise pleasure can quietly become a hidden explanation for every strengthened behaviour.

If behaviour changes, evidence is still needed for the behavioural relation.

If something is pleasurable, that fact alone does not tell us whether it altered the future occurrence of the behaviour that preceded it.

Reward-related science makes this especially important because processes that ordinary language often combines can dissociate.

Something can be wanted, liked and learned about in overlapping but non-identical ways.

This Concept needs only the distinction required here.

The fuller treatment of wanting, liking and learning belongs downstream.

They Can Coincide Without Being the Same

Separating reinforcement, reward and pleasure does not mean treating them as independent systems.

One consequence may satisfy all three descriptions.

Someone performs an action.

A valued outcome follows.

The outcome is pleasurable.

The behaviour becomes more likely under the relevant conditions.

In that case, the outcome may:

carry positive value;

produce pleasure;

function as a reinforcer.

That combination helps explain why ordinary language so easily compresses the concepts.

But co-occurrence does not establish identity.

Reward, reinforcement and pleasure can coincide without becoming the same process.

A useful way to preserve the distinction is to ask three different questions.

What happened to subsequent behaviour?

That is the reinforcement question.

What value or desirability did the outcome carry?

That is the reward question under the Library's working usage.

What was the hedonic quality of the experience?

That is the pleasure question.

The answers can interact.

An outcome's value can affect behaviour.

Pleasure can be part of why an outcome matters.

Learning can change what happens when similar situations occur again.

But evidence for one answer does not automatically supply the others.

These distinctions are analytical.

They do not imply separate behavioural, motivational and experiential machines inside the person.

They identify different properties and relations within the same behaving organism.

Reinforcement Is Not a Conscious Pleasure Decision

An intuitive model of reinforcement often looks something like this:

I performed an action.

I noticed what followed.

I liked the consequence.

I consciously decided that the action was worth repeating.

Sometimes human behaviour may involve a sequence like that.

But reinforcement should not be defined through it.

The concept does not require us to assume that a person verbally represented the contingency and deliberately decided to repeat the action.

Nor does it require us to assume that conscious pleasure was the mechanism producing the behavioural change.

At the same time, rejecting that assumption does not justify the opposite claim:

awareness never matters.

Explicit contingency knowledge can matter in human learning.

Its role varies across paradigms, tasks and methods of measurement, and the broader question of learning without awareness remains scientifically contested.

This Concept does not need to resolve that debate.

The narrower safeguard is enough:

The definition of reinforcement does not require us to assume that behavioural change occurred because the person consciously noticed and enjoyed the consequence.

Reinforcement is therefore not synonymous with a conscious decision to seek another pleasurable outcome.

But awareness should not be declared irrelevant by definition either.

Dopamine Does Not Collapse the Distinction

Popular explanations often compress reward-related behaviour further:

something good happens → dopamine → pleasure → repetition.

That sequence is too simple to function as a general explanation.

Dopamine participates in important neural processes involved in reward-related learning and motivation.

In some well-studied paradigms, activity in particular dopamine populations has been interpreted as carrying reward-prediction-error-like signals relevant to learning.

That is scientifically important.

It does not justify treating dopamine as:

pleasure;

reward itself;

reinforcement itself;

one complete mechanism explaining why behaviour persists.

In particular, dopamine should not be described simply as a pleasure chemical.

Reward-related wanting and hedonic liking can dissociate, and dopamine's contribution to reward-related behaviour cannot be reduced to the production of pleasurable experience.

Another distinction is also necessary.

The term reinforcement learning is used in computational science and neuroscience for formal learning frameworks involving reward-related signals and updating.

Those frameworks are historically connected to learning theory, but computational reinforcement learning is not simply another name for the functional operant concept of reinforcement used in this node.

Naming dopamine does not eliminate the distinctions the behaviour still requires us to make.

This Concept does not need a complete neurobiology of reward.

The point is smaller and more important:

A neural description should not fuse reinforcement, value and pleasure back into one process simply because all three can involve neural activity.

