Demo Data from EDBT 2026 / reviewers in the wild / expert
Rohit Parikh
dblp:09/2064
· DBLP profile ↗
32ranked-venue papers
19as first author
0since 2021 · last 2017
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 28 · 16 first-authorArtificial intelligence and machine learning · 3 · 1 first-authorSoftware engineering, systems software and programming languages · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1Applied, interdisciplinary, general and emerging 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.
| Theoretical computer science
11 papers |
Logic in computer science · 71% Computational complexity · 14% Automata and formal languages · 10% | |
| Artificial intelligence
1 paper |
Knowledge representation and reasoning · 100% |
Topics — the 23 heaviest of 26, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Knowledge representation and reasoning
belief representation and revision |
0.0 | 1 | 1999 | An Inconsistency Tolerant Model for Belief Representation and Belief Revision · IJCAI 1999 |
Logic in computer science › model theory
logical characterization |
0.0 | 1 | 1995 | A Logical Study of Distributed Transition Systems · Inf. Comput. 1995 |
Logic in computer science
semantics |
0.0 | 1 | 1995 | A Logical Study of Distributed Transition Systems · Inf. Comput. 1995 |
Logic in computer science
transition systems |
0.0 | 1 | 1995 | A Logical Study of Distributed Transition Systems · Inf. Comput. 1995 |
Logic in computer science › modal logic › dynamic logic
process logic |
0.0 | 4 | 1985 | Equations Between Regular Terms and an Application to Process Logic · SIAM J. Comput. 1985 Equations between Regular Terms and an Application to Process Logic · STOC 1981 Process Logic: Expressiveness, Decidability, Completeness · FOCS 1980 |
Logic in computer science › modal logic › dynamic logic
propositional dynamic logic |
0.0 | 3 | 1983 | Propositional Game Logic · FOCS 1983 Propositional Logics of Programs: Systems, Models, and Complexity · POPL 1980 A Decidability Result for a Second Order Process Logic · FOCS 1978 |
Computational complexity
undecidability |
0.0 | 2 | 1985 | Equations Between Regular Terms and an Application to Process Logic · SIAM J. Comput. 1985 Equations between Regular Terms and an Application to Process Logic · STOC 1981 |
Distributed computing theory
knowledge in distributed systems |
0.0 | 1 | 1986 | Levels of Knowledge in Distributed Computing · LICS 1986 |
Computational complexity › descriptive complexity
expressive power |
0.0 | 2 | 1980 | Definability in Dynamic Logic · STOC 1980 Process Logic: Expressiveness, Decidability, Completeness · FOCS 1980 |
Automata and formal languages › regular languages
regular expressions |
0.0 | 1 | 1985 | Equations Between Regular Terms and an Application to Process Logic · SIAM J. Comput. 1985 |
Computational complexity
decidability |
0.0 | 2 | 1980 | Process Logic: Expressiveness, Decidability, Completeness · FOCS 1980 A Decidability Result for a Second Order Process Logic · FOCS 1978 |
Logic in computer science › meta-logic
axiomatization |
0.0 | 1 | 1983 | Propositional Game Logic · FOCS 1983 |
Logic in computer science
completeness and decidability |
0.0 | 1 | 1983 | Propositional Game Logic · FOCS 1983 |
Logic in computer science › modal logic
game logic |
0.0 | 1 | 1983 | Propositional Game Logic · FOCS 1983 |
Logic in computer science
temporal logic |
0.0 | 1 | 1983 | Propositional Game Logic · FOCS 1983 |
Automata and formal languages › regular languages
pumping lemma |
0.0 | 1 | 1981 | Pumping Lemmas for Regular Sets · SIAM J. Comput. 1981 |
Automata and formal languages
regular languages |
0.0 | 1 | 1981 | Pumping Lemmas for Regular Sets · SIAM J. Comput. 1981 |
Logic in computer science
completeness |
0.0 | 1 | 1980 | Process Logic: Expressiveness, Decidability, Completeness · FOCS 1980 |
Logic in computer science › modal logic
dynamic logic |
0.0 | 1 | 1980 | Definability in Dynamic Logic · STOC 1980 |
Logic in computer science
modal logic |
0.0 | 1 | 1980 | Process Logic: Expressiveness, Decidability, Completeness · FOCS 1980 |
Automated reasoning and model checking › automated reasoning
validity problem |
0.0 | 1 | 1978 | A Decidability Result for a Second Order Process Logic · FOCS 1978 |
Automata and formal languages
context-free languages |
0.0 | 1 | 1966 | On Context-Free Languages · J. ACM 1966 |
Automata and formal languages › grammar formalisms
grammar hierarchies |
0.0 | 1 | 1966 | On Context-Free Languages · J. ACM 1966 |
Methods — techniques the papers use, named apart from their topics
inconsistency-tolerant reasoning · 0.0belief revision · 0.0reduction · 0.0fixpoint semantics · 0.0bar induction · 0.0segerberg axioms · 0.0ramsey's theorem · 0.0kleene algebra · 0.0filtration · 0.0deductive system · 0.0canonical model · 0.0decidability proof · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | An Epistemic Generalization of Rationalizability
Rohit Parikh |
WoLLIC | 1 |
| 2005 | Logical omniscience and common knowledge: WHAT do we know and what do WE know?
