scholarly journals A COMPARISON OF THE EXPLANATORY PRACTICES OF MENTALISM AND BEHAVIOR ANALYSIS

2018 ◽  
Vol 13 (2) ◽  
Author(s):  
Jay Moore
Keyword(s):  
Behavior Analysis ◽  
Scientific Method ◽  
Causal Explanation ◽  
Conceptual Level ◽  
Behavior Analysts ◽  
Prediction And Control ◽  
Behavioral Domain ◽  
And Behavior ◽  
And Control ◽  
Key Words Behavior

Mentalism is an orientation to the causal explanation of behavior in which the causes are inferred to be unobservable structures from a non-behavioral domain. Typically, the structures are held to underlie behavior, and the domain is that of “mind.” In some but not all cases, mentalism subscribes to traditional psychophysical or substance dualism. Arguments that mental explanations are at the theoretical or conceptual level fail to consider the source of the explanation in question. Behavior analysts oppose mentalism on pragmatic, rather than ontological grounds: mentalism impedes a genuine science of behavior contributing to prediction and control by misleading scientists and inducing them to accept ineffective explanations of their subject matter. Key words: behavior analysis, explanation, mentalism, scientific method, theory, verbal behavior. 

scholarly journals BEHAVIOR ANALYSIS AND PRAGMATISM

2018 ◽  
Vol 13 (2) ◽  
Author(s):  
Jay Moore
Keyword(s):  
Service Delivery ◽  
Behavior Analysis ◽  
Effective Action ◽  
Levels Of Analysis ◽  
Psychological Concept ◽  
Behavior Analysts ◽  
Prediction And Control ◽  
And Behavior ◽  
And Control ◽  
Practical Implications

For pragmatism, the meaning of a psychological concept or statement is found in its practical implications for human affairs. Absent is any assumption that the concept or statement represents the Truth about a metaphysical Reality that lies beyond human experience and behavior. Behavior analysts embrace pragmatism, and argue that an important consideration in psychology is the degree to which a psychological concept or statement contributes to effective action in the laboratory or in service delivery. The effective action commonly takes the form of prediction and control. Keywords: pragmatism, prediction and control, mentalism, levels of analysis, neuroscience 

scholarly journals Advocating for the use of Restorative Justice Practices: Examining the Overlap Between Restorative Justice and Behavior Analysis

2021 ◽  
Author(s):  
Jeffrey Michael Pavlacic ◽  
Karen Kate Kellum ◽  
Stefan E. Schulenberg
Keyword(s):  
Behavior Analysis ◽  
Restorative Justice ◽  
Well Being ◽  
Resolution Process ◽  
Police Organizations ◽  
Current Review ◽  
Science Models ◽  
Behavior Analysts ◽  
Behavior Science ◽  
And Behavior

Broadly defined, Restorative Justice (RJ) is a set of procedures based in Indigenous peacemaking practices that reduces recidivism and guides the effective reparation of harm. RJ practices provide harm-affected parties an opportunity for engagement in the resolution process, which theoretically enhances community well-being. RJ practices overlap significantly with behavior-analytic principles. Implementing RJ practices from a context-focused, appetitive-based approach that focuses on classes of behaviors may address harmful behaviors within police organizations. RJ practices may also facilitate changes in contexts that support behaviors valued by the community. The current review discusses criminal and Restorative Justice, RJ processes and practices, the effectiveness of RJ in various contexts, how RJ overlaps with behavior-analytic principles and existing behavior science models more generally, research suggestions, and recommendations for behavior analysts implementing RJ within police organizations and communities to address officer misconduct.

scholarly journals Multiscale Patterning from Competing Interactions and Length Scales

2020 ◽  
Vol 50 (1) ◽  
pp. 207-227
Author(s):  
A.R. Bishop
Keyword(s):  
Scientific Method ◽  
Condensed Matter ◽  
Competing Interactions ◽  
Multiphysics Modeling ◽  
Length Scales ◽  
Societal Challenges ◽  
Challenges And Opportunities ◽  
Prediction And Control ◽  
And Control

