“…These results improve on a characterisation result for supervaluations given in [15] which required the additional axiom that ∀θ,…”
Section: Axioms For Three Valued Valuationsmentioning
confidence: 58%
“…Hence, by induction v cbs (θ) = 1 and v cbs (ϕ) = 1 and by definition 2 v cbs (θ ∧ ϕ) = 1 as required. Also, if v cbs (θ ∧ ϕ) = 1 then by definition 2 v cbs (θ) = 1 and v cbs (ϕ) = 1 which implies by induction that Theorem 22 is related to an existing result in [15] which, while similar, only holds for sentences in SL A where either A = P or A = {¬p i : p i ∈ P} although it does hold for a slightly broader class of supervaluations.…”
Section: Relating Kleene and Supervaluationsmentioning
confidence: 85%
“…We prove a number of results for conditional supervaluation and Kleene belief pairs under different assumptions. In some cases the work presented extends results and employs definitions which have already appeared in the literature including in [14], [15], [16] and [17]. Throughout the paper we will, where appropriate, note the nature and scope of this extension.…”
Section: Introductionmentioning
confidence: 83%
“…As noted by Keefe and Smith [9], vagueness is a multifaceted phenomenon and vague predicates exhibit blurred boundaries as well as borderline cases. We have consistently argued that the former can be understood as resulting from a type of epistemic uncertainty about what is the correct definition of predicates in language [13], [15], [17]. This semantic or linguistic uncertainty [12] naturally results from the distributed manner in which language is learned through repeated interactions between individuals [23], [13].…”
Section: Lower and Upper Belief Measuresmentioning
confidence: 99%
“…Belief Pairs [14], [15]: Let V be a finite set of three valued valuations and w be a probability distribution on V then we define a belief pair as a pair of lower and upper measures µ = (µ, µ) where µ, µ : SL → [0, 1] such that ∀θ ∈ SL; µ(θ) = w({v ∈ V : v(θ) = 1}) and µ(θ) = w({v ∈ V : v(θ) = 0}). 9 It can also be interesting to consider mid-point belief degrees generated from a belief pair by taking the average of the lower and upper measures as follows:…”
Section: Lower and Upper Belief Measuresmentioning
We describe an integrated approach to vagueness and uncertainty within a propositional logic setting and based on a combination of three valued logic and probability. Three valued valuations are employed in order to model explicitly borderline cases and in this context we give an axiomatic characterisation of two well known three valued models; supervaluations and Kleene valuations. We then demonstrate the close relationship between Kleene valuations and a sub-class of supervaluations. Belief pairs are lower and upper measures on the sentences of the language generated from a probability distribution defined over a finite set of three valued valuations. We describe links between these measures and other uncertainty theories and we show the close relationship between Kleene belief pairs and a sub-class of supervaluation belief pairs. Finally, a probabilistic approach to conditioning is explored within this framework.
“…These results improve on a characterisation result for supervaluations given in [15] which required the additional axiom that ∀θ,…”
Section: Axioms For Three Valued Valuationsmentioning
confidence: 58%
“…Hence, by induction v cbs (θ) = 1 and v cbs (ϕ) = 1 and by definition 2 v cbs (θ ∧ ϕ) = 1 as required. Also, if v cbs (θ ∧ ϕ) = 1 then by definition 2 v cbs (θ) = 1 and v cbs (ϕ) = 1 which implies by induction that Theorem 22 is related to an existing result in [15] which, while similar, only holds for sentences in SL A where either A = P or A = {¬p i : p i ∈ P} although it does hold for a slightly broader class of supervaluations.…”
Section: Relating Kleene and Supervaluationsmentioning
confidence: 85%
“…We prove a number of results for conditional supervaluation and Kleene belief pairs under different assumptions. In some cases the work presented extends results and employs definitions which have already appeared in the literature including in [14], [15], [16] and [17]. Throughout the paper we will, where appropriate, note the nature and scope of this extension.…”
Section: Introductionmentioning
confidence: 83%
“…As noted by Keefe and Smith [9], vagueness is a multifaceted phenomenon and vague predicates exhibit blurred boundaries as well as borderline cases. We have consistently argued that the former can be understood as resulting from a type of epistemic uncertainty about what is the correct definition of predicates in language [13], [15], [17]. This semantic or linguistic uncertainty [12] naturally results from the distributed manner in which language is learned through repeated interactions between individuals [23], [13].…”
Section: Lower and Upper Belief Measuresmentioning
confidence: 99%
“…Belief Pairs [14], [15]: Let V be a finite set of three valued valuations and w be a probability distribution on V then we define a belief pair as a pair of lower and upper measures µ = (µ, µ) where µ, µ : SL → [0, 1] such that ∀θ ∈ SL; µ(θ) = w({v ∈ V : v(θ) = 1}) and µ(θ) = w({v ∈ V : v(θ) = 0}). 9 It can also be interesting to consider mid-point belief degrees generated from a belief pair by taking the average of the lower and upper measures as follows:…”
Section: Lower and Upper Belief Measuresmentioning
We describe an integrated approach to vagueness and uncertainty within a propositional logic setting and based on a combination of three valued logic and probability. Three valued valuations are employed in order to model explicitly borderline cases and in this context we give an axiomatic characterisation of two well known three valued models; supervaluations and Kleene valuations. We then demonstrate the close relationship between Kleene valuations and a sub-class of supervaluations. Belief pairs are lower and upper measures on the sentences of the language generated from a probability distribution defined over a finite set of three valued valuations. We describe links between these measures and other uncertainty theories and we show the close relationship between Kleene belief pairs and a sub-class of supervaluation belief pairs. Finally, a probabilistic approach to conditioning is explored within this framework.
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