Dániel László Kovács

Dániel László Kovács
Budapest University of Technology and Economics · Department of Measurement and Information Systems

M.Sc. in Computer Science

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17
Publications
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42
Citations

Publications

Publications (17)
Article
Full-text available
This article reports on the first international Competition of Distributed and Multiagent Planners (CoDMAP). The competition focused on cooperative domain-independent planners compatible with a minimal multiagent extension of the classical planning model. The motivations for the competition were manifold: to standardize the problem description lang...
Article
As a part of the workshop on Distributed and Multiagent Planning (DMAP) at the International Conference on Automated Planning and Scheduling (ICAPS) 2015, we have organized a competition in distributed and multiagent planning. The main aims of the competition were to consolidate the planners in terms of input format; to promote development of multi...
Article
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This paper presents algorithms for converting multi-agent planning (MAP) problems described in Multi-Agent Planning Domain Definition Language (MA-PDDL) to extensive-form games in order to analyse and solve them with game-theoretic tools in general. MA-PDDL is an attempt to standardize the description of MAP problems similarly to PDDL in the single...
Conference Paper
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Optimizing overall performance of Wireless Sensor Networks (WSNs) is important due to the limited resources available to nodes. Several aspects of this optimization problem have been studied (e.g. improving Medium Access Control (MAC) protocols, routing, energy management) mostly separately, although there is a strong inter-connection between them....
Article
This paper is a preliminary theoretical investigation of decentralized decision making with bounded resources. We build upon a feasible rationality concept for single agents to enable the formal investigation of the individual and group-level rationality of possibly heterogeneous, decentralized decision makers. We conjecture that it is more realist...
Article
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In this article we present an evolutionary simulation framework for the natural selection of game theoretic player agents. The framework is inspired by evolutionary game theory and the work of Robert Axelrod. Our incentive was to develop an intuitive, realistic implementation of these models where agents are represented individually, each having it...
Conference Paper
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In this paper we present a novel agent-based simulation model for the natural selection of replicating agents whose survival depends on their programs for selecting their strategy to interact with each other. Game theoretic models describe this kind of interaction. The simulator can be used both for analysis, design and verification of autonomous s...
Conference Paper
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Intelligent systems play a crucial role in our everyday life. Yet there is still no general concept for designing such systems (at an individual, social, and inter-social level). Intelligent systems are designed on a case-by-case basis, mostly in an ad-hoc fashion lacking any kind of general design strategy. Nonetheless there are theories, which ca...
Conference Paper
Full-text available
Dynamic intelligent agents are agents capable of intelligent behavior in any chosen dynamic environment. A new agent architecture is proposed, revising the classical concepts of system-environment relation, thus agents capable of "optimal" exploratory behavior and heterogeneous cooperation can be created. At first an overview is presented, followed...
Article
Full-text available
Evolution of intelligent agents, a new approach to automatic planning, is presented here for the first time as a new technique for evolving systems capable of generating "optimal" plans without any prior knowledge of the environment, or any method (i.e. schemata) concerning plan design. The classical model of system- environment interaction is exte...
Article
Full-text available
The problem of designing a given social behavior in a multi-agent system is a well known issue, yet there is still no general concept to solve it. In fact, there is still no theory, that connects the individual behavior of agents with the collective behavior of the multi-agent system in general. Nonetheless there are theories, which capture some pr...

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