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 …

As large language models (LLMs) continue to make significant strides, their better
integration into agent-based simulations offers a transformational potential for …

This paper brings together agent oriented programming, organisation oriented programming
and environment oriented programming, all of which are programming paradigms that …

In this paper we address the engineering of complex and emerging computational systems
featuring situatedness, adaptivity and self-organisation, like pervasive computing …

The World Wide Web has evolved drastically over the past decade–and the proliferation of
Web APIs has turned it into the middle-ware of choice for most distributed systems. The …

Multi-agent systems (MAS) have long been envisioned as a key enabling technology in
manufacturing, but this promise is yet to be realized: the lack of proper models, architectures …

It is claimed that, in the nascent 'Cognitive Era', intelligent systems will be trained using
machine learning techniques rather than programmed by software developers. A contrary …

Hypermedia APIs enable the design of reusable hypermedia clients that discover and
exploit affordances on the Web. However, the reusability of such clients remains limited …

A well studied problem in the engineering of open MASs is to enable uniform interaction
among heterogeneous agents. However, AOSE as a field has grown to recognize that a …

Abstract Cyber–Physical Systems (CPS) interconnect embedded computing technologies
into the physical world, forming a complex, multi-disciplinary, physically-effective system …