Existential And Cognitive Psychology Notes PDF

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InventiveNeptunium

Uploaded by InventiveNeptunium

Texas State University

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psychology cognitive psychology existential psychology humanistic psychology

Summary

These notes cover key concepts in existential and cognitive psychology. Topics include Heidegger's concept of Dasein and thrownness, May's theory of anxiety and guilt, Maslow's hierarchy of needs, Piaget's concept of schemas, and Turing's imitation game.

Full Transcript

**Chapter 17: Existential Psychology / Humanistic Psychology** 1. **Heidegger's Concept of Dasein and Thrownness**: - **Dasein**: Refers to \"being there,\" emphasizing the unique way humans exist by being aware of and questioning their existence. - **Thrownness**: Th...

**Chapter 17: Existential Psychology / Humanistic Psychology** 1. **Heidegger's Concept of Dasein and Thrownness**: - **Dasein**: Refers to \"being there,\" emphasizing the unique way humans exist by being aware of and questioning their existence. - **Thrownness**: The aspects of life one cannot control, like birth circumstances or historical context, shaping individual existence and choices. - Relationship: Thrownness highlights the constraints within which Dasein makes choices, underscoring the tension between freedom and limitation. 2. **May's Theory: Anxiety and Guilt**: - **Anxiety**: Arises from threats to one's values or existence. - **Normal Anxiety**: Proportionate to the situation, fosters growth. - **Neurotic Anxiety**: Disproportionate and immobilizing, impedes growth. - **Guilt**: Results from failure to act authentically or fulfill potential. - May links guilt and anxiety as interconnected aspects of confronting existential concerns. 3. **Third-Force Psychology**: - Definition: Humanistic psychology, emphasizing human potential, freedom, and personal growth. - Limitations of Other Forces: - Psychoanalysis: Too deterministic, focused on unconscious drives. - Behaviorism: Overly mechanistic, ignores subjective experiences. - Goal: Celebrate human creativity, self-actualization, and meaning. 4. **Maslow's Hierarchy of Needs**: - Structure: Physiological → Safety → Love/Belonging → Esteem → Self-Actualization. - Not Universal: Priorities may change due to culture, circumstances, or personal values. - Example: In poverty, physiological needs dominate; in a safe environment, esteem or belonging may take precedence. 5. **Conditions of Worth and Incongruence**: - **Conditions of Worth**: Expectations placed by others, making love or acceptance conditional on behavior. - **Incongruent Person**: Experiences a mismatch between true self and behaviors shaped by external conditions, leading to psychological distress. **Chapter 19: Cognitive Psychology** 1. **Piaget's Concept of Schema**: - **Schema**: Mental frameworks used to organize and interpret information. - Works through assimilation (integrating new information) and accommodation (modifying schemas for new information). - Example: A child's schema for "dog" (four-legged animal) expands when encountering a cat and recognizing differences. 2. **Turing's "Imitation Game"**: - **Goal**: To determine if a machine can exhibit intelligent behavior indistinguishable from a human's. - **How It's Done**: A human interrogator interacts with a human and a machine through typed responses. If the interrogator cannot reliably distinguish the machine, it \"passes\" the test. 3. **Strong vs. Weak AI**: - **Strong AI**: Claims that machines can truly understand and have minds like humans. - **Weak AI**: Machines simulate intelligence but lack genuine understanding or consciousness. 4. **Chinese Room Example**: - Explains the difference between syntax (manipulating symbols) and semantics (understanding meaning). - Scenario: A person in a room uses a rulebook to respond to Chinese characters without understanding the language, demonstrating that following rules ≠ understanding. 5. **Neural Networks and Simulating Synaptic Changes**: - **Neural Network**: A computational model inspired by biological neural systems, designed to process information through interconnected nodes. - Simulates Synaptic Changes: Adjusts connection weights (synaptic strength) based on input/output patterns, akin to learning in the brain.

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