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P Olcott

  •  Home
  •  Publications
    54
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    54

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Areas of Specialization
Epistemology
Philosophy of Language
Logic and Philosophy of Logic
Areas of Interest
Epistemology
Philosophy of Language
Logic and Philosophy of Logic
  • All publications (54)
  •  7816
    Halting problem undecidability and infinitely nested simulation
    The halting theorem counter-examples present infinitely nested simulation (non-halting) behavior to every simulating halt decider. The pathological self-reference of the conventional halting problem proof counter-examples is overcome. The halt status of these examples is correctly determined. A simulating halt decider remains in pure simulation mode until after it determines that its input will never reach its final state. This eliminates the conventional feedback loop where the behavior of the …Read more
    The halting theorem counter-examples present infinitely nested simulation (non-halting) behavior to every simulating halt decider. The pathological self-reference of the conventional halting problem proof counter-examples is overcome. The halt status of these examples is correctly determined. A simulating halt decider remains in pure simulation mode until after it determines that its input will never reach its final state. This eliminates the conventional feedback loop where the behavior of the halt decider effects the behavior of its input.
    UndecidabilityComputability
  •  1393
    Prolog detects pathological self reference in the Gödel sentence
    This sentence G ↔ ¬(F ⊢ G) and its negation G ↔ ~(F ⊢ ¬G) are shown to meet the conventional definition of incompleteness: Incomplete(T) ↔ ∃φ ((T ⊬ φ) ∧ (T ⊬ ¬φ)). They meet conventional definition of incompleteness because neither the sentence nor its negation is provable in F (or any other formal system). --
    Logical Consequence and EntailmentParadoxesLogical ExpressionsLogical Semantics and Logical Truth
  •  757
    The x86 language has Turing Complete memory access
    An abstract machine having a tape head that can be advanced in 0 to 0x7FFFFFFF increments an unlimited number of times specifies a model of computation that has access to unlimited memory. The technical name for memory addressing based on displacement from the current memory address is relative addressing.
    The Church-Turing Thesis
  •  1340
    Defining Gödel Incompleteness Away
    We can simply define Gödel 1931 Incompleteness away by redefining the meaning of the standard definition of Incompleteness: A theory T is incomplete if and only if there is some sentence φ such that (T ⊬ φ) and (T ⊬ ¬φ). This definition construes the existence of self-contradictory expressions in a formal system as proof that this formal system is incomplete because self-contradictory expressions are neither provable nor disprovable in this formal system. Since self-contradictory expressions are…Read more
    We can simply define Gödel 1931 Incompleteness away by redefining the meaning of the standard definition of Incompleteness: A theory T is incomplete if and only if there is some sentence φ such that (T ⊬ φ) and (T ⊬ ¬φ). This definition construes the existence of self-contradictory expressions in a formal system as proof that this formal system is incomplete because self-contradictory expressions are neither provable nor disprovable in this formal system. Since self-contradictory expressions are neither provable nor disprovable only because they are self-contradictory we could define them as unsound instead of defining the formal system as incomplete.
    Logical Consequence and EntailmentTarskian Theories of TruthGodel's TheoremLogical Semantics and Log…Read more
    Logical Consequence and EntailmentTarskian Theories of TruthGodel's TheoremLogical Semantics and Logical Truth
  •  1297
    Refuting Tarski and Gödel with a Sound Deductive Formalism
    The conventional notion of a formal system is adapted to conform to the sound deductive inference model operating on finite strings. Finite strings stipulated to have the semantic value of Boolean true provide the sound deductive premises. Truth preserving finite string transformation rules provide the valid deductive inference. Sound deductive conclusions are the result of these finite string transformation rules.
    Logical Consequence and EntailmentFormal SemanticsLogical Semantics and Logical Truth
  •  599
    Carbon Fee Fail-Safe and Safeguard
    The fail-safe makes sure the fee is high enough to meet carbon emission reduction targets. The safeguard keeps the fee from getting any higher than needed. One of the ways that we could account for the unpredictability of the price elasticity of demand for carbon would be to provide a fail-safe mechanism to ensure that we definitely stay on the carbon reduction schedule. If we keep Energy Innovation Act (HR 763) essentially as it is and scale up the annual carbon fee increase by Number-of-Years…Read more
    The fail-safe makes sure the fee is high enough to meet carbon emission reduction targets. The safeguard keeps the fee from getting any higher than needed. One of the ways that we could account for the unpredictability of the price elasticity of demand for carbon would be to provide a fail-safe mechanism to ensure that we definitely stay on the carbon reduction schedule. If we keep Energy Innovation Act (HR 763) essentially as it is and scale up the annual carbon fee increase by Number-of-Years-Behind-Schedule * 0.15.
    MarketsMicroeconomicsRationality in Economics
  •  420
    Making Carbon fee just steep enough to meet emission reduction targets
    One of the ways that we could account for the unpredictability of the price elasticity of demand for carbon would be to provide a fail-safe mechanism to ensure that we definitely stay on the carbon reduction schedule. If we kept Energy Innovation Act (HR 763) essentially as it is and scale up the annual carbon fee increase by Number-of-Years-Behind-Schedule * 0.15.
