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Visar resultat 1 - 5 av 447 avhandlingar som matchar ovanstående sökkriterier.

1. 1. Norm-Regulation of Agent Systems : Instrumentalizing an algebraic approach to agent system norms

   Författare :Magnus Hjelmblom; Magnus Boman; Jan Odelstad; Kim Solin; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Agent System; Norm-regulated; Norm-governed; Normative MAS; Normative Positions; Normative system; Transition system; Computer and Systems Sciences; data- och systemvetenskap;

   Sammanfattning : An architecture for norm-regulated multi-agent systems based on an algebraic approach to normative systems is instrumentalized and further developed. The core of the instrumentalization is a Prolog module, which together with a Java library can be used for creating client/server-based runtime systems. LÄS MER

3. 2. Channel Gain Prediction for Cooperative Multi-Agent Systems

   Författare :Markus Fröhle; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Gaussian processes; channel prediction; multi-agent systems; spatial correlation; wireless ad-hoc networks; parameter learning; distributed algorithms;

   Sammanfattning : In a cooperative multi-agent system (MAS), agents communicate with each other using the wireless medium. As agents move in the environment in order to fulfill the MAS' higher level task, their location changes and so does the wireless communication channel they experience. LÄS MER

4. 3. A Learning-driven Approach for Behavior Modeling in Agent-based Simulation

   Författare :Robert Junges; Franziska Klügl; Mathias Broxvall; Lars Braubach; Örebro universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; agent-based simulation; agent modeling; agent learning;

   Sammanfattning : Agent-based simulation is a prominent application of the agent-based system metaphor. One of the main characteristics of this simulation paradigm is the generative nature of the outcome: the macro-level system behavior is generated from the micro-level agent behavior. LÄS MER

5. 4. On the Feasibility of Reinforcement Learning in Single- and Multi-Agent Systems : The Cases of Indoor Climate and Prosumer Electricity Trading Communities

   Författare :Ross May; Kenneth Carling; Mengjie Han; Xingxing Zhang; Zoltán Nagy; Högskolan Dalarna; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Reinforcement Learning; Multi-Agent Reinforcement Learning; Buildings; Indoor Climate; Occupant Comfort; Positive Energy Districts; Peer-to-Peer Markets; Complex Adaptive Systems;

   Sammanfattning : Over half of the world’s population live in urban areas, a trend which is expected to only grow as we move further into the future. With this increasing trend in urbanisation, challenges are presented in the form of the management of urban infrastructure systems. LÄS MER

7. 5. Systematic Data-Driven Continual Self-Learning

   Författare :Diarmuid Corcoran; Magnus Boman; Steven Latré; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Data-Driven Methods; Self-Learning Systems; Reinforcement Learning Algorithms; Implementation Architectures; Datadrivna metoder; Självlärande system; Reinforcement Learning-algoritmer; Implementeringsarkitekturer;

   Sammanfattning : There is a lot of unexploited potential in using data-driven and self-learning methods to dramatically improve automatic decision-making and control in complex industrial systems. So far, and on a relatively small scale, these methods have demonstrated some potential to achieve performance gains for the automated tuning of complex distributed systems. LÄS MER