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Society For Quantitative Analysis Of Behavior
The Society for the Quantitative Analyses of Behavior was founded in 1978 by Michael Commons, Michael Lamport Commons and John Anthony Nevin. The first president was Richard Herrnstein, Richard J. Herrnstein. In the beginning it was called the Harvard Symposium on Quantitative Analysis of Behavior (HSQAB). This society meets once a year to discuss various topic in quantitative analysis of behavior including: behavioral economics, behavioral momentum, Connectionist systems or neural networks, hyperbolic discounting, foraging, errorless learning, learning and the Rescorla-Wagner model, matching law, Melioration theory, Melioration, scalar expectancy, Detection theory, signal detection and stimulus control, connectionism or Artificial neural network, Neural Networks. Mathematical models and data are presented and discussed. The field is a branch of mathematical psychology. Some papers resulting from the symposium are published as a special issue of the journal ''Behavioural Processes'' ...
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Michael Commons
Michael Lamport Commons (born 1939) is a theoretical behavioral scientist and a complex systems scientist. He developed the model of hierarchical complexity. Life and work Michael Lamport Commons was born in 1939 in Los Angeles and grew up in Hollywood. Commons holds two B.A.s from University of California at Los Angeles (UCLA), one in mathematics, the other in psychology. He earned his M.A., and M.Phil. and in 1973 received his Ph.D., in psychology from Columbia University. Currently, he is Assistant Clinical Professor, Department of Psychiatry at Beth Israel Deaconess Medical Center (a teaching hospital of Harvard Medical School), and Director of the Dare Institute, Cambridge, Massachusetts. His research interest is the quantitative analysis of psychological reality as it develops across the life span. With Francis Asbury Richards, Edward Trudeau, and Alexander Pekker, he developed the model of hierarchical complexity, a mathematical psychology model. He is one of the co ...
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Matching Law
In operant conditioning, the matching law is a quantitative relationship that holds between the relative rates of response and the relative rates of reinforcement in concurrent schedules of reinforcement. For example, if two response alternatives A and B are offered to an organism, the ratio of response rates to A and B equals the ratio of reinforcements yielded by each response.Poling, A., Edwards, T. L., Weeden, M., & Foster, T. (2011). The matching law. ''Psychological Record'', 61(2), 313-322. This law applies fairly well when non-human subjects are exposed to concurrent reinforcement, variable interval schedules (but see below); its applicability in other situations is less clear, depending on the assumptions made and the details of the experimental situation. The generality of applicability of the matching law is subject of current debate. The matching law can be applied to situations involving a single response maintained by a single schedule of reinforcement if one assumes t ...
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Psychology Organizations Based In The United States
Psychology is the scientific study of mind and behavior. Its subject matter includes the behavior of humans and nonhumans, both consciousness, conscious and Unconscious mind, unconscious phenomena, and mental processes such as thoughts, feelings, and motivation, motives. Psychology is an academic discipline of immense scope, crossing the boundaries between the Natural science, natural and social sciences. Biological psychologists seek an understanding of the Emergence, emergent properties of brains, linking the discipline to neuroscience. As social scientists, psychologists aim to understand the behavior of individuals and groups.Hockenbury & Hockenbury. Psychology. Worth Publishers, 2010. A professional practitioner or researcher involved in the discipline is called a psychologist. Some psychologists can also be classified as Behavioural sciences, behavioral or Cognitive science, cognitive scientists. Some psychologists attempt to understand the role of mental functions in i ...
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Behavioural Processes
''Behavioural Processes'' is a monthly peer-reviewed scientific journal covering the field of ethology. It was established in 1976 and is published by Elsevier. The editors-in-chief are Johan J. Bolhuis (Utrecht University) and Olga Lazareva (Drake University). According to the ''Journal Citation Reports'', the journal has a 2022 impact factor The impact factor (IF) or journal impact factor (JIF) of an academic journal is a type of journal ranking. Journals with higher impact factor values are considered more prestigious or important within their field. The Impact Factor of a journa ... of 1.3. References External links * English-language journals Academic journals established in 1976 Monthly journals Ethology journals Elsevier academic journals {{Ethology-stub ...
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Mathematical Psychology
Mathematical psychology is an approach to psychology, psychological research that is based on mathematical modeling of perceptual, thought, Cognition, cognitive and motor processes, and on the establishment of law-like rules that relate quantifiable stimulus characteristics with quantifiable behavior (in practice often constituted by task performance). The mathematical approach is used with the goal of deriving Hypothesis, hypotheses that are more exact and thus yield stricter empirical validations. There are five major research areas in mathematical psychology: learning and memory, perception and psychophysics, choice and decision-making, language and Thought, thinking, and measurement and Feature scaling, scaling. Although psychology, as an independent subject of science, is a more recent discipline than physics, the application of mathematics to psychology has been done in the hope of emulating the success of this approach in the Physical Sciences, physical sciences, which dat ...