What Behaviour Alone Cannot Tell Us

Once these distinctions are established, behavioural observation becomes easier to interpret with discipline.

Suppose a behaviour increases.

What does that tell us?

It tells us that behaviour changed.

Under an appropriate design, the evidence may also support a reinforcement relation.

But behavioural increase alone does not establish:

that the person enjoyed the outcome;

that pleasure caused the change;

that they consciously preferred the behaviour;

that they explicitly understood the contingency;

that one particular motivational process explains the pattern;

that dopamine caused the behaviour;

that one unique mechanism has been identified.

The same caution works in reverse.

Suppose an outcome is experienced as highly pleasurable.

That tells us something about experience.

It does not establish that the outcome reinforced the preceding behaviour.

Suppose an outcome is strongly valued.

That tells us something about valuation.

It still does not establish the behavioural effect of a particular contingency.

This gives a broader epistemic rule:

What changes behaviour, what is valued and what feels pleasurable are different explanatory questions.

Each requires evidence appropriate to that claim.

This matters because persistent behaviour is especially easy to overinterpret.

If someone repeatedly checks a phone, consumes a substance, seeks reassurance or avoids a difficult situation, it may be tempting to conclude:

they must enjoy it.

Repetition alone cannot establish that.

Persistent behaviour can emerge from different combinations of learning history, current incentives, goals, avoidance, habit, opportunity and other conditions.

Repetition does not identify one underlying mechanism.

Nor should persistent behaviour automatically be called a habit. The architecture of habit formation belongs to What Makes Behaviour Habitual?

And reinforcement is not a complete theory of motivation. Motivation includes several distinct processes developed elsewhere in the Library.

Observed behaviour therefore provides evidence about what occurred.

It is not a transparent report of the pleasure, value or mechanism behind it.

Why the Distinction Matters

Collapsing reinforcement, reward and pleasure creates predictable explanatory errors.

The first is assuming that an attractive reward should automatically change behaviour.

It may not.

The outcome may be highly valued without functioning as a reinforcer for the target behaviour under those conditions.

The second is inferring pleasure from repetition.

Someone continues doing something, so we conclude:

they must like it.

But persistent behaviour does not transparently reveal hedonic experience.

The third is assuming reinforcement always means adding something pleasant.

Negative reinforcement shows why that is wrong.

Behaviour can strengthen because acting removes, reduces or prevents a relevant condition.

The fourth is replacing the whole problem with neuroscience.

A reward-related neural signal can be scientifically important without telling us whether a consequence functioned as a reinforcer, how strongly an outcome was valued or how pleasurable it felt.

The fifth is treating any behavioural increase as proof of reinforcement.

A behavioural increase requires explanation.

It does not automatically identify its cause.

These errors matter because the three concepts answer different questions.

If behaviour changes, ask what evidence supports the behavioural relation.

If an outcome is valued, ask what establishes that value and under which conditions.

If an experience is pleasurable, treat that as evidence about experience rather than automatically converting it into a learning mechanism.

The distinctions also prepare later parts of the Library.

Punishment can be distinguished cleanly from negative reinforcement.

Avoidance can be analysed without requiring the addition of a pleasurable prize.

Habit can be studied without treating every repeated action as evidence of one reinforcement mechanism.

Motivation can be analysed without reducing wanting to reinforcement.

Reward neuroscience can be interpreted without treating dopamine as pleasure.

Three Questions, Not One

Consequences matter for behaviour.

But saying that something was "rewarding" can hide several different claims.

Did the consequence strengthen subsequent behaviour?

Did the outcome carry positive value?

Was the experience pleasurable?

Sometimes one event supports all three descriptions.

Sometimes it does not.

That difference is not semantic trivia.

It determines what evidence has actually been obtained and what kind of explanation remains possible.

Reinforcement concerns the strengthening of behaviour through its consequences.

Reward concerns value, under the Library's controlled usage.

Pleasure concerns hedonic experience.

Their interactions matter.

Their differences matter too.

What changes behaviour, what is valued and what feels pleasurable should not be forced into one explanation.
Sources and research record10 sources, with findings, strengths and limitations as entered

References

10 sources this piece rests on, as entered in the Library.