We live in a research era marked by impressive new tools powering the scientific method to accelerate the discovery, prediction, and control of increasingly complex systems. In common with many disciplines and societal challenges and opportunities, materials and condensed matter sciences are beneficiaries. The volume and fidelity of experimental, computational, and visualization data available, and tools to rapidly interpret them, are remarkable. Conceptual frameworks, including multiscale, multiphysics modeling of this complexity, are fueled by the data and, in turn, guide directions for future experimental and computational strategies. In this spirit, I discuss the importance of competing interactions, length scales, and constraints as pervasive sources of spatiotemporal complexity. I use representative examples drawn from materials and condensed matter, including the important role of elasticity in some technologically important quantum materials.

scholarly journals Implementation of FxLMS Algorithm Based on Level-2 S-Function and Behavior Analysis

2011 ◽  
Vol 2-3 ◽  
pp. 640-644
Author(s):  
Feng Zhang ◽  
Yi Nong Li ◽  
Lei Wang
Keyword(s):  
Behavior Analysis ◽  
Active Vibration Control ◽  
Adaptive Method ◽  
Least Mean Square ◽  
Step Size ◽  
Fxlms Algorithm ◽  
Active Vibration ◽  
And Behavior ◽  
And Control ◽  
Level 2

Active vibration control use an active force from secondary path to suppress or attenuate periodic or quasi-periodic vibration and noises, one of the popular control algorithms is filtered-x least mean square (FxLMS) adaptive method. Based on structure of FxLMS algorithm, the paper uses Level-2 S-fun to create a new FxLMS blocks in Matlab/Simulink and apply it on vibration active control system simulator. Results of computer simulation showed the custom FxLMS block’s feasibility and control algorithm’s efficiency. On the condition of stabilization, behavior analysis was also taken out by adjusting the interior parameters, including the number of Weights and the Step size.

scholarly journals METHODOLOGICAL BEHAVIORISM

2018 ◽  
Vol 13 (2) ◽  
Author(s):  
Jay Moore
Keyword(s):  
Subject Matter ◽  
Scientific Method ◽  
Reaction Times ◽  
Radical Behaviorism ◽  
Mental Life ◽  
Verbal Reports ◽  
Methodological Behaviorism ◽  
New Science ◽  
Prediction And Control ◽  
And Control

Early approaches to psychology assumed that mental life was the appropriate subject matter of the new science, and that introspective verbal reports and reaction times were the appropriate methods to support inferences about that subject matter. The problem was that these early approaches were vague, unreliable, and generally ineffective. Methodological behaviorism arose as an attempt to deal with this problem by asserting that theories and explanations in psychology, as well as the concepts they deployed, should be agreed upon. The key to agreement was that psychologists should talk only about observables, although talk of mental unobservables was later permitted if they were designated as theoretical constructs that were operationally defined through their relation to observables. This later view remains prominent in traditional psychology. The radical behaviorism of B. F. Skinner’s behavior analysis offers an alternative based on a critical analysis of the behavioral sources of control over a given term. In particular, the radical behaviorist concept of private behavioral events provides a unified account of nature in behavioral terms. Key words: verbal behavior, methodological behaviorism, radical behaviorism, operationism, prediction and control, private behavioral events, covering law, scientific method 

Evidence-based practice in psychology and behavior analysis.

2006 ◽  
Vol 7 (3) ◽  
pp. 335-350 ◽  
Author(s):  
William O'Donohue ◽  
Kyle E. Ferguson
Keyword(s):  
Behavior Analysis ◽  
Evidence Based Practice ◽  
Evidence Based ◽  
And Behavior

An insight into Case Management and Challenges in Veteran Suicide Prevention

2020 ◽  
pp. 14-25
Author(s):  
Tamara Green
Keyword(s):  
Case Management ◽  
Suicide Prevention ◽  
Suicide Risk ◽  
Digital Transformation ◽  
Prevention Science ◽  
Historical Records ◽  
Military Members ◽  
Prediction And Control ◽  
And Control ◽  
Insight Into

Much of the literature, policies, programs, and investment has been made on mental health, case management, and suicide prevention of veterans. The Australian “veteran community is facing a suicide epidemic for the reasons that are extremely complex and beyond the scope of those currently dealing with them.” (Menz, D: 2019). Only limited work has considered the digital transformation of loosely and manual-based historical records and no enablement of Artificial Intelligence (A.I) and machine learning to suicide risk prediction and control for serving military members and veterans to date. This paper presents issues and challenges in suicide prevention and management of veterans, from the standing of policymakers to stakeholders, campaigners of veteran suicide prevention, science and big data, and an opportunity for the digital transformation of case management.

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