- "Operant" redirects here. For the meaning of operant, see Operant.
Operant conditioning is the use of consequences to modify the occurrence and form of behavior. Operant conditioning is distinguished from Pavlovian conditioning in that operant conditioning deals with the modification of "voluntary behavior" through the use of consequences, while Pavlovian conditioning
deals with the conditioning of behavior so that it occurs under new antecedent
conditions.[1]
Reinforcement, punishment, and extinction
Reinforcement and punishment, the core tools of
operant conditioning, are either positive (delivered following a response), or negative (withdrawn following a response). This
creates a total of four basic consequences, with the addition of a fifth procedure known as extinction (i.e. no change in consequences following a response).
It's important to note that organisms are not spoken of as being reinforced, punished, or extinguished; it is the response
that is reinforced, punished, or extinguished. Additionally, reinforcement, punishment, and extinction are not terms whose use
are restricted to the laboratory. Naturally occurring consequences can also be said to reinforce, punish, or extinguish behavior
and are not always delivered by people.
- Reinforcement is a consequence that causes a behavior to occur with greater
frequency.
- Punishment is a consequence that causes a behavior to occur with less
frequency.
- Extinction is the lack of any consequence following a response. When
a response is inconsequential, producing neither favorable nor unfavorable consequences, it will occur with less frequency.
Four contexts of operant conditioning: Here the terms "positive" and "negative" are not used in their
popular sense, but rather: "positive" refers to addition, and "negative" refers to subtraction. What is added or
subtracted may be either reinforcement or punishment. Hence positive punishment is sometimes a confusing term, as it
denotes the addition of punishment (such as spanking or an electric shock), a context that may seem very negative in the lay
sense. The four procedures are:
- Positive reinforcement occurs when a behavior (response) is followed by a favorable stimulus (commonly seen as
pleasant) that increases the frequency of that behavior. In the Skinner box experiment, a stimulus such as food or sugar solution
can be delivered when the rat engages in a target behavior, such as pressing a lever.
- Negative reinforcement occurs when a behavior (response) is followed by the removal of an aversive stimulus (commonly
seen as unpleasant) thereby increasing that behavior's frequency. In the Skinner box experiment, negative reinforcement can be a
loud noise continuously sounding inside the rat's cage until it engages in the target behavior, such as pressing a lever, upon
which the loud noise is removed.
- Positive punishment (also called "Punishment by contingent stimulation") occurs when a behavior (response) is followed
by an aversive stimulus, such as introducing a shock or loud noise, resulting in a decrease in that behavior.
- Negative punishment (also called "Punishment by contingent withdrawal") occurs when a behavior (response) is followed
by the removal of a favorable stimulus, such as taking away a child's toy following an undesired behavior, resulting in a
decrease in that behavior.
Also:
- Avoidance learning is a type of learning in which a certain behavior results in the cessation of an aversive stimulus.
For example, performing the behavior of shielding one's eyes when in the sunlight (or going indoors) will help avoid the
punishment of having light in one's eyes.
- Extinction occurs when a behavior (response) that had previously been reinforced is no longer effective. In the
Skinner box experiment, this is the rat pushing the lever and being rewarded with a food pellet several times, and then pushing
the lever again and never receiving a food pellet again. Eventually the rat would cease pushing the lever.
- Non-contingent Reinforcement is a procedure that decreases the frequency of a behavior by both reinforcing alternative
behaviors and extinguishing the undesired behavior. Since the alternative behaviors are reinforced, they increase in frequency
and therefore compete for time with the undesired behavior.
Operant conditioning, sometimes called instrumental conditioning or instrumental learning, was first extensively
studied by Edward L. Thorndike (1874-1949), who observed the behavior of cats trying to
escape from home-made puzzle boxes.[2] When first
constrained in the boxes, the cats took a long time to escape. With experience, ineffective responses occurred less frequently
and successful responses occurred more frequently, enabling the cats to escape in less time over successive trials. In his
Law of Effect, Thorndike theorized that successful responses, those producing
satisfying consequences, were "stamped in" by the experience and thus occurred more frequently. Unsuccessful responses,
those producing annoying consequences, were stamped out and subsequently occurred less frequently. In short, some
consequences strengthened behavior and some consequences weakened behavior. B.F.