  1. Thorndike, E. L. (1911) Animal Intelligence: Experimental Studies

    Book · Macmillan, New York

    The founding experimental treatment of learning through consequences of action, and the origin of the functional analysis of effect.

    Read the source

  2. Skinner, B. F. (1938) The Behavior of Organisms: An Experimental Analysis

    Book · Appleton-Century-Crofts, New York

    The systematic statement of reinforcement as a functional relation between behaviour and consequence rather than a property of the consequence itself.

    Read the source

  3. Premack, D. (1959) Toward Empirical Behavior Laws: I. Positive Reinforcement

    Theoretical article · Psychological Review, 66(4) · 219–233

    Reinforcing effectiveness treated as relational and condition-dependent rather than as a fixed property of a stimulus.

    doi:10.1037/h0040891

  4. Timberlake, W., Allison, J. (1974) Response Deprivation: An Empirical Approach to Instrumental Performance

    Theoretical article · Psychological Review, 81(2) · 146–164

    Reinforcing effectiveness shown to depend on current conditions and constraint rather than on the intrinsic desirability of an outcome.

    doi:10.1037/h0036101

  5. Berridge, K. C., Robinson, T. E., Aldridge, J. W. (2009) Dissecting Components of Reward: 'Liking', 'Wanting', and Learning

    Review · Current Opinion in Pharmacology, 9(1) · 65–73

    Reward-related wanting, hedonic liking and learning identified as dissociable components rather than one process.

    doi:10.1016/j.coph.2008.12.014

  6. Berridge, K. C., Robinson, T. E. (2016) Liking, Wanting, and the Incentive-Sensitization Theory of Addiction

    Review · American Psychologist, 71(8) · 670–679

    Argues explicitly against equating dopamine with pleasure, and separates incentive motivation from hedonic experience.

    doi:10.1037/amp0000059

  7. Schultz, W., Dayan, P., Montague, P. R. (1997) A Neural Substrate of Prediction and Reward

    Experimental article · Science, 275(5306) · 1593–1599

    Reward-prediction-error-like activity reported in particular midbrain dopamine populations under specific paradigms.

    doi:10.1126/science.275.5306.1593

  8. Wise, R. A. (2008) Dopamine and Reward: The Anhedonia Hypothesis 30 Years On

    Review · Neurotoxicity Research, 14(2–3) · 169–183

    A historical reassessment showing why dopamine cannot be treated straightforwardly as the pleasure signal it was once taken to be.

    doi:10.1007/BF03033808

  9. Lovibond, P. F., Shanks, D. R. (2002) The Role of Awareness in Pavlovian Conditioning: Empirical Evidence and Theoretical Implications

    Review · Journal of Experimental Psychology: Animal Behavior Processes, 28(1) · 3–26

    A critical review showing that the role of contingency awareness in human learning varies with paradigm and measurement, and remains contested.

    doi:10.1037/0097-7403.28.1.3

  10. Sutton, R. S., Barto, A. G. (2018) Reinforcement Learning: An Introduction (2nd edition)

    Book · MIT Press, Cambridge, MA

    The standard statement of computational reinforcement learning — historically connected to learning theory, but a formal framework distinct from the operant behavioural concept.

    Read the source

Further reading

Behind this page

The claims this concept makes, the evidence behind them, and the limits it accepts.

Evidence status

Established

Well supported by a substantial, converging empirical literature.

Claims

  1. Reinforcement is defined through behavioural function rather than through the apparent attractiveness of a consequence

    Established

    What this does not assert: The functional definition is a convention of the operant tradition, applied consistently here.

    1. Skinner, B. F. (1938) The Behavior of Organisms: An Experimental Analysis

      Book · Appleton-Century-Crofts, New York

      The systematic statement of reinforcement as a functional relation between behaviour and consequence rather than a property of the consequence itself.

      Read the source

    2. Thorndike, E. L. (1911) Animal Intelligence: Experimental Studies

      Book · Macmillan, New York

      The founding experimental treatment of learning through consequences of action, and the origin of the functional analysis of effect.