Rohit Parikh |
TARK | 1 |
| 2005 | Finite information logic
Rohit Parikh, Jouko A. Väänänen |
Ann. Pure Appl. Log. | 1 |
| 2004 | Knowledge-Theoretic Properties of Strategic Voting
Samir Chopra, Eric Pacuit, Rohit Parikh |
JELIA | 3 |
| 1999 | An Inconsistency Tolerant Model for Belief Representation and Belief Revision
Samir Chopra, Rohit Parikh |
IJCAI | 2 |
| 1996 | Topological Reasoning and the Logic of Knowledge
Andrew Dabrowski, Lawrence S. Moss, Rohit Parikh |
Ann. Pure Appl. Log. | 3 |
| 1995 | A Logical Study of Distributed Transition Systems
Kamal Lodaya, Rohit Parikh, Ramaswamy Ramanujam, P. S. Thiagarajan |
Inf. Comput. | 2 |
| 1992 | Topological Reasoning and The Logic of Knowledge
Lawrence S. Moss, Rohit Parikh |
TARK | 2 |
| 1991 | Monotonic and non-monotonic logics of knowledge
Rohit Parikh |
Fundam. Informaticae | 1 |
| 1991 | Preface
Rohit Parikh |
Inf. Comput. | 1 |
| 1990 | Recent Issues in Reasoning about Knowledge
Rohit Parikh |
TARK | 1 |
| 1988 | Meeting of the Association for Symbolic Logic: New York City, May 1987
Martin D. Davis, Rohit Parikh |
J. Symb. Log. | 2 |
| 1987 | Some Recent Applications of Knowledge
Rohit Parikh |
FSTTCS | 1 |
| 1987 | Knowledge and the Problem of Logical Omniscience
Rohit Parikh |
ISMIS | 1 |
| 1986 | Levels of Knowledge in Distributed Computing
Rohit Parikh |
LICS | 1 |
| 1985 | Equations Between Regular Terms and an Application to Process LogicabstractRegular terms with the Kleene operations $ \cup $, ; and $ * $ can be thought of as operators on languages, generating other languages. An equation $\tau _1 = \tau _2 $ between two such terms is said to be satisfiable just in case languages exist which make this equation true. We show that the satisfiability problem even for $ * $-free regular terms is undecidable. Similar techniques are used to show that a very natural extension of the Process Logic of Harel, Kozen and Parikh is undecidable. Rohit Parikh, Ashok K. Chandra, Joseph Y. Halpern, Albert R. Meyer |
SIAM J. Comput. | 1 |
| 1984 | Logics of Knowledge, Games and Dynamic Logic
Rohit Parikh |
FSTTCS | 1 |
| 1983 | Propositional Logics of Programs: New Directions
Rohit Parikh |
FCT | 1 |
| 1983 | Propositional Game LogicabstractWe define a propositional logic of games which lies in expressive power between the Propositional Dynamic Logic of Fischer and Ladner [FL] and the µ-calculus of Kozen [K]. We show that the logic is decidable and give a very simple, complete set of axioms, one of the rules being Brouwer's bar induction. Even though decidable, this logic is powerful enough to define well orderings. We state some other results, open questions and indicate directions for further research. Rohit Parikh |
FOCS | 1 |
| 1983 | Some Applications of Topology to Program Semantics
Rohit Parikh |
Math. Syst. Theory | 1 |
| 1982 | Process Logic: Expressiveness, Decidability, Completeness
David Harel, Dexter Kozen, Rohit Parikh |
J. Comput. Syst. Sci. | 3 |
| 1981 | Equations between Regular Terms and an Application to Process LogicabstractRegular terms with the Kleene operations ∪,;, and * can be thought of as operators on languages, generating other languages. An equation r1 = r2 between two such terms is said to be satisfiable just in case languages exist which make this equation true. We show that the satisfiability problem even for *-free regular terms is undecidable. Similar techniques are used to show that a very natural extension of the Process Logic of Harel, Kozen and Parikh is undecidable. Ashok K. Chandra, Joseph Y. Halpern, Albert R. Meyer, Rohit Parikh |
STOC | 4 |
| 1981 | Definability in Dynamic Logic
Albert R. Meyer, Rohit Parikh |
J. Comput. Syst. Sci. | 2 |
| 1981 | Pumping Lemmas for Regular SetsabstractIt is well known that regularity of a language implies certain properties known as pumping lemmas or iteration theorems. However, the question of a converse result has been open. We show that the usual form of pumping is very far from implying regularity but that a strengthened pumping property, the block pumping property, is equivalent to regularity. The proof involves use of the finite version of Ramsey’s theorem. We compare our results with recent results of Jaffe and Beauquier and state some open questions. Andrzej Ehrenfeucht, Rohit Parikh, Grzegorz Rozenberg |
SIAM J. Comput. | 2 |
