Sökning: "Julian Togelius"

Hittade 4 avhandlingar innehållade orden Julian Togelius.

  1. 1. Exploring Game Design through Human-AI Collaboration

    Författare :Alberto Alvarez; Jose Font; Julian Togelius; Steve Dahlskog; Nancy L Russo; Georgios N. Yannakakis; Malmö universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Computer Games; Human-AI Collaboration; Mixed-Initiative; Procedural Content Generation; Quality Diversity; Computational Creativity; Interaktionsdesign; Interaktionsdesign;

    Sammanfattning : Game design is a hard and multi-faceted task that intertwines different gameplay mechanics, audio, level, graphic, and narrative facets. Games' facets are developed in conjunction with others with a common goal that makes games coherent and interesting. LÄS MER

  2. 2. Exploring the Dynamic Properties of Interaction in Mixed-Initiative Procedural Content Generation

    Författare :Alberto Alvarez; Jose Font; Steve Dahlskog; Julian Togelius; Nancy L Russo; Sebastian Risi; Malmö universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Mixed-Initiative; Procedural Content Generation; Quality Diversity; Computer Games; Evolutionary Algorithms;

    Sammanfattning : As AI develops, grows, and expands, the more benefits we can have from it. AI is used in multiple fields to assist humans, such as object recognition, self-driving cars, or design tools. However, AI could be used for more than assisting humans in their tasks. LÄS MER

  3. 3. A Multi-Agent Potential Field Based Approach for Real-Time Strategy Game Bots

    Författare :Johan Hagelbäck; Stefan J. Johansson; Julian Togelius; Blekinge Tekniska Högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Computer Science; Datavetenskap;

    Sammanfattning : Computer games in general and Real-Time Strategy (RTS) games in particular provide a rich challenge for both human- and computer controlled players, often denoted as bots. The player or bot controls a large number of units that have to navigate in partially unknown dynamic worlds to pursue a goal. LÄS MER

  4. 4. Reinforcement Learning for Improved Utility of Simulation-Based Training

    Författare :Johan Källström; Fredrik Heintz; Erik Herzog; Julian Togelius; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : Team training in complex domains often requires a substantial number of resources, e.g. vehicles, machines, and role-players. For this reason, it may be difficult to realise efficient and effective training scenarios in a real-world setting. LÄS MER