Skip to search formSkip to main contentSkip to account menu

Michael Gelfond

Michael Gelfond is a Professor in Computer Sciences at Texas Tech University. He received a degree in mathematics from the Steklov Institute of… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2012
2012
This paper extends action language $\mathcal{C}+$ by introducing composite actions as sequential execution of primitive actions… 
2009
2009
INTRODUCTION The agent paradigm has recently increased its influence in the research and development of computational logic-based… 
2008
2008
We discuss the development, current state and the future of Answer Set Programming, making predictions that are not necessarily… 
2006
2006
This paper describes a family of knowledge representation problems, whose intuitive solutions require reasoning about defaults… 
2005
2005
This paper develops a solution to the analogue of the frame problem that arises when the belief state of an agent is axiomatized… 
2005
2005
ConclusionsWe have proved a number of results on nonmonotonic rule systems. This theory allows us to capture many constructions… 
2004
2004
The causal logic from (Bochman 2003b) is shown to provide a natural logical basis for logic programming. More exactly, it is… 
2001
2001
The main goal of this paper is to continue the investigation of applicability of A-Prolog (a loosely defined collection of logic… 
1997
1997
Some of the recent work on representing action makes use of high-level action languages. In this paper we show that an action… 
Highly Cited
1987
Highly Cited
1987
In a fluent, clear, and lively style this translation by two of Maslov's junior colleagues brings the work of the late Soviet…