      Read the source

  2. The value and behavioural effectiveness of outcomes can vary with state, context and learning history

    High confidence

    What this does not assert: Detailed valuation architecture is owned downstream.

    1. Premack, D. (1959) Toward Empirical Behavior Laws: I. Positive Reinforcement

      Theoretical article · Psychological Review, 66(4) · 219–233

      Reinforcing effectiveness treated as relational and condition-dependent rather than as a fixed property of a stimulus.

      doi:10.1037/h0040891

    2. Timberlake, W., Allison, J. (1974) Response Deprivation: An Empirical Approach to Instrumental Performance

      Theoretical article · Psychological Review, 81(2) · 146–164

      Reinforcing effectiveness shown to depend on current conditions and constraint rather than on the intrinsic desirability of an outcome.

      doi:10.1037/h0036101

  3. Computational reinforcement learning is a formal framework distinct from the operant behavioural concept of reinforcement

    High confidence

    What this does not assert: The traditions are historically connected, which is why the distinction must be stated.

    1. Sutton, R. S., Barto, A. G. (2018) Reinforcement Learning: An Introduction (2nd edition)

      Book · MIT Press, Cambridge, MA

      The standard statement of computational reinforcement learning — historically connected to learning theory, but a formal framework distinct from the operant behavioural concept.

      Read the source

    2. Schultz, W., Dayan, P., Montague, P. R. (1997) A Neural Substrate of Prediction and Reward

      Experimental article · Science, 275(5306) · 1593–1599

      Reward-prediction-error-like activity reported in particular midbrain dopamine populations under specific paradigms.

      doi:10.1126/science.275.5306.1593

  4. An increase in behaviour following a consequence does not by itself establish reinforcement

    Canonical inference

    What this does not assert: Other conditions may have changed; the behaviour–consequence relation requires evidence.

  5. Calling an outcome a reward does not establish its reinforcing function

    Canonical inference

    What this does not assert: Intent and convention are not evidence about behavioural function.

  6. Positive reinforcement does not mean a pleasant consequence

    Canonical inference

    What this does not assert: Positive describes presentation or addition only.

  7. Removal of an unwanted condition does not establish negative reinforcement unless the relevant behaviour is strengthened

    Canonical inference

    What this does not assert: The strengthening criterion is what makes the relation reinforcement.

  8. Pleasure and reinforcement are conceptually distinct: feeling good and reinforcing behaviour are different observations

    Canonical inference

    What this does not assert: They may co-occur within one episode without being one process.

  9. Reward, reinforcement and pleasure can coincide without becoming the same process

    Canonical inference

    What this does not assert: Co-occurrence does not establish identity.

  10. The definition of reinforcement does not require us to assume that behavioural change occurred because the person consciously noticed and enjoyed the consequence

    Canonical inference

    What this does not assert: This does not license the opposite claim that awareness is irrelevant.

  11. Repetition does not identify one underlying mechanism

    Canonical inference

    What this does not assert: Persistent behaviour can be multiply determined; habit is owned downstream.

  12. Positive and negative reinforcement both concern strengthened behaviour, differing in whether a consequence is added or removed

    Established

    What this does not assert: The terms describe consequence relations, not evaluative quality.

    1. Skinner, B. F. (1938) The Behavior of Organisms: An Experimental Analysis

      Book · Appleton-Century-Crofts, New York

      The systematic statement of reinforcement as a functional relation between behaviour and consequence rather than a property of the consequence itself.

      Read the source

  13. What changes behaviour, what is valued and what feels pleasurable are different explanatory questions

    Canonical inference

    What this does not assert: Each requires evidence appropriate to that claim.

  14. Negative reinforcement is distinct from punishment

    Established

    What this does not assert: Both concern consequences; only reinforcement concerns strengthening.

    1. Skinner, B. F. (1938) The Behavior of Organisms: An Experimental Analysis

      Book · Appleton-Century-Crofts, New York

      The systematic statement of reinforcement as a functional relation between behaviour and consequence rather than a property of the consequence itself.

