Essays about: "intelligent agents"

Showing result 1 - 5 of 55 essays containing the words intelligent agents.

  1. 1. Question-answering chatbot for Northvolt IT Support

    University essay from Uppsala universitet/Signaler och system

    Author : Daniel Hjelm; [2023]
    Keywords : Artificial intelligence; Chatbot; Natural language processing; Natural language understanding; Machine learning; Deep learning; Transformer; Question answering; Conversational agents; Conversational AI;

    Abstract : Northvolt is a Swedish battery manufacturing company that specializes in the production of sustainable lithium-ion batteries for electric vehicles and energy storage systems. Established in 2016, the company has experienced significant growth in recent years. READ MORE

  3. 2. S-MARL: An Algorithm for Single-To-Multi-Agent Reinforcement Learning : Case Study: Formula 1 Race Strategies

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Marinaro Davide; [2023]
    Keywords : Reinforcement Learning; Single-to-Multi-Agent; Learning Stability; Exploration-Exploitation trade-off; Race Strategy Optimization; Förstärkningsinlärning; Från en till flera agenter; Stabilitet vid inlärning; Utforskning-exploatering; Optimering av tävlingsstrategier;

    Abstract : A Multi-Agent System is a group of autonomous, intelligent, interacting agents sharing an environment that they observe through sensors, and upon which they act with actuators. The behaviors of these agents can be either defined upfront by programmers or learned by trial-and-error resorting to Reinforcement Learning. READ MORE

  4. 3. Don’t be unfair, Mr Bot! : An empirical study exploring the perception of fairness in non-work settings for human-agent interactions

    University essay from Umeå universitet/Institutionen för informatik

    Author : August Bäckström; William Ekenberg; [2023]
    Keywords : Fairness; Anthropomorphism; Experiment study; Social interaction; Agents; Intelligent agents; User enactment; Wizard of Oz.; Experience prototyping; Focus group;

    Abstract : This study aimed to explore the implementation of fairness in intelligent agents to enhance their interactions in our social space. Two distinct investigations, an experiment, and a focus group, were conducted to examine the impact of unfair treatment by non-anthropomorphic and anthropomorphic agents, where we sought to answer the research question: How does experiencing unfair treatment from agents with different appearances influence individuals' perceptions, satisfaction, and trust? The experiment encompassed four experimental conditions combining fair and unfair behaviours with agents displaying human-like or non-human-like appearances. READ MORE

  5. 4. Using Backward Chained Behavior Trees to Control Cooperative Minecraft Agents

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Justin Salér; [2023]
    Keywords : Behavior-Based Systems; Multi-Agent Systems; Behavior Trees; Minecraft; Beteendebaserade system; multiagentssystem; beteendeträd; Minecraft;

    Abstract : This report presents a strategy to control multiple collaborative intelligent agents acting in a complex, versatile environment. The proposed method utilizes back-chained behavior trees and 1-to-1 task distribution. The agents claim a task, which prevents other agents in the system to start working on the same task. READ MORE

  6. 5. Cooperative Modular Neural Networks for Artificial Intelligence in Games : A Comparison with A Monolithic Neural Network Regarding Technical Aspects and The Player Experience

    University essay from Blekinge Tekniska Högskola/Fakulteten för datavetenskaper

    Author : Emil Högstedt; Ove Ødegård; [2023]
    Keywords : Neural Network; Modularization; Sensor; Reinforcement Learning; Supervised Learning; Neuralt Nätverk; Modulärisering; Sensor; Förstärkningsinlärning; Väglett Lärande;

    Abstract : Recent years have seen multiple machine-learning research projects concerning agents in video games. Yet, there is a disjoint between this academic research and the video game industry, evidenced by the fact that game developers still hesitate to use neural networks (NN) due to lack of clarity and control. READ MORE