| 1981 | An Elementary Proof of the Completness of PDL
Dexter Kozen, Rohit Parikh |
Theor. Comput. Sci. | 2 |
| 1980 | Process Logic: Expressiveness, Decidability, CompletenessabstractWe define a process logic PL that subsumes Pratt's process logic, Parikh's SOAPL, Nishimura's process logic, and Pnueli's Temporal Logic in expressiveness. The language of PL is an extension of the language of Propositional Dynamic Logic (PDL). We give a deductive system for PL which includes the Segerberg axioms for PDL and prove that it is complete. We also show that PL is decidable. David Harel, Dexter Kozen, Rohit Parikh |
FOCS | 3 |
| 1980 | Propositional Logics of Programs: Systems, Models, and ComplexityabstractWe indicate below the various results in this paper and the sections where these results are fully described. δ1 is introductory).(δ2). The partial correctness assertion (PCA) A{α}B is expressed in PDL in the form A → [α]B. We shall consider the question of when a given finite set of PCAs implies another and give optimal complexity bounds. We also give other results of an algebraic nature.(δ3). DPDL is less well understood than PDL since the filtration technique of F-L that applies to the latter falls for the former. We point out a translation from PDL to DPDL which leads to a lower bound for the latter.(δ4). What do models of PDL look like? We show the existence of canonical and universal models and show how an infinite model can be related to its F-L factors. Rohit Parikh |
POPL | 1 |
| 1980 | Definability in Dynamic LogicabstractWe study the expressive power of various versions of Dynamic Logic and compare them with each other as well as with standard languages in the logical literature. One version of Dynamic Logic is equivalent to the infinitary logic LCKω1ω, but regular Dynamic Logic is strictly less expressive. In particular, the ordinals ωω and ω ω.2 are indistinguishable by formulas of regular Dynamic Logic. Albert R. Meyer, Rohit Parikh |
STOC | 2 |
| 1978 | A Decidability Result for a Second Order Process LogicabstractWe prove the decidability of the validity problem for a rather general language for talking about computations. As corollaries of our result, we obtain some decidability results of Pratt, Constable, Fischer-Ladner, and Pnueli and also a new decidability result for deterministic propositional dynamic logic. Rohit Parikh |
FOCS | 1 |
| 1978 | The Completeness of Propositional Dynamic Logic
Rohit Parikh |
MFCS | 1 |
| 1971 | Existence and Feasibility in Arithmeticabstract“From two integers k, l one passes immediately to kl; this process leads in a few steps to numbers which are far larger than any occurring in experience, e.g., 67(257729). Intuitionism, like ordinary mathematics, claims that this number can be represented by an arabic numeral. Could not one press further the criticism which intuitionism makes of existential assertions and raise the question: What does it mean to claim the existence of an arabic numeral for the foregoing number, since in practice we are not in a position to obtain it? Rohit Parikh |
J. Symb. Log. | 1 |
| 1966 | On Context-Free LanguagesabstractIn this report, certain properties of context-free (CF or type 2) grammars are investigated, like that of Chomsky. In particular, questions regarding structure, possible ambiguity and relationship to finite automata are considered. The following results are presented: The language generated by a context-free grammmar is linear in a sense that is defined precisely. The requirement of unambiguity—that every sentence has a unique phrase structure—weakens the grammar in the sense that there exists a CF language that cannot be generated unambiguously by a CF grammar. The result that not every CF language is a finite automaton (FA) language is improved in the following way. There exists a CF language L such that for any L′ ⊆ L , if L′ is FA, an L″ ⊆ L can be found such that L″ is also FA, L′ ⊆ L″ and L″ contains infinitely many sentences not in L′ . A type of grammar is defined that is intermediate between type 1 and type 2 grammars. It is shown that this type of grammar is essentially stronger than type 2 grammars and has the advantage over type 1 grammars that the phrase structure of a grammatical sentence is unique, once the derivation is given. Rohit Parikh |
J. ACM | 1 |