  •  2676
    Proof that Wittgenstein is correct about Gödel
    The conventional notion of a formal system is adapted to conform to the sound deductive inference model operating on finite strings. Finite strings stipulated to have the semantic property of Boolean true provide the sound deductive premises. Truth preserving finite string transformation rules provide valid the deductive inference. Conclusions of sound arguments are derived from truth preserving finite string transformations applied to true premises.
    Godel's TheoremLogical Semantics and Logical TruthUndecidability
  •  2266
    Deductively Sound Formal Proofs
    Could the intersection of [formal proofs of mathematical logic] and [sound deductive inference] specify formal systems having [deductively sound formal proofs of mathematical logic]? All that we have to do to provide [deductively sound formal proofs of mathematical logic] is select the subset of conventional [formal proofs of mathematical logic] having true premises and now we have [deductively sound formal proofs of mathematical logic].
    Logical Semantics and Logical Truth
  •  1058
    Tarski Undefinability Theorem Terse Refutation
    Both Tarski and Gödel “prove” that provability can diverge from Truth. When we boil their claim down to its simplest possible essence it is really claiming that valid inference from true premises might not always derive a true consequence. This is obviously impossible.
    Logical Consequence and EntailmentTarskian Theories of Truth
  •  2168
    Eliminating Undecidability and Incompleteness in Formal Systems
    To eliminate incompleteness, undecidability and inconsistency from formal systems we only need to convert the formal proofs to theorem consequences of symbolic logic to conform to the sound deductive inference model. Within the sound deductive inference model there is a (connected sequence of valid deductions from true premises to a true conclusion) thus unlike the formal proofs of symbolic logic provability cannot diverge from truth.
    Tarskian Theories of TruthFormal SemanticsTruth-Value GapsAxiomatic TruthLogical Consequence and Ent…Read more
    Tarskian Theories of TruthFormal SemanticsTruth-Value GapsAxiomatic TruthLogical Consequence and Entailment
  •  3931
    Tarski Undefinability Theorem Succinctly Refuted
    If the conclusion of the Tarski Undefinability Theorem was that some artificially constrained limited notions of a formal system necessarily have undecidable sentences, then Tarski made no mistake within his assumptions. When we expand the scope of his investigation to other notions of formal systems we reach an entirely different conclusion showing that Tarski's assumptions were wrong.
    Logical Consequence and Entailment
  •  3385
    Philosophy of Logic – Reexamining the Formalized Notion of Truth
    Because formal systems of symbolic logic inherently express and represent the deductive inference model formal proofs to theorem consequences can be understood to represent sound deductive inference to true conclusions without any need for other representations such as model theory.
    Logical Semantics and Logical TruthLiar ParadoxHigher-Order Logic, MiscLogical Consequence and Entai…Read more
    Logical Semantics and Logical TruthLiar ParadoxHigher-Order Logic, MiscLogical Consequence and EntailmentUndecidabilityGodel's TheoremTruth-Value Gaps
  •  783
    Expressing Truth directly within a formal system with no need for model theory
    Because formal systems of symbolic logic inherently express and represent the deductive inference model formal proofs to theorem consequences can be understood to represent sound deductive inference to deductive conclusions without any need for other representations.
    Logical Consequence and EntailmentLogical Semantics and Logical TruthLiar Paradox
  •  8
    Defining a Halting Decidability Decider
    In this paper we show how to define a halting decidability decider that rejects all finite string Turing machine descriptions that would otherwise make halting undecidable. All of the conventional halting problem proof counter-examples would be rejected on the basis that they specify an infinitely recursive evaluation sequence thus are malformed expressions of the language of Turing Machine descriptions.
    Computability
  •  1985
    The Notion of Truth in Natural and Formal Languages
    For any natural (human) or formal (mathematical) language L we know that an expression X of language L is true if and only if there are expressions Γ of language L that connect X to known facts. By extending the notion of a Well Formed Formula to include syntactically formalized rules for rejecting semantically incorrect expressions we recognize and reject expressions that evaluate to neither True nor False.
    Liar ParadoxTruth, MiscTruth-Conditional TheoriesTruth Bearers
  •  2672
    Halting Problem Proof from Finite Strings to Final States
    If there truly is a proof that shows that no universal halt decider exists on the basis that certain tuples: (H, Wm, W) are undecidable, then this very same proof (implemented as a Turing machine) could be used by H to reject some of its inputs. When-so-ever the hypothetical halt decider cannot derive a formal proof from its input strings and initial state to final states corresponding the mathematical logic functions of Halts(Wm, W) or Loops(Wm, W), halting undecidability has been decided.
