Precisely when the success of artificial intelligence (AI) sub-symbolic techniques makes
them be identified with the whole AI by many non-computer-scientists and non-technical …

A broad range of companies around the world has welcomed artificial intelligence (AI)
technology in daily practices because it provides decision-makers with comprehensive and …

Business process design is primarily driven by process improvement objectives. However,
the role of control objectives stemming from regulations and standards is becoming …

The main concepts and techniques of multi-agent oriented programming, which supports the
multi-agent systems paradigm at the programming level. A multi-agent system is an …

This paper proposes a novel model for automatic construction of business processes called
IPCASCI (Intelligent business Processes Composition based on multi-Agent systems …

The social and organisational aspects of agency have led to a good amount of theoretical
work in terms of formal models and theories. However, the conception and engineering of …

Agent-based models (ABMs) are increasingly being used for exploring and supporting
decision making about social science scenarios involving modelling of human agents …

This work proposes a notion of accountability for multi-agent systems, that supports the
development of robust distributed systems. Accountability is grounded on responsibility, and …

Multiagent systems have become popular over the last few years for building complex,
adaptive systems in a distributed, heterogeneous setting. Multiagent systems tend to be …