Augmented analytics is a type of in which machine learning and artificial intelligence are used to provide users with more advanced understandable analytical capabilities. Data preparation, analysis, result interpretation all automated steps the analysis method. Natural language processing (NLP), data collection, learning, visualization, explainable AI, collaborative some techniques augmented a...

Organization theory is a discipline on the boundary between economics of organizations, sociology of organizations, management and political science. She is interested in organizations, both commercial and non-commercial, in all their diversity (company, hospital, union, organization, administration, conventions). It analyzes their functioning, structure and development for the purpose of...

This paper proposes a new abstract framework for modelling interactions among agents in multi-agent organizations. The proposed model -the model of interaction categories, or MIgories exhibits compositionality of interactions as well as emergence of behavior that is not explicitly designed at the organizational level. The proposed framework is expressive enough to model some of the commonly obs...

Losses from the proton and antiproton beams of the Fermilab Tevatron have been shown to produce a halo which contribute to backgrounds to physics signals in the Collider Detector at Fermilab (CDF). To provide a measure of the beam halo and losses, we have installed arrays of scintillation counters on both sides of the CDF detector. We describe here the physical configuration of these counters, ...

Network analysis, as understood for our purposes, is a method to analyze people and their relationships. This approach aims at the description of structures and positions from a network perspective. This kind of network research describes relationships of interactions between network members, known as “actors”,52 like individuals or organizations through precise and subtle analysis that tries t...

Recent advances in high throughput data acquisition and data storage technologies call for designing distributed agents that are able to learn This paper proposes a new abstract framework for modelling interactions among agents in multi-agent organizations. The proposed model – the model of interaction categories, or MIgories exhibits compositionality of interactions as well as emergence of beh...