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PSY FPX 7421 Assessment 3 Cognitive Psychology Theories Applied to Behavior Analysis

Name

Capella University

PSY FPX 7421 Cognitive/Affective Psychology

Prof. Name

Date

Applying Cognitive Psychology Theories to Behavior Analysis

In the professional realm of applied behavior analysis, integrating cognitive psychology theories is essential for addressing various workplace challenges effectively. These theories encompass problem-solving and creativity, decision-making and reasoning, as well as human and artificial intelligence. For practitioners in applied behavior analysis, especially those providing clinical services to individuals with autism, proficiency in utilizing these theories is crucial for effective collaboration with colleagues and clients. By harnessing these theories independently and collaboratively, professionals can enhance their capabilities and provide higher quality services.

Problem-Solving and Creativity

The study of problem-solving and creativity traces back to the 1920s with Gestalt psychologists, who observed humans’ tendency to employ insight to resolve challenges. Creativity, a complex concept, involves utilizing various abilities, properties, and behaviors to address problems. Divergent thinking, a crucial aspect of creativity, focuses on generating innovative solutions to vaguely defined problems. These theories are directly applicable to behavior analysis, with neuroscience suggesting connections between creativity and certain mental health conditions. Understanding these links can aid in tailoring interventions for diverse populations and addressing ethical dilemmas, such as respecting cultural beliefs while targeting specific objectives.

Decision-Making and Reasoning

Early philosophical discussions on decision-making and reasoning have evolved into modern cognitive science research, exploring factors influencing cognitive tasks like perception and memory recognition. Internal and external factors shape an individual’s thought process, influencing their decisions. Neuroscience research provides insights into decision-making processes, supporting theories applied across various domains, including consumer behavior and healthcare. Cultural differences further influence decision-making and reasoning processes, underscoring the importance of understanding diverse perspectives. Ethical considerations in decision-making involve ensuring competence in implementing behavior-change interventions and addressing errors promptly to safeguard clients’ well-being.

Human and Artificial Intelligence

Human intelligence, deeply rooted in human history, contrasts with the relatively recent emergence of artificial intelligence in the 1950s. Both forms of intelligence contribute to behavior change interventions and client support. Neuroscience research elucidates factors affecting human intelligence, including environmental, genetic, and physiological influences. Similarly, advancements in artificial intelligence draw from neuroscience findings to replicate human cognitive processes. Cultural beliefs and values shape perceptions of intelligence, influencing the acceptance and utilization of artificial intelligence. Ethical dilemmas related to intelligence involve practicing within one’s scope of competence, ensuring interventions align with evidence-based practices.

PSY FPX 7421 Assessment 3 Cognitive Psychology Theories Applied to Behavior Analysis

Conclusion

In the dynamic field of applied behavior analysis, professionals encounter daily challenges requiring swift and effective responses. Collaboration with interdisciplinary teams ensures comprehensive treatment approaches tailored to clients’ needs. By integrating evidence-based practices and cognitive psychology theories, such as problem-solving and creativity, decision-making and reasoning, and human and artificial intelligence, behavior analysts can deliver competent services and enhance clients’ overall quality of life.

References

Behavior Analyst Certification Board. (2020). Ethics code for behavior analysts. Littleton, CO: Author.

Busemeyer, J. R. (2015). Cognitive science contributions to decision science. Cognition, 135, 43-46.

Carson, S. (2014). Leveraging the “mad genius” debate: Why we need a neuroscience of creativity and psychopathology. Frontiers in Human Neuroscience, 8, 771

Condell, J., et al. (2010). Problem solving techniques in cognitive science. The Artificial Intelligence Review, 34(3), 221-234.

Deary, I. J., et al. (2010). The neuroscience of human intelligence differences. Nature Reviews Neuroscience, 11(3), 201-211.

Gibson, C., et al. (2009). Enhanced divergent thinking and creativity in musicians: A behavioral and near-infrared spectroscopy study. Brain and Cognition, 69(1), 162-169.

Hassabis, D., et al. (2017). Neuroscience-inspired artificial intelligence. Neuron (Cambridge, Mass.), 95(2), 245-258.

Jordanous, A., & Keller, B. (2016). Modelling creativity: Identifying key components through a corpus-based approach. PloS One, 11(10), e0162959.

PSY FPX 7421 Assessment 3 Cognitive Psychology Theories Applied to Behavior Analysis

Yoon, C., et al. (2012). Decision neuroscience and consumer decision making. Marketing Letters, 23(2), 473-485.

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