Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Raymond D. Gumb

dblp:41/6868 · DBLP profile ↗
← Back
7ranked-venue papers
7as first author
0since 2021 · last 2002
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 3 · 3 first-authorArtificial intelligence and machine learning · 2 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2 · 2 first-authorDatabases, data management, data science and information retrieval · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Knowledge representation and reasoning · 61% 3D vision · 30% Robot navigation and mapping · 9%
Theoretical computer science
1 paper
Logic in computer science · 67% Automated reasoning and model checking · 33%

Topics — the 5 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Knowledge representation and reasoning › temporal reasoning
probabilistic temporal reasoning
0.011987
Filming a Terrain under Uncertainty Using Temporal and Probahilistic Reasoning · AAAI 1987
Knowledge, reasoning and agents › Knowledge representation and reasoning
temporal reasoning
0.011987
Filming a Terrain under Uncertainty Using Temporal and Probahilistic Reasoning · AAAI 1987
Computer vision › 3D vision › 3d shape reconstruction
terrain reconstruction
0.011987
Filming a Terrain under Uncertainty Using Temporal and Probahilistic Reasoning · AAAI 1987
Logic in computer science
intensional logic
0.011977
A Mechanized Proof Procedure for Free Intensional Logics · IJCAI 1977
Logic in computer science
proof theory
0.011977
A Mechanized Proof Procedure for Free Intensional Logics · IJCAI 1977

Methods — techniques the papers use, named apart from their topics

probabilistic reasoning · 0.0
YearPublicationVenuePosition
2002 The Lazy Logic of Partial Terms
abstract
Abstract The Logic of Partial TermsLPTis a strict negative free logic that provides an economical framework for developing many traditional mathematical theories having partial functions. In these traditional theories, all functions and predicates are strict. For example, if a unary function (predicate) is applied to an undefined argument, the result is undefined (respectively, false). On the other hand, every practical programming language incorporates at least one nonstrict or lazy construct, such as the if-then-else, but nonstrict functions cannot be either primitive or introduced in definitional extensions inLPT. Consequently, lazy programming language constructs do not fit the traditional mathematical mold inherent inLPT. A nonstrict (positive free) logic is required to handle nonstrict functions and predicates. Previously developed nonstrict logics are not fully satisfactory because they are verbose in describing strict functions (which predominate in many programming languages), and some logicians find their semantics philosophically unpalatable. The newly developed Lazy Logic of Partial TermsLLis as concise asLPTin describing strict functions and predicates, and strict and nonstrict functions and predicates can be introduced in definitional extensions of traditional mathematical theories.LLis “built on top of”LPT. and, likeLPT, admits only one domain in the semantics. In the semantics, for the case of a nonstrict unary functionhin an LL theoryT, we have ⊨Th(⊥) =y↔ ∀x(h(x) = y), where ⊥ is a canonical undefined term. Correspondingly, in the axiomatization, the “indifference” (to the value of the argument) axiomh(⊥) =y↔ ∀x(h(x) = y)guarantees a proper fit with the semantics. The price paid forLL's naturalness is that it is tailored for describing a specific area of computer science, program specification and verification, possibly limiting its role in explicating classical mathematical and philosophical subjects.
Raymond D. Gumb
J. Symb. Log.1
2000 Model Sets in a Nonconstructive Logic of Partial Terms with Definite Descriptions
Raymond D. Gumb
TABLEAUX1
1989 A first course in program verification and the semantics of programming languages
abstract
We describe a first course in program verification and course prerequisites, the rationale for the selection of the topics covered, and the appropriateness of the COUIS~ in the curriculum.I.
Raymond D. Gumb
SIGCSE1
1987 Filming a Terrain under Uncertainty Using Temporal and Probahilistic Reasoning
Raymond D. Gumb
AAAI1
1984 An Extended Joint Consistency Theorem for a Family of Free Modal Logics with Equality
abstract
In this paper, we establish an extended joint consistency theorem for an infinite family of free modal logics with equality. The extended joint consistency theorem incorporates the Craig and Lyndon interpolation lemmas and the Robinson joint consistency theorem. In part, the theorem states that two theories which are jointly unsatisfiable are separated by a sentence in the vocabulary common to both theories. Our family of free modal logics includes the free versions of I, M, and S4 studied by Leblanc [5, Chapters 8 and 9], supplemented with equality as in [3]. In the relational semantics for these logics, there is no restriction on the accessibility relation in I, while in M(S4) the restriction is reflexivity (refiexivity and transitivity). We say that a restriction on the accessibility relation countenances backward-looping if it implies a sentence of the form ∀x1 …xn(x1Rx2 &…&xn ⊃ xkRxj) (1 ≤ j < k ≤ n ≥ 2), where the xi (1 ≤ i ≤ n) are distinct individual variables. Just as reflexivity and transitivity do not countenance backward-looping, neither do any of the restrictions in our family of free modal logics. (The above terminology is derived from the effect of such restrictions on Kripke tableaux constructions.) The Barcan formula, its converse, the Fitch formula, and the formula T ≠ T′ ⊃ □T ≠ T′ do not hold in our logics.
Raymond D. Gumb
J. Symb. Log.1
1977 A Mechanized Proof Procedure for Free Intensional Logics
Raymond D. Gumb
IJCAI1
1971 The inapplicability of the dictionary - Encyclopedia distinction to the semantics of natural languages
Raymond D. Gumb
Inf. Storage Retr.1