Objective This paper reviews recent articles related to human trust in automation to guide
research and design for increasingly capable automation in complex work environments …

Automation is often problematic because people fail to rely upon it appropriately. Because
people respond to technology socially, trust influences reliance on automation. In particular …

With recent advancements in natural language processing, Large Language Models (LLMs)
have emerged as powerful tools for various real-world applications. Despite their prowess …

Problems of cooperation--in which agents seek ways to jointly improve their welfare--are
ubiquitous and important. They can be found at scales ranging from our daily routines--such …

Over the last few years there has been rapid research growth into eXplainable Artificial
Intelligence (XAI) and the closely aligned Interpretable Machine Learning (IML). Drivers for …

This article presents an overview of multi-agent system models of land-use/cover change
(MAS/LUCC models). This special class of LUCC models combines a cellular landscape …

Agent-based computing represents an exciting new synthesis both for Artificial Intelligence
(AI) and, more generally, Computer Science. It has the potential to significantly improve the …

An increasing number of computer systems are being viewed in terms of autonomous
agents. There are two main drivers to this trend. Firstly, agents are being advocated as a …

Tacit knowledge sharing discussed in this study is important in the area of business ethics,
because an unwillingness to share knowledge that may hurt an organization's survival is …

Artificial Intelligence (AI) could be an important foundation of competitive advantage in the
market for firms. As such, firms use AI to achieve deep market engagement when the firm's …