Names: Scholz, Tobias, author. Title: Big data in organizations and the role of human
resource management: a complex systems theory-based conceptualization/Tobias M …

Abductive reasoning generates explanatory hypotheses for new observations using prior
knowledge. This paper investigates the use of forgetting, also known as uniform …

Semi-formally represented knowledge, such as the use of standardized keywords, is a
traditional and valuable mechanism for helping people to access information. Extending that …

We present Causal ABM, a methodology to derive causal structures describing complex
underlying behavioral phenomena. Agent-based models (ABMs) have powerful advantages …

Self-supervised learning is the ability of an agent to improve its own performance, with
respect to one or more goals related to one or more phenomena, without outside help from a …

In abductive reasoning, preference criteria for selecting the best explanation are regarded
as qualitative properties (like being simpler or more plausible) which are beyond the pure …

This article introduces abductive case‐based reasoning (CBR) and attempts to show that
abductive CBR and deductive CBR can be integrated in clinical process and problem …

We propose a logic of abduction that (i) provides an appropriate formalization of the
explanatory conditional, and that (ii) captures the defeasible nature of abductive inference …

Efforts to formalize qualitative accounts of inference to the best explanation (IBE) confront
two obstacles: the imprecise nature of such accounts and the unusual logical properties that …

Abduction was first introduced in the epistemological context of scientific discovery. It was
more recently analyzed in artificial intelligence, especially with respect to diagnosis analysis …