Skinner (1904-1990) formulated a more detailed analysis of operant conditioning based on reinforcement, punishment, and
extinction. Following the ideas of Ernst Mach, Skinner rejected Thorndike's mediating
structures required by "satisfaction" and constructed a new conceptualization of behavior without any such references. Moreover,
Thorndike's work with puzzle boxes produced no meaningful data to be studied other than a measure of escape times. So while
experimenting with some homemade feeding mechanisms Skinner invented the operant
conditioning chamber which allowed him to measure rate of response as a key dependent variable using a cumulative record
of lever presses or key pecks.[3]
Operant Conditioning vs Fixed Action Patterns
Skinner's construct of instrumental learning is contrasted with what Nobel Prize winning biologist Konrad Lorenz termed "fixed action patterns," or reflexive, impulsive, or instinctive behaviors. These
behaviors were said by Skinner and others to exist outside the parameters of operant conditioning but were considered essential
to a comprehensive analysis of behavior.
In dog training, the use of the prey drive, particularly in training working dogs,
detection dogs, etc., the stimulation of these fixed action patterns, relative to the dog's predatory instincts, are the key to
producing very difficult yet consistent behaviors, and in most cases, do not involve operant, classical, or any other kind of conditioning.[citation needed] While evolutionary processes shaped these fix action patterns, the patterns
themselves remained stable long enough to be shaped by the long time span necessary for evolution because of their survival
function (i.e., operant conditioning).
According to the laws of operant conditioning, any behavior that is consistently rewarded, every single time, will extinguish
at a faster rate while intermittently reinforcing behavior leads to more stable rates of behavior that are relatively more
resistant to extinction. Thus, in detection dogs, any correct behavior of indicating a "find," must always be rewarded with a tug
toy or a ball throw early on for initial acquisition of the behavior. Thereafter, fading procedures, in which the rate of
reinforcement is "thinned" (not every response is reinforced)are introduced, switching the dog to an intermittent schedule of
reinforcement, which is more resistant to instances of non-reinforcement.
Nevertheless, some trainers are now using the prey drive to train pet dogs and find that they get far better results in the
dogs' responses to training than when they only use the principles of operant conditioning[citation needed] which, according to Skinner and his
students Keller and Marian Breland (who
invented clicker training), break down when strong instincts are at play.[4]
Criticisms
Thorndike's law of effect specifically requires that a behavior be followed by satisfying consequences for learning to occur.
There are, however, cases in which learning can be shown to occur without good or bad effects following the behavior. For
instance, a number of experiments examining the phenomenon of latent learning[5][6][7][8] showed that a rat needn't receive a satisfying reward (food, if hungry; water, if
thirsty) in order to learn a maze; learning that becomes apparent immediately after the desired reward is introduced.
A different experiment, in humans, showed that punishing the correct behavior may actually cause it to be more frequently
taken (i.e. stamp it in)[9]. Subjects are given a number of
pairs of holes on a large board and required to learn which hole to poke a stylus through for each pair. If the subjects receive
an electric shock for punching the correct hole, they learn which hole is correct more quickly than subjects who receive an
electric shock for punching the incorrect hole.
Biological correlates of operant conditioning
The first scientific studies identifying neurons that responded in ways that suggested they encode for conditioned stimuli
came from work by Rusty Richardson and Mahlon deLong.[10][11] They showed that nucleus
basalis neurons, which release acetylcholine broadly throughout the cerebral cortex, are activated shortly after a conditioned stimulus, or after a primary reward if no
conditioned stimulus exists. These neurons are equally active for positive and negative reinforcers, and have been demonstrated
to cause plasticity in many cortical regions.[12]
Evidence also exists that dopamine is activated at similar times. The dopamine pathways
encode positive reward only, not aversive reinforcement, and they project much more densely onto frontal cortex regions.
