Learning and learnability have been long standing topics of interests within the linguistic, computational, and epistemological accounts of inductive inference. Johan van Benthem’s vision of the “dynamic turn” has not only brought renewed life to research agendas in logic as the study of information processing, but likewise helped bring logic and learning in close proximity. This proximity relation is examined with respect to learning and belief revision, updating and efficiency, and with respect to how learnability fits in the greater scheme of dynamic epistemic logic and scientific method
AbstractFormal learning theory constitutes an attempt to describe and explain the phenomenon of lear...
tions between language, interpretation and communication are quite clear, in natural language unders...
. Modeling epistemic processes in scientific discovery satisfactorily is an indispensable step to au...
This paper discusses the possibility of modelling inductive inference (Gold 1967) in dynamic epistem...
Abstract. This paper presents a new semantics for inductive empirical knowledge. The epistemic agent...
This book illustrates the program of Logical-Informational Dynamics. Rational agents exploit the inf...
In current studies of knowledge at the interface of logic and epistemology, philosophical positions ...
Abstract. A gentle introduction to the use of knowledge, logic and in-ference in machine learning is...
In this dissertation, we study various perspectives on learning and its relation to knowledge and be...
Formal learning theory constitutes an attempt to describe and explain the phenomenon of learning, in...
Learning is a pervasive topic in Artificial Intelligence (AI). It was already a well expressed conce...
Hintikka’s "Knowledge and Belief" from 1962 is considered the seminal treatise on epistemic logic. I...
A gentle introduction to the use of knowledge, logic and inference in machine learning is given. It ...
Epistemic logic investigates what agents know or believe about certain factual descriptions of the w...
I develop an informational conception of logic as a science fundamentally concerned not with truth b...
AbstractFormal learning theory constitutes an attempt to describe and explain the phenomenon of lear...
tions between language, interpretation and communication are quite clear, in natural language unders...
. Modeling epistemic processes in scientific discovery satisfactorily is an indispensable step to au...
This paper discusses the possibility of modelling inductive inference (Gold 1967) in dynamic epistem...
Abstract. This paper presents a new semantics for inductive empirical knowledge. The epistemic agent...
This book illustrates the program of Logical-Informational Dynamics. Rational agents exploit the inf...
In current studies of knowledge at the interface of logic and epistemology, philosophical positions ...
Abstract. A gentle introduction to the use of knowledge, logic and in-ference in machine learning is...
In this dissertation, we study various perspectives on learning and its relation to knowledge and be...
Formal learning theory constitutes an attempt to describe and explain the phenomenon of learning, in...
Learning is a pervasive topic in Artificial Intelligence (AI). It was already a well expressed conce...
Hintikka’s "Knowledge and Belief" from 1962 is considered the seminal treatise on epistemic logic. I...
A gentle introduction to the use of knowledge, logic and inference in machine learning is given. It ...
Epistemic logic investigates what agents know or believe about certain factual descriptions of the w...
I develop an informational conception of logic as a science fundamentally concerned not with truth b...
AbstractFormal learning theory constitutes an attempt to describe and explain the phenomenon of lear...
tions between language, interpretation and communication are quite clear, in natural language unders...
. Modeling epistemic processes in scientific discovery satisfactorily is an indispensable step to au...