Dynamic systems play a central role in fields such as planning, verification, and databases. Fragmented throughout these fields, we find a multitude of languages to formally specify dynamic systems and a multitude of systems to reason on such specifications. Often, such systems are bound to one specific language and one specific inference task. It is troublesome that performing several inference tasks on the same knowledge requires translations of your specification to other languages. In this paper we study whether it is possible to perform a broad set of well-studied inference tasks on one specification. More concretely, we extend IDP3 with several inferences from fields concerned with dynamic specifications.status: publishe
International audienceLearning from interpretation transition (LFIT) automatically constructs a mode...
We devise a general framework for formalizing Description Logic Based Dynamic Systems that is parame...
Modeling a complex phenomenon such as the mind presents tremendous computational complexity challeng...
Dynamic systems play a central role in fields such as planning, verification, and databases. Fragmen...
Dynamical systems are mathematical models of change or motion over time. They are ubiqui...
A number of formal specification languages for knowledge-based systems has been developed. Character...
AbstractThe main goal of this paper is to outline a methodology of programming in dynamic problem do...
A dynamic reasoning system (DRS) is an adaptation of a conventional formal logical system that expli...
peer reviewedWe suggest a general logical framework for causal dynamic reasoning. As a first step, w...
We devise a general framework for formalizing Dynamic Systems centered around a Description Logic kn...
Many systems in robotics and beyond may be classified as mixed logical-dynamical (MLD) systems. Thes...
To model the dynamics of cognitive processes, often the Dynamical Systems Theory (DST) is advocated....
A dynamic reasoning system (DRS) is an adaptation of a conventional formal logical system that expli...
To model the dynamics of cognitive processes, often the dynamical systems theory (DST) is advocated....
International audienceThis chapter provides an overview of approaches relating to the development of...
International audienceLearning from interpretation transition (LFIT) automatically constructs a mode...
We devise a general framework for formalizing Description Logic Based Dynamic Systems that is parame...
Modeling a complex phenomenon such as the mind presents tremendous computational complexity challeng...
Dynamic systems play a central role in fields such as planning, verification, and databases. Fragmen...
Dynamical systems are mathematical models of change or motion over time. They are ubiqui...
A number of formal specification languages for knowledge-based systems has been developed. Character...
AbstractThe main goal of this paper is to outline a methodology of programming in dynamic problem do...
A dynamic reasoning system (DRS) is an adaptation of a conventional formal logical system that expli...
peer reviewedWe suggest a general logical framework for causal dynamic reasoning. As a first step, w...
We devise a general framework for formalizing Dynamic Systems centered around a Description Logic kn...
Many systems in robotics and beyond may be classified as mixed logical-dynamical (MLD) systems. Thes...
To model the dynamics of cognitive processes, often the Dynamical Systems Theory (DST) is advocated....
A dynamic reasoning system (DRS) is an adaptation of a conventional formal logical system that expli...
To model the dynamics of cognitive processes, often the dynamical systems theory (DST) is advocated....
International audienceThis chapter provides an overview of approaches relating to the development of...
International audienceLearning from interpretation transition (LFIT) automatically constructs a mode...
We devise a general framework for formalizing Description Logic Based Dynamic Systems that is parame...
Modeling a complex phenomenon such as the mind presents tremendous computational complexity challeng...