Eugenia Kalisz

Polytechnic University of Bucharest | UPB · Department of Computers

This paper proposes a new version of genetic algorithms-the anticipatory genetic algorithm AGA. The performance evaluation included in the paper shows that AGA is superior to traditional genetic algorithm from both speed and accuracy points of view. The paper also presents how this algorithm can be applied to solve a complex problem: image annotati...

The paper presents a model of heuristic negotiation between self-interested agents which allows negotiation over multiple issues of the negotiation object, comprises different types of negotiation primitives, including argument based ones, and a set of rules to conduct negotiation. In order to negotiate strategically and to adapt negotiation to dif...

Emotions have been shown to have an important impact on several human processes such as decision-making, planning, cognition, and learning. In an e-learning system, an artificial tutor capable of effectively understanding and anticipating the student emotions during learning will have a significantly enhanced role. The paper presents a model of an...

Emotions have been shown to have an important role on several human processes such as decision-making, planning, cognition, and, in particular, learning. However, many e-learning systems disregard the emotional aspects of the learning process and the impact of these aspects on the student's performance. The paper presents an intelligent agent with...

This paper deals with a comparison from the precision and stability point of view of different discrete algorithms for simulating differential equation systems, applied in the case of a simple differential system: the harmonic oscillator. It points out the relation between the classical and incursive algorithms and shows the effect of incursion on...

Multi-agent systems (MAS) are represented by communities of agents which, in most cases, have to consider not only their own goals, but also to anticipate the effects of their requests addressed to other agents in their environment. The paper proposes a set of anticipatory attributes that may define agent behavior during interactions with the other...

The paper presents a multi-agent system aiming to solve the problem of rational exploitation of natural renewable resources by self-interested agents, known also as the Tragedy of Commons. The system is geared towards a particular instance of this problem, namely the FishBanks game. The agents use genetic algorithms to build plans for fishing in se...

This paper deals with application of genetic algorithms to action planning and environment evolution prediction in a multi-agent system (MAS). The considered system is represented by a community of competitive agents exploiting natural renewable resources. From the large number of such systems that can be identified in real life, we have considered...

Academic and industrial system designers who consider using agent technology to solve application problems are faced with a wide variety of agent system paradigms. Choosing a paradigm or another is not an easy endeavour, as little knowledge or not too many guidelines exist on how to make the good choice. The paper presents a multi-agent system simu...

Simulation models of continuous systems are in fact discrete computational models. This is the result of applying numerical methods for integrating the differential equations generally used as mathematical models of continuous systems. Under such conditions the values of all variables in the simulation model are computed for discrete values of the...