Sökning: "multiagent games"

Visar resultat 1 - 5 av 6 uppsatser innehållade orden multiagent games.

  1. 1. Recursive knowledge representation for multi-agent games over graphs

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Gustaf Pihl; [2022]
    Nyckelord :MKBSC; KBSC; MAGIIAN; Game Theory; Strategy Synthesis; Knowledge Representation; Epistemic Knowledge; Common Knowledge; MKBSC; KBSC; MAGIIAN; Spelteori; Strategisyntes; Kunskapsrepresentation; Epistemologi; Gemensam kunskap;

    Sammanfattning : In this thesis I explore a construction for Multi-Agent Games of Imperfect Information Against Nature (MAGIIAN) introduced by Gurov et al. called the Multiplayer Knowledge-Based Subset Construction (MKBSC). LÄS MER

  3. 2. Interpretations of epistemic mu-calculus over multi-agent games

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Nikitas Stathatos; [2022]
    Nyckelord :epistemic logic; game theory; multi-agent systems; semantics; epistemisk logik; spelteori; multi-agent systems; semantiker;

    Sammanfattning : In this work, we are interested in expressing and studying certain formal properties of multi-agent games. In particular, we are interested in the case in which a team of agents with imperfect information is playing against the environment. LÄS MER

  4. 3. Simulating the Effects of Higher-Order Knowledge on Multi-agent Games with Imperfect Information

    Kandidat-uppsats, KTH/Datavetenskap

    Författare :David Åsberg; Marcus Oscarsson; [2022]
    Nyckelord :;

    Sammanfattning : In this paper we research teams of agents working together to achieve a common goal. In particular, we are interested in how agents’ knowledge about others’ knowledge affects their efficiency in achieving their goal and how this in turn is affected by their uncertainty about the environment. LÄS MER

  5. 4. Epistemic Logic for the Multi-Agent Knowledge-Based Subset Construction

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Carl Åkerman Rydbeck; [2021]
    Nyckelord :;

    Sammanfattning : We study multi-agent games on graphs, in relation to the multi-agent knowledgebased subset construction (MKBSC) – a mathematical tool for knowledgebased strategy synthesis. We consider the problem of applying a formal logic related to agent knowledge in this context. LÄS MER

  7. 5. Adversarial learning in a multi-agent environment

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Max Truedsson; Erik Westergren; [2020]
    Nyckelord :;

    Sammanfattning : Reinforcement learning is one of the main paradigms of machine learning. In this paradigm learners (agents) are not explicitly told what to do, instead they must on their own explore their environment and determine which actions to take, in order to maximize some numerical signal. LÄS MER