    Computability
  •  1636
    Defining a Decidability Decider for the Halting Problem
    When we understand that every potential halt decider must derive a formal mathematical proof from its inputs to its final states previously undiscovered semantic details emerge. When-so-ever the potential halt decider cannot derive a formal proof from its input strings to its final states of Halts or Loops, undecidability has been decided. The formal proof involves tracing the sequence of state transitions of the input TMD as syntactic logical consequence inference steps in the formal languag…Read more
    When we understand that every potential halt decider must derive a formal mathematical proof from its inputs to its final states previously undiscovered semantic details emerge. When-so-ever the potential halt decider cannot derive a formal proof from its input strings to its final states of Halts or Loops, undecidability has been decided. The formal proof involves tracing the sequence of state transitions of the input TMD as syntactic logical consequence inference steps in the formal language of Turing Machine Descriptions.
    ComputabilityTheory of Computation, Misc
  •  683
    Defining a Decidability Decider
    By extending the notion of a Well Formed Formula to include syntactically formalized rules for rejecting semantically incorrect expressions we recognize and reject expressions that have the semantic error of Pathological self-reference(Olcott 2004). The foundation of this system requires the notion of a BaseFact that anchors the semantic notions of True and False. When-so-ever a formal proof from BaseFacts of language L to a closed WFF X or ~X of language L does not exist X is decided to be sema…Read more
    By extending the notion of a Well Formed Formula to include syntactically formalized rules for rejecting semantically incorrect expressions we recognize and reject expressions that have the semantic error of Pathological self-reference(Olcott 2004). The foundation of this system requires the notion of a BaseFact that anchors the semantic notions of True and False. When-so-ever a formal proof from BaseFacts of language L to a closed WFF X or ~X of language L does not exist X is decided to be semantically incorrect.
    Logical Semantics and Logical TruthLiar ParadoxLogical Consequence and EntailmentLogic and Philosoph…Read more
    Logical Semantics and Logical TruthLiar ParadoxLogical Consequence and EntailmentLogic and Philosophy of Logic, Misc
  •  867
    Provability with Minimal Type Theory
    Minimal Type Theory (MTT) shows exactly how all of the constituent parts of an expression relate to each other (in 2D space) when this expression is formalized using a directed acyclic graph (DAG). This provides substantially greater expressiveness than the 1D space of FOPL syntax. The increase in expressiveness over other formal systems of logic shows the Pathological Self-Reference Error of expressions previously considered to be sentences of formal systems. MTT shows that these expressions …Read more
    Minimal Type Theory (MTT) shows exactly how all of the constituent parts of an expression relate to each other (in 2D space) when this expression is formalized using a directed acyclic graph (DAG). This provides substantially greater expressiveness than the 1D space of FOPL syntax. The increase in expressiveness over other formal systems of logic shows the Pathological Self-Reference Error of expressions previously considered to be sentences of formal systems. MTT shows that these expressions were never truth bearers, thus never sentences of any formal logic system.
    Liar ParadoxLogical Consequence and EntailmentFormal Semantics
  •  931
    Refuting Incompleteness and Undefinability
    Within the (Haskell Curry) notion of a formal system we complete Tarski's formal correctness: ∀x True(x) ↔ ⊢ x and use this finally formalized notion of Truth to refute his own Undefinability Theorem (based on the Liar Paradox), the Liar Paradox, and the (Panu Raatikainen) essence of the conclusion of the 1931 Incompleteness Theorem.
    Logical Consequence and EntailmentLiar ParadoxLogical Semantics and Logical TruthTarskian Theories o…Read more
    Logical Consequence and EntailmentLiar ParadoxLogical Semantics and Logical TruthTarskian Theories of Truth
  •  676
    Formalizing Self-Reference Paradox using Predicate Logic
    We begin with the hypothetical assumption that Tarski’s 1933 formula ∀ True(x) φ(x) has been defined such that ∀x Tarski:True(x) ↔ Boolean-True. On the basis of this logical premise we formalize the Truth Teller Paradox: "This sentence is true." showing syntactically how self-reference paradox is semantically ungrounded.
    Logical Consequence and EntailmentLogical Semantics and Logical Truth
  •  681
    Semantic WFF(x) specified syntactically
    Hypothesis: WFF(x) can be applied syntactically to the semantics of formalized declarative sentences such that: WFF(x) ↔ (x ↦ True) ∨ (x ↦ False) (see proof sketch below) For clarity we focus on simple propositions without binary logical connectives.
    Liar ParadoxLogical Consequence and EntailmentLogical Semantics and Logical Truth
  •  1243
    Formalizing the logical (self-reference) error of the Liar Paradox
    This paper decomposes the Liar Paradox into its semantic atoms using Meaning Postulates (1952) provided by Rudolf Carnap. Formalizing truth values of propositions as Boolean properties of these propositions is a key new insight. This new insight divides the translation of a declarative sentence into its equivalent mathematical proposition into three separate steps. When each of these steps are separately examined the logical error of the Liar Paradox is unequivocally shown.
    Liar ParadoxTheories of Truth, MiscFormal Epistemology, Misc
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