PHIL340 MIDTERM

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Last updated 2:14 AM on 10/6/25
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71 Terms

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displacement
A design feature of language identified by Charles Hockett; it allows communication about things not immediately present in space, time, actuality, or personal perspective.
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spatial displacement
The ability to communicate about things not physically present or located in the here-and-now environment.
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temporal displacement
The ability to communicate about things not occurring at the present moment, such as past or future events.
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modal displacement
The ability to communicate about things not actual, such as hypothetical, imagined, or fictional scenarios.
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personal displacement
The ability to communicate indirectly about oneself or others, enabling perspective-taking and self-reference.
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Charles Hockett
Linguist (1916–2000) who outlined design features of human language, including displacement, distinguishing human communication from other animals.
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Turing machine
A theoretical device invented by Alan Turing consisting of an infinite tape, a set of rules, and a read/write head, used to define the concept of computation.
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basic features of a Turing machine
Consists of a tape with symbols, a set of states, a head that reads/writes symbols, and transition rules that determine actions based on current state and symbol.
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rule-based symbol manipulation
A process by which a system follows explicit formal rules to manipulate symbols; foundational idea for symbolic AI.
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symbolic AI
An approach to artificial intelligence that represents knowledge as symbols and applies rules of logic to perform reasoning and problem-solving.
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necessary condition
A requirement that must be satisfied for a statement to be true; if the condition is not met, the statement cannot hold.
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sufficient condition
A condition that, if satisfied, guarantees the truth of a statement, though it may not be necessary.
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the Turing test
Alan Turing’s test of machine intelligence; if a machine can imitate a human in conversation such that an interrogator cannot reliably distinguish them, it is considered intelligent.
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Alan Turing
Mathematician and father of computer science; introduced Turing machines and the Turing test; posed the famous question “Can machines think?”
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mind vs brain
Distinction between the immaterial mind (thoughts, consciousness, experience) and the material brain (neural processes, biology).
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mind-body problem
The philosophical problem of explaining how immaterial mind and consciousness arise from physical matter and brain processes.
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embodiment
The theory that cognition depends on the body’s sensorimotor interaction with the environment; cognition is shaped by lived, embodied experience.
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Varela, Thompson, and Rosch on embodiment
Claimed cognition depends on having a body with sensorimotor capacities, showing thought cannot be separated from embodiment.
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the symbol grounding problem
The challenge of how symbols (words, tokens, representations) gain meaning rather than being manipulated without understanding; central in AI and philosophy of language.
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Winograd schemas
Tests of language understanding that require background knowledge to resolve ambiguity (e.g., “The city councilors refused the demonstrators a permit because they feared violence” vs. “because they advocated violence”).
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roles of knowledge in language interpretation
Language interpretation requires context and background knowledge beyond syntax, as shown in Winograd schemas and AI failures.
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neural nets
Computational models inspired by the brain, consisting of layers of nodes (“neurons”) connected by weighted edges that process and transform input data.
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transformer architecture
A neural network architecture using attention mechanisms to focus on relevant parts of input; crucial to modern large language models like GPT.
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sentience
The capacity to have subjective, conscious experience; the ability to feel or perceive subjectively.
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subjective experience
The qualitative, first-person perspective of being; the “what it’s like” of consciousness.
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Thomas Nagel’s “what it’s like”
Phrase used to highlight subjective consciousness (e.g., what it is like to be a bat), distinguishing it from objective descriptions.
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syntax
The formal rules governing the arrangement of words into grammatically valid sentences.
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semantics
The literal meaning of linguistic expressions, what words and sentences refer to.
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pragmatics
The study of how meaning is shaped by context, speaker intention, and usage beyond literal meaning.
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compositionality
Principle that the meaning of a complex expression is determined by the meanings of its parts and their syntactic structure.
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language and commitment
Using language involves making commitments (to truth, shared understanding, obligations), not just exchanging predictions.
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commitment vs prediction
Commitment is about obligations and responsibilities made in communication; prediction is about anticipating future outcomes without obligation.
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externalism
The view that meanings and thoughts depend partly on factors outside the individual, including environment and social context.
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physical externalism
Meaning and thought depend on interaction with the physical world; e.g., “water” on Earth is H2O, while on Twin Earth it is XYZ.