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Artificial Neural Network
In machine learning, a neural network (also artificial neural network or neural net, abbreviated ANN or NN) is a computational model inspired by the structure and functions of biological neural networks. A neural network consists of connected units or nodes called '' artificial neurons'', which loosely model the neurons in the brain. Artificial neuron models that mimic biological neurons more closely have also been recently investigated and shown to significantly improve performance. These are connected by ''edges'', which model the synapses in the brain. Each artificial neuron receives signals from connected neurons, then processes them and sends a signal to other connected neurons. The "signal" is a real number, and the output of each neuron is computed by some non-linear function of the sum of its inputs, called the '' activation function''. The strength of the signal at each connection is determined by a ''weight'', which adjusts during the learning process. Typically, ne ...
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Connectionism
Connectionism is an approach to the study of human mental processes and cognition that utilizes mathematical models known as connectionist networks or artificial neural networks. Connectionism has had many "waves" since its beginnings. The first wave appeared 1943 with Warren Sturgis McCulloch and Walter Pitts both focusing on comprehending neural circuitry through a formal and mathematical approach, and Frank Rosenblatt who published the 1958 paper "The Perceptron: A Probabilistic Model For Information Storage and Organization in the Brain" in ''Psychological Review'', while working at the Cornell Aeronautical Laboratory. The first wave ended with the 1969 book about the limitations of the original perceptron idea, written by Marvin Minsky and Seymour Papert, which contributed to discouraging major funding agencies in the US from investing in connectionist research. With a few noteworthy deviations, most connectionist research entered a period of inactivity until the mid-1980 ...
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Stimulus Control
In behavioral psychology, stimulus control is a phenomenon in operant conditioning that occurs when an organism behaves in one way in the presence of a given Stimulus (psychology), stimulus and another way in its absence. A stimulus that modifies behavior in this manner is either a wikt:discriminative stimulus, discriminative stimulus or wikt:stimulus delta, stimulus delta. For example, the presence of a stop sign at a traffic intersection alerts the driver to stop driving and increases the probability that braking behavior occurs. Stimulus control does not force behavior to occur, as it is a direct result of historical reinforcement three-term contingency, contingencies, as opposed to reflexive behavior elicited through classical conditioning. Some theorists believe that all behavior is under some form of stimulus control. For example, in the analysis of B. F. Skinner, Verbal Behavior, verbal behavior is a complicated assortment of behaviors with a variety of controlling stimuli. ...
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Detection Theory
Detection theory or signal detection theory is a means to measure the ability to differentiate between information-bearing patterns (called stimulus in living organisms, signal in machines) and random patterns that distract from the information (called noise, consisting of background stimuli and random activity of the detection machine and of the nervous system of the operator). In the field of electronics, signal recovery is the separation of such patterns from a disguising background. According to the theory, there are a number of determiners of how a detecting system will detect a signal, and where its threshold levels will be. The theory can explain how changing the threshold will affect the ability to discern, often exposing how adapted the system is to the task, purpose or goal at which it is aimed. When the detecting system is a human being, characteristics such as experience, expectations, physiological state (e.g. fatigue) and other factors can affect the threshold app ...
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Scalar Expectancy
The scalar timing or scalar expectancy theory (SET) is a model of the processes that govern behavior controlled by time. The model posits an internal clock, and particular memory and decision processes. SET is one of the most important models of animal timing behavior. History John Gibbon originally proposed SET to explain the temporally controlled behavior of non-human subjects. He initially used the model to account for a pattern of behavior seen in animals that are being reinforced at fixed-intervals, for example every 2 minutes. An animal that is well trained on such a fixed-interval schedule pauses after each reinforcement and then suddenly starts responding about two-thirds of the way through the new interval. (See operant conditioning) The model explains how the animal's behavior is controlled by time in this manner. Gibbon and others later elaborated the model and applied it to a variety of other timing phenomena. Summary of the model SET assumes that the animal has a cl ...
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Melioration Theory
Melioration theory in behavioral psychology is a theoretical algorithm that predicts the matching law. Melioration theory is used as an explanation for why an organism makes choices based on the rewards or reinforcers it receives. The principle of melioration states that animals will invest increasing amounts of time and/or effort into whichever alternative is better. To meliorate essentially means to "make better".Mazur, James E. Learning and Behavior (6th ed.) Upper Saddle River NJ: 2006 p. 332-335 Melioration theory accounts for many of the choices that organisms make when presented with two variable interval schedules. Melioration is a form of matching where the subject is constantly shifting its behavior from the poorer reinforcement schedule to the richer reinforcement schedule, until it is spending most of its time at the richest variable interval schedule. By matching, the subject is equalizing the price of the reinforcer they are working for. This is also called hyperbolic ...
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