      Read the source

  15. Reinforcing effectiveness varies with current conditions rather than being a permanent property of a stimulus

    Established

    What this does not assert: Demonstrated across relational and response-deprivation formulations; quantitative accounts differ.

    1. Premack, D. (1959) Toward Empirical Behavior Laws: I. Positive Reinforcement

      Theoretical article · Psychological Review, 66(4) · 219–233

      Reinforcing effectiveness treated as relational and condition-dependent rather than as a fixed property of a stimulus.

      doi:10.1037/h0040891

    2. Timberlake, W., Allison, J. (1974) Response Deprivation: An Empirical Approach to Instrumental Performance

      Theoretical article · Psychological Review, 81(2) · 146–164

      Reinforcing effectiveness shown to depend on current conditions and constraint rather than on the intrinsic desirability of an outcome.

      doi:10.1037/h0036101

  16. Reward-related wanting, hedonic liking and learning can dissociate

    Established

    What this does not assert: Dissociations are strongest in animal work; human generalisation is condition-sensitive.

    1. Berridge, K. C., Robinson, T. E., Aldridge, J. W. (2009) Dissecting Components of Reward: 'Liking', 'Wanting', and Learning

      Review · Current Opinion in Pharmacology, 9(1) · 65–73

      Reward-related wanting, hedonic liking and learning identified as dissociable components rather than one process.

      doi:10.1016/j.coph.2008.12.014

    2. Berridge, K. C., Robinson, T. E. (2016) Liking, Wanting, and the Incentive-Sensitization Theory of Addiction

      Review · American Psychologist, 71(8) · 670–679

      Argues explicitly against equating dopamine with pleasure, and separates incentive motivation from hedonic experience.

      doi:10.1037/amp0000059

  17. Activity in particular dopamine populations has been interpreted as carrying reward-prediction-error-like signals

    Established

    What this does not assert: Paradigm- and interpretation-sensitive; not a general theory of dopamine function.

    1. Schultz, W., Dayan, P., Montague, P. R. (1997) A Neural Substrate of Prediction and Reward

      Experimental article · Science, 275(5306) · 1593–1599

      Reward-prediction-error-like activity reported in particular midbrain dopamine populations under specific paradigms.

      doi:10.1126/science.275.5306.1593

  18. Dopamine's contribution to reward-related behaviour cannot be reduced to the production of pleasurable experience

    Established

    What this does not assert: The anhedonia interpretation has been substantially revised rather than simply refuted.

    1. Wise, R. A. (2008) Dopamine and Reward: The Anhedonia Hypothesis 30 Years On

      Review · Neurotoxicity Research, 14(2–3) · 169–183

      A historical reassessment showing why dopamine cannot be treated straightforwardly as the pleasure signal it was once taken to be.

      doi:10.1007/BF03033808

    2. Berridge, K. C., Robinson, T. E. (2016) Liking, Wanting, and the Incentive-Sensitization Theory of Addiction

      Review · American Psychologist, 71(8) · 670–679

      Argues explicitly against equating dopamine with pleasure, and separates incentive motivation from hedonic experience.

      doi:10.1037/amp0000059

  19. The role of explicit contingency awareness in human learning varies across paradigms and measures and remains contested

    Established

    What this does not assert: Neither the presence nor the absence of awareness is definitional for reinforcement.

    1. Lovibond, P. F., Shanks, D. R. (2002) The Role of Awareness in Pavlovian Conditioning: Empirical Evidence and Theoretical Implications

      Review · Journal of Experimental Psychology: Animal Behavior Processes, 28(1) · 3–26

      A critical review showing that the role of contingency awareness in human learning varies with paradigm and measurement, and remains contested.

      doi:10.1037/0097-7403.28.1.3

  20. Dopamine participates in reward-related learning and motivational processes

    High confidence

    What this does not assert: Participation is not identity; dopamine is neither reward nor reinforcement nor pleasure.