Cholinergic projections, in contrast, are dense even in the posterior cortical regions like the primary visual cortex. A study of
patients with Parkinson's disease, a condition attributed to the insufficient action of dopamine, further illustrates the role of
dopamine in positive reinforcement.[13] It showed that
while off their medication, patients learned more readily with aversive consequences than with positive reinforcement. Patients
who were on their medication showed the opposite to be the case, positive reinforcement proving to be the more effective form of
learning when the action of dopamine is high.
Factors that alter the effectiveness of consequences
When using consequences to modify a response, the effectiveness of a consequence can be increased or decreased by various
factors. These factors can apply to either reinforcing or punishing consequences.
- Satiation: The effectiveness of a consequence will be reduced if the individual's "appetite" for that source of
stimulation has been satisfied. Inversely, the effectiveness of a consequence will increase as the individual becomes deprived of
that stimulus. If someone is not hungry, food will not be an effective reinforcer for behavior.
- Immediacy: After a response, how immediately a consequence is then felt determines the effectiveness of the
consequence. More immediate feedback will be more effective than less immediate feedback. If someone's license plate is caught by
a traffic camera for speeding and they receive a speeding ticket in the mail a week later, this consequence will not be very
effective against speeding. But if someone is speeding and is caught in the act by an officer who pulls them over, then their
speeding behavior is more likely to be affected.
- Contingency: If a consequence does not contingently (reliably, or consistently) follow the target response, its
effectiveness upon the response is reduced. But if a consequence follows the response reliably after successive instances, its
ability to modify the response is increased. If someone has a habit of getting to work late, but is only occasionally reprimanded
for their lateness, the reprimand will not be a very effective punishment.
- Size: This is a "cost-benefit" determinant of whether a consequence will be effective. If the size, or amount, of the
consequence is large enough to be worth the effort, the consequence will be more effective upon the behavior. An unusually large
lottery jackpot, for example, might be enough to get someone to buy a one-dollar lottery ticket (or even buying multiple
tickets). But if a lottery jackpot is small, the same person might not feel it to be worth the effort of driving out and finding
a place to buy a ticket. In this example, it's also useful to note that "effort" is a punishing consequence. How these opposing
expected consequences (reinforcing and punishing) balance out will determine whether the behavior is performed or not.
Most of these factors exist for biological reasons. The biological purpose of the Principle of Satiation is to maintain the
organism's homeostasis. When an organism has been deprived of sugar, for example, the
effectiveness of the taste of sugar as a reinforcer is high. However, as the organism reaches or exceeds their optimum
blood-sugar levels, the taste of sugar becomes less effective, perhaps even aversive.
The principles of Immediacy and Contingency exist for neurochemical reasons. When an organism experiences a reinforcing
stimulus, dopamine pathways in the brain are activated. This network of pathways "releases a
short pulse of dopamine onto many dendrites, thus broadcasting a rather global reinforcement
signal to postsynaptic neurons."[14] This makes recently
activated synapses able to increase their sensitivity to efferent signals, hence increasing the probability of occurrence for the
recent responses preceding the reinforcement. These responses are, statistically, the most likely to have been the behavior
responsible for successfully achieving reinforcement. But when the application of reinforcement is either less immediate or less
contingent (less consistent), the ability of dopamine to act upon the appropriate synapses is reduced.
Operant variability
Operant variability is what allows a response to adapt to new situations. Operant behavior is distinguished from reflexes in
that its response topography (the form of the response) is subject to slight variations from one performance to another.
These slight variations can include small differences in the specific motions involved, differences in the amount of force
applied, and small changes in the timing of the response. If a subject's history of reinforcement is consistent, such variations
will remain stable because the same successful variations are more likely to be reinforced than less successful variations.
However, behavioral variability can also be altered when subjected to certain controlling variables.[15]
An extinction burst will often occur when an extinction procedure has just begun. This consists of a sudden and
temporary increase in the response's frequency , followed by the eventual decline and extinction of the behavior targeted
for elimination. Take, as an example, a pigeon that has been reinforced to peck an electronic button. During its training
history, every time the pigeon pecked the button, it will have received a small amount of bird seed as a reinforcer. So, whenever
the bird is hungry, it will peck the button to receive food. However, if the button were to be turned off, the hungry pigeon will
first try pecking the button just as it has in the past. When no food is forthcoming, the bird will likely try again... and
again, and again. After a period of frantic activity, in which their pecking behavior yields no result, the pigeon's pecking will
decrease in frequency.