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social externalism
Meaning and thought depend on social practices, institutions, and linguistic communities.
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public meaning
The socially shared meaning of terms; prevents purely private definitions from being valid.
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Twin Earth thought experiment
Hilary Putnam’s scenario where “water” on Earth = H2O and on Twin Earth = XYZ, showing meaning depends on environment and not just internal states.
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Hilary Putnam
Philosopher who argued for semantic externalism and devised the Twin Earth thought experiment.
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Dennett’s stances
Framework of three explanatory perspectives: physical stance, design stance, and intentional stance, for predicting and explaining system behavior.
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physical stance
Predicting behavior using physical laws (e.g., predicting where a rock will fall).
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design stance
Predicting behavior by assuming something works as designed to perform a function (e.g., a clock tells time).
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intentional stance
Predicting behavior by attributing beliefs, desires, and goals (e.g., assuming a chess computer “wants to win”).
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Daniel Dennett
Philosopher of mind who developed the theory of stances and analyzed intentionality and consciousness.
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forms of life
Wittgenstein’s concept that language is embedded in social practices, activities, and shared ways of living.
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Wittgenstein’s quote “to imagine a language is to imagine a form of life”
Suggests language and meaning are inseparable from human practices and forms of life.
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Wittgenstein’s quote on agreement
“If language is to be a means of communication there must be agreement not only in definitions but also in judgments,” highlighting shared standards for meaning.
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Wittgenstein on measuring
Claimed measuring must be repeatable, reproducible by others, and correctable, illustrating the need for public standards.
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collective action problem
A situation where individuals acting in self-interest undermine group benefits, requiring norms, institutions, or cooperation to solve (e.g., prisoner’s dilemma).
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prisoner’s dilemma
A game-theory model where two rational individuals each have incentives to betray, but both are better off cooperating.
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Elinor Ostrom
Political economist who showed groups can self-organize to govern shared resources and overcome collective action problems.
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Ostrom’s Governing the Commons
Book analyzing how communities solve resource problems; emphasized institutions, norms, and self-governance.
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empiricism
The philosophical thesis that knowledge comes primarily from sensory experience.
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rationalism
The thesis that some knowledge is independent of experience (a priori) and comes through reason.
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behaviorism
The psychological view that only observable behavior, not inner mental states, should be studied scientifically.
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computationalism
The view that the mind functions as a computational system, processing information via representations and algorithms.
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compositionality in language
The principle that meanings of larger structures depend systematically on meanings of parts and rules of composition.
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Noam Chomsky
Linguist who argued humans have an innate universal grammar; distinguished between syntax and semantics.
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Chomsky’s “Colorless green ideas sleep furiously”
A sentence that is syntactically correct but semantically nonsensical, showing syntax and semantics are distinct.
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Humpty Dumpty’s claim about meaning
“When I use a word, it means just what I choose it to mean,” rejected as neglecting public meaning.
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Lewis Carroll’s critique
Carroll highlighted the absurdity of private meaning, reinforcing that words gain meaning through communal use.
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Herbert Simon on AI
Claimed that by inventing computer programs, humans solved the mind-body problem by showing how matter can instantiate mind-like properties.
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John McCarthy on AI
Defined intelligence as “the computational part of the ability to achieve goals in the world.”
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Eric on simulation
Noted that simulations (e.g., of weather) may resemble processes but do not share all properties (simulated rain is not wet).
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film “Be Right Back”
Black Mirror episode raising questions about personal identity, grief, and relationships with AI simulations.
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film “Arrival”
Explores linguistic relativity, forms of life, externalism, and temporal displacement through communication with Heptapods.
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film “Her”
Explores AI relationships, consciousness, commitment, and what it means to love or be loved by an AI.
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Star Trek TNG “Darmok”
Illustrates challenges of communication across forms of life and grounding meaning in shared narrative.
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language and narrative
Human intelligence relies on narrative for understanding time, memory, and identity.
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time and intelligence
Human cognition is structured by temporal awareness, planning, and sequencing events.
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stochastic parrots
Critique of large language models that they generate fluent but shallow text without true understanding, based on statistical pattern-matching.
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Chinese Room argument
John Searle’s thought experiment arguing that rule-based symbol manipulation is insufficient for genuine understanding or consciousness.

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