    1. Schultz, W., Dayan, P., Montague, P. R. (1997) A Neural Substrate of Prediction and Reward

      Experimental article · Science, 275(5306) · 1593–1599

      Reward-prediction-error-like activity reported in particular midbrain dopamine populations under specific paradigms.

      doi:10.1126/science.275.5306.1593

    2. Wise, R. A. (2008) Dopamine and Reward: The Anhedonia Hypothesis 30 Years On

      Review · Neurotoxicity Research, 14(2–3) · 169–183

      A historical reassessment showing why dopamine cannot be treated straightforwardly as the pleasure signal it was once taken to be.

      doi:10.1007/BF03033808

Sources

  1. Thorndike, E. L. (1911) Animal Intelligence: Experimental Studies

    Book · Macmillan, New York

    The founding experimental treatment of learning through consequences of action, and the origin of the functional analysis of effect.

    Read the source

  2. Skinner, B. F. (1938) The Behavior of Organisms: An Experimental Analysis

    Book · Appleton-Century-Crofts, New York

    The systematic statement of reinforcement as a functional relation between behaviour and consequence rather than a property of the consequence itself.

    Read the source

  3. Premack, D. (1959) Toward Empirical Behavior Laws: I. Positive Reinforcement

    Theoretical article · Psychological Review, 66(4) · 219–233

    Reinforcing effectiveness treated as relational and condition-dependent rather than as a fixed property of a stimulus.

    doi:10.1037/h0040891

  4. Timberlake, W., Allison, J. (1974) Response Deprivation: An Empirical Approach to Instrumental Performance

    Theoretical article · Psychological Review, 81(2) · 146–164

    Reinforcing effectiveness shown to depend on current conditions and constraint rather than on the intrinsic desirability of an outcome.

    doi:10.1037/h0036101

  5. Berridge, K. C., Robinson, T. E., Aldridge, J. W. (2009) Dissecting Components of Reward: 'Liking', 'Wanting', and Learning

    Review · Current Opinion in Pharmacology, 9(1) · 65–73

    Reward-related wanting, hedonic liking and learning identified as dissociable components rather than one process.

    doi:10.1016/j.coph.2008.12.014

  6. Berridge, K. C., Robinson, T. E. (2016) Liking, Wanting, and the Incentive-Sensitization Theory of Addiction

    Review · American Psychologist, 71(8) · 670–679

    Argues explicitly against equating dopamine with pleasure, and separates incentive motivation from hedonic experience.

    doi:10.1037/amp0000059

  7. Schultz, W., Dayan, P., Montague, P. R. (1997) A Neural Substrate of Prediction and Reward

    Experimental article · Science, 275(5306) · 1593–1599

    Reward-prediction-error-like activity reported in particular midbrain dopamine populations under specific paradigms.

    doi:10.1126/science.275.5306.1593

  8. Wise, R. A. (2008) Dopamine and Reward: The Anhedonia Hypothesis 30 Years On

    Review · Neurotoxicity Research, 14(2–3) · 169–183

    A historical reassessment showing why dopamine cannot be treated straightforwardly as the pleasure signal it was once taken to be.

    doi:10.1007/BF03033808

  9. Lovibond, P. F., Shanks, D. R. (2002) The Role of Awareness in Pavlovian Conditioning: Empirical Evidence and Theoretical Implications

    Review · Journal of Experimental Psychology: Animal Behavior Processes, 28(1) · 3–26

    A critical review showing that the role of contingency awareness in human learning varies with paradigm and measurement, and remains contested.

    doi:10.1037/0097-7403.28.1.3

  10. Sutton, R. S., Barto, A. G. (2018) Reinforcement Learning: An Introduction (2nd edition)

    Book · MIT Press, Cambridge, MA

    The standard statement of computational reinforcement learning — historically connected to learning theory, but a formal framework distinct from the operant behavioural concept.

    Read the source

What this opens up

What becomes readable once you have this.

Where to go from here

Next published piece

Extinction Is New Learning

Why a learned response can disappear without its learning history being erased.

Continue through the Library →See where this sits in the graph →

Back to the Library →