Artificial intelligence (AI) systems hold great promise as decision-support tools, but we must
be able to identify and understand their inevitable mistakes if they are to fulfill this potential …

Finding reliable partners to interact with in open environments is a challenging task for
software agents, and trust and reputation mechanisms are used to handle this issue. From …

In open and dynamic multiagent systems (MASs), agents often need to rely on resources or
services provided by other agents to accomplish their goals. During this process, agents are …

Large Language Model (LLM) agents have been increasingly adopted as simulation tools to
model humans in applications such as social science. However, one fundamental question …

In many dynamic open systems, autonomous agents must interact with one another to
achieve their goals. Such agents may be self-interested and, when trusted to perform an …

Despite the fact it has been recognised since Aristotle that ethos and credibility play a critical
role in many types of communication, these facts are rarely studied in linguistically oriented …

Recently, multi-agent systems (MASs) have received attention due to the consideration of
distributed optimization and control in blockchain (BC) based energy trading applications …

Reputation-based approaches allow a crowdsourcing system to identify reliable workers to
whom tasks can be delegated. In crowdsourcing systems that can be modeled as multi …

Smart environments are able to support users during their daily life. For example, smart
energy systems can be used to support energy saving by controlling devices, such as lights …

Despite the advances made in artificial intelligence, software agents, and robotics, there is
little we see today that we can truly call a fully autonomous system. We conjecture that the …