Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Michael Bartholomew is active.

Publication


Featured researches published by Michael Bartholomew.


international joint conference on artificial intelligence | 2011

First-order extension of the FLP stable model semantics via modified circumscription

Michael Bartholomew; Yunsong Meng

We provide reformulations and generalizations of both the semantics of logic programs by Faber, Leone and Pfeifer and its extension to arbitrary propositional formulas by Truszczynski. Unlike the previous definitions, our generalizations refer neither to grounding nor to fixpoints, and apply to first-order formulas containing aggregate expressions. In the same spirit as the first-order stable model semantics proposed by Ferraris, Lee and Lifschitz, the semantics proposed here are based on syntactic transformations that are similar to circumscription. The reformulations provide useful insights into the FLP semantics and its relationship to circumscription and the first-order stable model semantics.


european conference on logics in artificial intelligence | 2014

System aspmt2smt: Computing ASPMT Theories by SMT Solvers

Michael Bartholomew

Answer Set Programming Modulo Theories (ASPMT) is an approach to combining answer set programming and satisfiability modulo theories based on the functional stable model semantics. It is shown that the tight fragment of ASPMT programs can be turned into SMT instances, thereby allowing SMT solvers to compute stable models of ASPMT programs. In this paper we present a compiler called aspsmt2smt, which implements this translation. The system uses ASP grounder gringo and SMT solver z3. gringo partially grounds input programs while leaving some variables to be processed by z3. We demonstrate that the system can effectively handle real number computations for reasoning about continuous changes.


Theory and Practice of Logic Programming | 2013

On the stable model semantics for intensional functions

Michael Bartholomew

Several extensions of the stable model semantics are available to describe “intensional” functions—functions that can be described in terms of other functions and predicates by logic programs. Such functions are useful for expressing inertia and default behaviors of systems, and can be exploited for alleviating the grounding bottleneck involving functional fluents. However, the extensions were defined in different ways under different intuitions. In this paper we provide several reformulations of the extensions, and note that they are in fact closely related to each other and coincide on large syntactic classes of logic programs.


principles of knowledge representation and reasoning | 2012

Stable models of formulas with intensional functions

Michael Bartholomew


international joint conference on artificial intelligence | 2013

Functional stable model semantics and answer set programming modulo theories

Michael Bartholomew


principles of knowledge representation and reasoning | 2010

A Decidable Class of Groundable Formulas in the General Theory of Stable Models

Michael Bartholomew


national conference on artificial intelligence | 2011

First-Order Semantics of Aggregates in Answer Set Programming Via Modified Circumscription

Michael Bartholomew; Yunsong Meng


principles of knowledge representation and reasoning | 2014

Stable models of multi-valued formulas: partial versus total functions

Michael Bartholomew


Archive | 2014

Computing ASPMT Theories by SMT Solvers

Michael Bartholomew


Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2014

System ASPMT2SMT: Computing ASPMT theories by SMT solvers

Michael Bartholomew

Collaboration


Dive into the Michael Bartholomew's collaboration.

Top Co-Authors

Avatar

Yunsong Meng

Arizona State University

View shared research outputs
Researchain Logo
Decentralizing Knowledge