PHIL wk2 reading Slors et al (2015) Chapter 1 (1.4-1.7)

The Mind-Body Problem

Introduction to Identity Theory

  • Water Analogy: Water's identity as H2O is compared to mind-brain identification.

  • Limitations of Comparison: While water can be defined by its properties (freezing point, boiling point, transparency), the same clarity is lacking in the identification of mental states with brain states.

1.4 Functionalism

  • Shift in Theory: Functionalism supplanted identity theory, offering better solutions to key problems.

  • Key Problems Addressed:

    • Multiple Realization: How can different brain states correspond to the same mental state?

    • Explanation of Mental States: Why are some brain states classified as mental states?

  • Behaviorism and Definitions: Emphasizes defining mental states based on their functional roles instead of their material composition.

1.4.1 Behavioral Dispositions as Brain States

  • David Armstrong's Idea: Logical behaviorism and identity theory can coexist.

  • Dispositions as Properties: Dispositions exist as abstract properties rather than concrete realities, tied to specific conditions.

  • Comparison with Glass Fragility: The fragility of glass illustrates how behaviors can be produced by specific physical structures.

1.4.2 Folk-Psychology and Mental Holism

  • Sellars' Contribution: Introduced the concept of folk-psychology, a theoretical framework for understanding mental states and behaviors.

  • Inner Aspect of Mind: Acknowledges a hidden inner aspect to mental states that behaviorism fails to address.

  • Comparison to Scientific Postulation: Similar to scientists hypothesizing about unseen elements to explain observations.

1.4.3 Causal Roles and Neural Realizations

  • Lewis' Analytical Functionalism: Mental states defined by their causal roles.

  • Inputs, Outputs, Consequences Model:

    • Inputs: What causes a mental state?

    • Outputs: The behavioral effects of mental states.

    • Consequences: Internal consequences affecting susceptibility to stimuli.

  • Example of Pain: Characterized by its causes and effects, linking mental states to physical realizations in the brain.

1.4.4 Explanation of Mental States

  • Functionalism's Advantage: Provides a clear explanation of why certain brain states correspond to mental states through causal roles.

  • Analogy with Genes: Drawing parallels between the relationships of mental states to brain states with the relationship of genes to DNA.

1.4.5 Multiple Realisation Explained

  • Causal Role Distinction: Different brain states can fulfill the same causal role, allowing for multiple realizations of mental states.

1.5 Mind as a Computer Program

  • Historical Background: Concept of machines thinking dates back to the 19th century; Turing's pivotal role in artificial intelligence.

  • Functionalism and Thinking Machines: Thinking defined in terms of functional properties, not limited to biological systems.

1.5.1 Symbols, Syntax, and Semantics

  • Symbols: Representational elements that can take various physical forms.

  • Syntactical Properties: Physical characteristics enabling symbol recognition.

  • Semantical Properties: Meanings derived from symbols’ relationships to the world.

1.5.2 Thinking Machines

  • AI and Intelligence Debate: Discusses conditions under which AI can be considered intelligent.

  • Crucial Distinctions: Understanding how symbols acquire meaning remains a primary challenge.

1.5.3 The Language of Thought

  • Biological Computer Theory: Brains function as biological computers programmed by evolution.

  • Chomsky's Influence: Universal grammar and the innate structure concept.

1.5.4 The Chinese Room Argument

  • Searle's Experiment: A thought experiment challenging computationalism by illustrating the difference between understanding and manipulation of symbols.

  • Responses to the Argument: Debate surrounding whether understanding resides in the clerk or the system as a whole.

1.5.5 Connectionism

  • Emergence of Connectionism: A response to limitations of classical AI, employing bottom-up approaches to learning and flexibility.

  • Neural Networks: Mimics brain functions, allowing for self-learning and creativity.

1.6 Eliminativism

  • Paul Churchland's Critique: Folk-psychology is a remnant of outdated thinking; neuroscience offers a superior explanatory framework.

  • Criteria for Theories:

    1. Ability to explain phenomena.

    2. Capacity for development with new findings.

    3. Compatibility with broader scientific theories.

  • Future of Folk-Psychology: As scientific understanding advances, folk-psychological explanations will diminish.

1.7 Interpretationism

  • Dennett's Perspective: Distinguishes between personal and sub-personal descriptions of the mind, supporting the existence of mental states but not in a traditional physical sense.

  • The Intentional Stance: Proposes that understanding behavior can be achieved through ascribing mental states, akin to viewing stock indices as real entities.

  • Reality of Mind: Mental states, while not tangible, uncover patterns that aid in predicting behavior, similar to abstract concepts in science.

robot