http://popups.lib.uliege.be/1373-5411/index.php?id=2438 Publications of Auteurs Adina Magda Florea fr 0 http://popups.lib.uliege.be/1373-5411/index.php?id=3014 Artificial agents societies are well suited to design and implement open distributed systems. As the complexity of such systems grows, the design of agent societies with a complete pre-defined behaviour is a significant challenge due to the dynamic interactions among agents and between agents and the environment. To overcome existing difficulties, agent systems with emergent behaviour are a fertile area of research and span a large range of applications. The paper presents an analysis of the anticipatory capabilities of multi-agent systems endowed with emergent behaviour, by considering both reactive multi-agent systems and cognitive multi-agent systems. Our approach in analysis is driven by the different levels on which predicted behaviour can be achieved and is illustrated by two scenarios, one for each case of agent system, grounding the view for the cognitive case in our previous related work on self-organizing systems with cognitive agents. Fri, 06 Sep 2024 15:59:38 +0200 Thu, 10 Oct 2024 10:10:18 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=3014 http://popups.lib.uliege.be/1373-5411/index.php?id=2839 The paper presents a model of heuristic negotiation between self-interested agents which allows the use of arguments, negotiation over multiple issues of the negotiation object, single and multi-party negotiation, and learning of the agent's negotiation primitives. The model uses negotiation objects and negotiation frames to separate the object of negotiation from the negotiation process. In order to negotiate strategically, the agents use a reinforcement learning algorithm applied on a specific state space representation of the negotiation process. Tue, 03 Sep 2024 15:20:24 +0200 Tue, 03 Sep 2024 15:21:51 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=2839 http://popups.lib.uliege.be/1373-5411/index.php?id=2433 Most of the existing models of intelligent software agents fail to consider an important aspect of human behavior, namely the impact of emotions on processes such as motivation, decision-making, planning, learning, and anticipation. The paper presents an emotional reasoning model of artificial agents, called Belief-Desire-Emotion( BDE). The model is built upon the influential Belief-Desire-Intention agent architecture and follows the Ortony-Clore-Collin's cognitive appraisal theory of human beings. We describe the different stages of the emotion generation process and emphasize how this process influence theoretical reasoning, such as belief and desire revision, and practical reasoning, such as means-end analysis. Additionally, we propose a set of basic emotions, and we exemplify how they are generated and the way they influence the behavior of our BDE agents. Tue, 20 Aug 2024 12:19:23 +0200 Tue, 08 Oct 2024 17:21:14 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=2433