respondent conditioning
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2021 ◽  
pp. 2-17
Author(s):  
Richard W. Malott ◽  
Kelly T. Kohler

Author(s):  
Mansi J. Shah ◽  
Michael L. Commons ◽  
William J. Harrigan

The Model of Hierarchical Complexity is a behavioral model of development and evolution of the complexity of behavior. It is based on task analysis. Tasks are ordered in terms of their hierarchical complexity, which is an ordinal scale that measures difficulty. The hierarchical difficulty of tasks is categorized as the order of hierarchical complexity. Successful performance on a task is called the behavioral stage. This model can be applied to non-human animals, and humans. Using data from some of the simplest animals and also somewhat more complex ones, this analysis describes the four lowest behavioral stages and illustrate them using the behaviors of a range of simple organisms. For example, Stage 1 tasks, and performance on them, are addressed with automatic unconditioned responses. Behavior at this Stage includes sensing, tropisms, habituation and, other automatic behaviors. Single cell organisms operate at this Stage. Stage 2 tasks include these earlier behaviors, but also include respondent conditioning but not operant conditioning. Animals such as some simple invertebrates have shown respondent conditioning, but not operant conditioning. Stage 3 tasks coordinate three instances of these earlier tasks to make possible operant conditioning. These stage 3 performances are similar to those of some invertebrates and also insects. Stage 4 tasks organisms coordinate 2 or more circular sensory-motor task actions into a superordinate “concept”. This explanation of the early stages of the Model of Hierarchical Complexity may help future research in animal behavior, and comparative psychology.


Author(s):  
Michael L. Commons ◽  
Patrice M. Miller ◽  
Simran Malhotra ◽  
Shutong Wei

Neural Networks may be made much faster and more efficient by reducing the amount of memory and computation used. In this paper, a new type of neural network called an Adaptive Neural Network is introduced. The proposed neural network is comprised of five unique pairings of events. Each pairing is a module and the modules are connected within a single neural network. The pairings are a simulation of respondent conditioning. The simulations do not necessarily represent conditioning in actual organisms. In the theory presented here, the pairings in respondent conditioning become aggregated together to form a basis for operant conditioning. The specific pairings are as follows. The first pairing is between the reinforcer and the neural stimulus that elicits the behavior. This pairing strengthens and makes salient that eliciting neural stimulus. The second pairing is that of the now salient neural stimulus with the external environmental stimulus that precedes the operant behavior. The third is the pairing of the environmental stimulus event with the reinforcing stimulus. The fourth is the pairing of the stimulus elicited by the drive with the reinforcement event, changing the strength of the reinforcer. The fifth pairing is that after repeated exposure the external environmental stimulus is paired with the drive stimulus. This drive stimulus is generated by an intensifying drive. Within each module, a “0” means no occurrence of a pairing A of Stimuli A and a “1” means an occurrence of a pairing A of Stimuli A. Similarly, a “0” means no occurrence of a pairing Band a “1” means an occurrence of a pairing B, and so on for all 5 pairings. To obtain an output one multiplies the values of pairings through E. In one trial or instance, all 5 pairings will occur. The results of the multiplications are then accumulated and divided by the number of instances. The use of these simple respondent pairings as a basis for neural networks reduces errors. Examples of problems that may be addressable by such networks are included.


2017 ◽  
Author(s):  
Toby Laine Martin

The effects of response-independent mirror presentation schedules on the swimming behaviour of Betta splendens were studied in two experiments. In experiment 1, four fish received alternating baseline (no mirror) and fixed-time (FT) 2-min or variable-time (VT) 2-min mirror presentation conditions. Two fish consistently showed increased rates of mirror-side lap-swimming (MSLS; a back-and-forth swimming pattern) and decreased distance from the mirror during the inter-stimulus intervals (ISIs) of FT and VT sessions, and during baseline sessions that followed FT and VT phases. Data from one fish indicated that a VT schedule might increase both proximity to the mirror and MSLS rates that have decreased on FT. Therefore, in experiment 2 three fish from experiment 1 received alternating FT and VT conditions. Proximity to the mirror and MSLS rates increased during VT phases relative to FT phases in two fish, though effects were small and did not occur across all alternations. Additional findings were that MSLS during ISIs tended to increase within FT phases, that MSLS generally occurred either at a steady rate within ISIs or showed a scalloped effect, that mirror presentations produced approach to the mirror side that persisted during ISIs and subsequent baseline phases, and that mirror-side distance during the mirror presentations was less than during the ISIs. Although the findings were not consistent across all fish, they were replicated a number of times within at least two of the fish. The findings are discussed in terms of adventitious operant conditioning, respondent conditioning, and the behaviour systems approach. The results of this study increase the generality of response-independent schedule effects on locomotive behaviour.


2017 ◽  
pp. 19
Author(s):  
Steven Wade Payne ◽  
Kian S Assemi

A common problem behavior in animal shelters is excessive noise from barking, which can regularly exceed 100dBs.  Noise levels in animal shelters are correlated with increased stress in dogs, which may lead to increased problem behavior and a decrease in adoption.  The purpose of the current study was to evaluate the use of respondent conditioning procedures to reduce barking noise level in an animal shelter by pairing a door chime with edible items.  Following a baseline and neutral stimulus phase, the door chime was paired with edible items over a period of three weeks.  Following this pairing phase, the pairing was stopped to determine if the door chime would act as a conditioned stimulus and reduce barking.  These procedures were replicated following an additional baseline phase.  Overall, the procedure was effective in reducing the noise level of the kennel area as compared to baseline levels. Implications and future research areas are discussed.   


2017 ◽  
pp. 63-95
Author(s):  
W. David Pierce ◽  
Carl D. Cheney

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