The evolutionary advantage of this extinction burst is clear. In a natural environment, an animal that persists in a
learned behavior, despite not resulting in immediate reinforcement, might still have a chance of producing reinforcing
consequences if they try again. This animal would be at an advantage over another animal that gives up too easily.
Extinction-induced variability serves a similar adaptive role. When extinction begins, and if the environment allows
for it, an initial increase in the response rate is not the only thing that can happen. Imagine a bell curve. The horizontal axis would represent the different variations possible for a given behavior. The
vertical axis would represent the response's probability in a given situation. Response variants in the middle of the bell curve,
at its highest point, are the most likely because those responses, according to the organism's experience, have been the most
effective at producing reinforcement. The more extreme forms of the behavior would lie at the lower ends of the curve, to the
left and to the right of the peak, where their probability for expression is low.
A simple example would be a person inside a room opening a door to exit. The response would be the opening of the door, and
the reinforcer would be the freedom to exit. For each time that same person opens that same door, they do not open the door in
the exact same way every time. Rather, each time they open the door a little differently: sometimes with less force, sometimes
with more force; sometimes with one hand, sometimes with the other hand; sometimes more quickly, sometimes more slowly. Because
of the physical properties of the door and its handle, there is a certain range of successful responses which are reinforced.
Now imagine in our example that the subject tries to open the door and it won't budge. This is when extinction-induced
variability occurs. The bell curve of probable responses will begin to broaden, with more extreme forms of behavior becoming
more likely. The person might now try opening the door with extra force, repeatedly twist the knob, try to hit the door with
their shoulder, maybe even call for help or climb out a window. This is how extinction causes variability in behavior, in the
hope that these new variations might be successful. For this reason, extinction-induced variability is an important part
of the operant procedure of shaping.
Avoidance learning
Avoidance training belongs to negative reinforcement schedules. The subject learns that a certain response will result in the
termination or prevention of an aversive stimulus. There are two kinds of commonly used experimental settings: discriminated and
free-operant avoidance learning.
Discriminated avoidance learning
- In discriminated avoidance learning, a novel stimulus such as a light or a tone is followed by an aversive stimulus such as a
shock (CS-US, similar to classical conditioning). During the first trials (called escape-trials) the animal usually experiences
both the CS and the US, showing the operant response to terminate the aversive US. By the time, the animal will learn to perform
the response already during the presentation of the CS thus preventing the aversive US from occurring. Such trials are called
avoidance trials.
Free-operant avoidance learning
- In this experimental session, no discrete stimulus is used to signal the occurrence of the aversive stimulus. Rather, the
aversive stimulus (mostly shocks) are presented without explicit warning stimuli.
- There are two crucial time intervals determining the rate of avoidance learning. This first one is called the S-S-interval
(shock-shock-interval). This is the amount of time which passes during successive presentations of the shock (unless the operant
response is performed). The other one is called the R-S-interval (response-shock-interval) which specifies the length of the time
interval following an operant response during which no shocks will be delivered. Note that each time the organism performs the
operant response, the R-S-interval without shocks begins newly.
Two-process theory of avoidance
This theory was originally established to explain learning in discriminated avoidance learning. It assumes two processes to
take place . a) Classical conditioning of fear During the first trials of the training, the organism experiences both CS
and aversive US(escape-trials). The theory assumed that during those trials classical conditioning takes places by pairing the CS
with the US. Because of the aversive nature of the US the CS is supposed to elicit a conditioned emotional reaction (CER) - fear.
In classical conditioning, presenting a CS conditioned with an aversive US disrupts the organism's ongoing behavior. b)
Reinforcement of the operant response by fear-reduction Because during the first process, the CS signaling the aversive US
has itself become aversive by eliciting fear in the organism, reducing this unpleasant emotional reaction serves to motivate the
operant response. The organism learns to make the response during the CS thus terminating the aversive internal reaction elicited
by the CS. An important aspect of this theory is that the term "Avoidance" does not really describe what the organism is doing.
