Sökning: "artificiell agent"

Visar resultat 1 - 5 av 62 uppsatser innehållade orden artificiell agent.

1. 1. Användning av generativ AI inom digital innovation : En kvalitativ studie ur innovatörers perspektiv

   Kandidat-uppsats,

   Författare :Andreas Süvari; Rebecca Wallmark; [2023]
   Nyckelord :Artificial Intelligence; Generative AI; Innovation; Digital Innovation; ChatGPT; Innovation Process; Innovation Agent; Large Language Model.; Artificiell Intelligens; Generativ AI; Innovation; Digital Innovation; Chat GPT; Innovationsprocess; Innovationsledare; Large Language Model.;

   Sammanfattning : Påskyndat av teknik går utvecklingen snabbare än någonsin. Generativ AI har blivit tillgänglig för allmänheten. Det ger möjligheter för verksamheter att nyttja AI-teknik utan större insatser och kunskap. Detta skiftar förutsättningarna inom digital innovation. LÄS MER

3. 2. Deep Reinforcement Learning on Social Environment Aware Navigation based on Maps

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

   Författare :Victor Sanchez; [2023]
   Nyckelord :Deep Reinforcement Learning; Environment-aware navigation; Robotics; Artificial Intelligence; Apprentissage par renforcement profond; Navigation consciente de l’humain; Intelligence Artificielle; Robotique; Djup Förstärkande Inlärning; Människomedveten navigering; Robotik; Artificiell Intelligens;

   Sammanfattning : Reinforcement learning (RL) has seen a fast expansion in recent years of its successful application to a range of decision-making and complex control tasks. Moreover, deep learning offers RL the opportunity to enlarge its spectrum of complex fields. LÄS MER

4. 3. Improving Behavior Trees that Use Reinforcement Learning with Control Barrier Functions : Modular, Learned, and Converging Control through Constraining a Learning Agent to Uphold Previously Achieved Sub Goals

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

   Författare :Jannik Wagner; [2023]
   Nyckelord :Behavior Trees; Reinforcement Learning; Control Barrier Functions; Robotics; Artificial Intelligence; Verhaltensbäume; Verstärkendes Lernen; Kontrollbarrierefunktionen; Robotik; Künstliche Intelligenz; Beteendeträd; Förstärkningsinlärning; Kontrollbarriärfunktioner; Robotik; Artificiell Intelligens;

   Sammanfattning : This thesis investigates combining learning action nodes in behavior trees with control barrier functions based on the extended active constraint conditions of the nodes and whether the approach improves the performance, in terms of training time and policy quality, compared to a purely learning-based approach. Behavior trees combine several behaviors, called action nodes, into one behavior by switching between them based on the current state. LÄS MER

5. 4. Evaluating the performance of a team consisting of an advanced agent and a less advanced agent in the game Manille : A comparison of agents trained using the CFR algorithm with and without abstractions.

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

   Författare :Oliver Lindgren; Leonardo Rezza; [2023]
   Nyckelord :;

   Sammanfattning : Making artificial intelligence (AI) algorithms solve games has always been an interesting benchmark of AI research. Perfect information games like Chess can be played on a level beyond human capabilities. LÄS MER

7. 5. Social agents, stereotypes and adoption : Exploring the effects of stereotypes on social agent interaction and examining patterns of social agent adoption

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

   Författare :Hugo E. Norberg; Karim Nettelbladt; Philip Nilsson; [2023]
   Nyckelord :;

   Sammanfattning : The rapid advancement of artificial intelligence and robotics has opened up new possibilities for the creation of human-like robots and social virtual agents. As these lifelike robots continue to be developed, it becomes crucial to investigate the potential impact of stereotypes on the interactions between humans and robots. LÄS MER