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Rohit Parikh

dblp:09/2064 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Knowledge representation and reasoning
belief representation and revision
0.011999
An Inconsistency Tolerant Model for Belief Representation and Belief Revision · IJCAI 1999
Logic in computer science › model theory
logical characterization
0.011995
A Logical Study of Distributed Transition Systems · Inf. Comput. 1995
Logic in computer science
semantics
0.011995
A Logical Study of Distributed Transition Systems · Inf. Comput. 1995
Logic in computer science
transition systems
0.011995
A Logical Study of Distributed Transition Systems · Inf. Comput. 1995
Logic in computer science › modal logic › dynamic logic
process logic
0.041985
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
0.031983
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
0.021985
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
0.011986
Levels of Knowledge in Distributed Computing · LICS 1986
Computational complexity › descriptive complexity
expressive power
0.021980
Definability in Dynamic Logic · STOC 1980
Process Logic: Expressiveness, Decidability, Completeness · FOCS 1980
Automata and formal languages › regular languages
regular expressions
0.011985
Equations Between Regular Terms and an Application to Process Logic · SIAM J. Comput. 1985
Computational complexity
decidability
0.021980
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
0.011983
Propositional Game Logic · FOCS 1983
Logic in computer science
completeness and decidability
0.011983
Propositional Game Logic · FOCS 1983
Logic in computer science › modal logic
game logic
0.011983
Propositional Game Logic · FOCS 1983
Logic in computer science
temporal logic
0.011983
Propositional Game Logic · FOCS 1983
Automata and formal languages › regular languages
pumping lemma
0.011981
Pumping Lemmas for Regular Sets · SIAM J. Comput. 1981
Automata and formal languages
regular languages
0.011981
Pumping Lemmas for Regular Sets · SIAM J. Comput. 1981
Logic in computer science
completeness
0.011980
Process Logic: Expressiveness, Decidability, Completeness · FOCS 1980
Logic in computer science › modal logic
dynamic logic
0.011980
Definability in Dynamic Logic · STOC 1980
Logic in computer science
modal logic
0.011980
Process Logic: Expressiveness, Decidability, Completeness · FOCS 1980
Automated reasoning and model checking › automated reasoning
validity problem
0.011978
A Decidability Result for a Second Order Process Logic · FOCS 1978
Automata and formal languages
context-free languages
0.011966
On Context-Free Languages · J. ACM 1966
Automata and formal languages › grammar formalisms
grammar hierarchies
0.011966
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
YearPublicationVenuePosition
2017 An Epistemic Generalization of Rationalizability
Rohit Parikh
WoLLIC1
2005 Logical omniscience and common knowledge: WHAT do we know and what do WE know?
Rohit Parikh
TARK1
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
JELIA3
1999 An Inconsistency Tolerant Model for Belief Representation and Belief Revision
Samir Chopra, Rohit Parikh
IJCAI2
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
TARK2
1991 Monotonic and non-monotonic logics of knowledge
Rohit Parikh
Fundam. Informaticae1
1991 Preface
Rohit Parikh
Inf. Comput.1
1990 Recent Issues in Reasoning about Knowledge
Rohit Parikh
TARK1
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
FSTTCS1
1987 Knowledge and the Problem of Logical Omniscience
Rohit Parikh
ISMIS1
1986 Levels of Knowledge in Distributed Computing
Rohit Parikh
LICS1
1985 Equations Between Regular Terms and an Application to Process Logic
abstract
Regular 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
FSTTCS1
1983 Propositional Logics of Programs: New Directions
Rohit Parikh
FCT1
1983 Propositional Game Logic
abstract
We 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
FOCS1
1983 Some Applications of Topology to Program Semantics
Rohit Parikh
Math. Syst. Theory1
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 Logic
abstract
Regular 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
STOC4
1981 Definability in Dynamic Logic
Albert R. Meyer, Rohit Parikh
J. Comput. Syst. Sci.2
1981 Pumping Lemmas for Regular Sets
abstract
It 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, Completeness
abstract
We 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
FOCS3
1980 Propositional Logics of Programs: Systems, Models, and Complexity
abstract
We 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
POPL1
1980 Definability in Dynamic Logic
abstract
We 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
STOC2
1978 A Decidability Result for a Second Order Process Logic
abstract
We 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
FOCS1
1978 The Completeness of Propositional Dynamic Logic
Rohit Parikh
MFCS1
1971 Existence and Feasibility in Arithmetic
abstract
“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 Languages
abstract
In 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. ACM1