It does not "avoid" the aversive US in the sense of anticipating it. Rather the organism escapes an aversive internal state,
caused by the CS.
- One of the practical aspects of operant conditioning with relation to animal
training is the use of shaping (reinforcing successive approximations and not reinforcing behavior past approximating), as
well as chaining.
Verbal Behavior
-
In 1957 Skinner published Verbal Behavior a theoretical extension of the work
he had pioneered since 1938. This work extended the theory of operant conditioning to human behavior previously assigned to the
areas of language, linguistics and other areas. Verbal Behavior is the logical extension of Skinner's ideas, in which he
introduced new functional relationship categories such as intraverbals, autoclitics, mands, tacts and the controlling
relationship of the audience. All of these relationships were based on operant conditioning and relied on no new mechanisms
despite the introduction of new functional categories.
Four term contingency
Modern behavior analysis, which is the name of the discipline directly descended from Skinner's work, holds that behavior is
explained in four terms: an establishing operation (EO), a discriminative stimulus (Sd), a response (R), and a
reinforcing stimulus (Srein or Sr for reinforcers, sometimes Save for aversive stimuli).[16]
Operant Hoarding
Operant Hording is a term referring to the choice made by a rat, on a compound schedule
called a multiple schedule, that maximizes its rate of reinforcement in an operant conditioning context. More specifically,
rats were shown to have allowed food pellets to accumulate in a food tray by continuing to press a lever on a continuous reinforcement schedule instead of retrieving those pellets. Retrieval of the pellets always
instituted a one-minute period of extinction during which no additional food pellets were
available but those that had been accumulated earlier could be consumed. This finding appears to contradict the usual finding
that rats behave impulsively in situations in which there is a choice between a smaller food object right away and a larger food
object after some delay. See schedules of reinforcement. [17]
See also
References
- ^ The Principles of Learning and Behavior, Fifth Edition, Ed. Michael
Domjan
- ^ Thorndike, E. L. (1901). Animal intelligence: An experimental study of the
associative processes in animals. Psychological Review Monograph Supplement, 2, 1-109.
- ^ Mecca Chiesa (2004) Radical Behaviorism: the philosophy and the
science
- ^ Breland, Keller & Breland, Marian (1961), The Misbehavior of Organisms,
American Psychologist.
- ^ Williams KA. 1924. The reward value of a conditioned stimulus. Univ Calif
Publ Psychol. 4:31-55.
- ^ Blodgett HC. 1929. The effect of the introduction of reward upon the maze
performance of rats. Univ Calif Publ Psychol. 4:113-134.
- ^ Elliott MH. 1929. The effect of appropriateness of reward and of complex
incentives on maze performance. Univ Calif Publ Psychol. 4:91-98.
- ^ Tolman EC, Honzik CH. 1930. Introduction and removal of reward and maze
performance in rats. Univ Calif Publ Psychol. 4:257-275.
- ^ Tolman EC. 1932. Purposive Behavior in Animals and Men. Meredith Publishing
Company.
- ^ [J. Neurophysiol. 34:414-27, 1971]
- ^ [Advances Exp. Medicine Biol. 295:233-53 1991]
- ^ [PNAS 93:11219-24 1996, Science 279:1714-8 1998]
- ^ Michael J. Frank, Lauren C. Seeberger, and Randall C. O'Reilly (2004) "By
Carrot or by Stick: Cognitive Reinforcement Learning in Parkinsonism," Science 4, November 2004
- ^ Schultz, Wolfram (1998). Predictive Reward Signal of Dopamine Neurons.
The Journal of Neurophysiology, 80(1), 1-27.
- ^ Neuringer, A. (2002). Operant variability: evidence, functions, and
theory. Psychonometric Bulletin & Review, Vol. 9, No. 4.
- ^ Pierce & Cheney (2004) Behavior Analysis and Learning
- ^ Cole, M.R. (1990). Operant hoarding: A new paradigm for the study of
self-control. Journal of the Experimental Analysis of Behavior, 53, 247-262.
Further reading
External links
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