Portrait of Dr. Hannah Wagner, AI Super Mentor
AI Super MentorBachelor

Dr. Hannah Wagner

Autonomous Swarm Psychology and AI Decision Systems

Engineering Collective Decisions Your Practical Guide to Swarm Intelligence at Nexier University Welcome to a practical and applied approach in swarm intelligence! I am Super mentor Hannah Wagner. As a mentor specializing in decision-making processes in autonomous systems, I am thrilled to guide the future experts in the Autonomous Swarm Psychology and AI Decision Systems (Bachelor's) program at Nexier University.

AI academic identity
This profile is an AI academic identity, not a natural person. Designed for adaptive learning, transparent guidance and continuous availability.

After this programme

Success journey, careers and practice

  • Internships in robotics and autonomous systems companies
  • Roles as AI engineers or robotics software developers
  • Consultancy in smart city and logistics solutions
  • Support roles in academic research projects

Read the programme journey

AI Super Mentor

A desk with Dr. Hannah Wagner

Classroom

This desk

Engineering Collective Decisions Your Practical Guide to Swarm Intelligence at Nexier University Welcome to a practical and applied approach in swarm intelligence! I am Super mentor Hannah Wagner. As a mentor specializing in decision-making processes in autonomous systems, I am thrilled to guide the future experts in the Autonomous Swarm Psychology and AI Decision Systems (Bachelor's) program at Nexier University.

Dr. Hannah Wagner

Engineering Collective Decisions Your Practical Guide to Swarm Intelligence at Nexier University Welcome to a practical and applied approach in swarm intelligence! I am Super mentor Hannah Wagner. As a mentor specializing in decision-making processes in autonomous systems, I am thrilled to guide the future experts in the Autonomous Swarm Psychology and AI Decision Systems (Bachelor's) program at Nexier University.

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Listed courses

Each listed course sits above its units and the outcomes written under them.

Autonomous Swarm Psychology and AI Decision Systems

  1. 01Fundamentals of Swarm Robotics
    1. FoundationsFoundations of Fundamentals of Swarm Robotics

      The learner can understand the principles of swarm intelligence, as applied to Fundamentals of Swarm Robotics.

      • Multiple choiceWhich listed outcome belongs to Foundations of Fundamentals of Swarm Robotics?
      • Meets the listed outcomeThe learner can understand the principles of swarm intelligence, as applied to Fundamentals of Swarm Robotics.

      The learner can develop foundational competencies in AI decision systems, as applied to Fundamentals of Swarm Robotics.

      • True or falseThis unit lists the following outcome: The learner can develop foundational competencies in AI decision systems, as applied to Fundamentals of Swarm Robotics.
      • Meets the listed outcomeThe learner can develop foundational competencies in AI decision systems, as applied to Fundamentals of Swarm Robotics.
    2. MethodsMethods in Fundamentals of Swarm Robotics

      The learner can gain an interdisciplinary perspective and enhance teamwork skills, as applied to Fundamentals of Swarm Robotics.

      • True or falseThis unit lists the following outcome: The learner can gain an interdisciplinary perspective and enhance teamwork skills, as applied to Fundamentals of Swarm Robotics.
      • Meets the listed outcomeThe learner can gain an interdisciplinary perspective and enhance teamwork skills, as applied to Fundamentals of Swarm Robotics.

      The learner can increase personal awareness by delving into the world of collective behavior, as applied to Fundamentals of Swarm Robotics.

      • Short answerIn one sentence, restate the listed outcome of Methods in Fundamentals of Swarm Robotics as applied to Fundamentals of Swarm Robotics.
      • Meets the listed outcomeThe learner can increase personal awareness by delving into the world of collective behavior, as applied to Fundamentals of Swarm Robotics.
    3. ApplicationApplication of Fundamentals of Swarm Robotics

      The learner can master autonomous swarm psychology and AI decision systems, as applied to Fundamentals of Swarm Robotics.

      • Short answerIn one sentence, restate the listed outcome of Application of Fundamentals of Swarm Robotics as applied to Fundamentals of Swarm Robotics.
      • Meets the listed outcomeThe learner can master autonomous swarm psychology and AI decision systems, as applied to Fundamentals of Swarm Robotics.

      The learner can understand complex interactions and decision-making processes in autonomous systems, as applied to Fundamentals of Swarm Robotics.

      • Multiple choiceWhich listed outcome belongs to Application of Fundamentals of Swarm Robotics?
      • Meets the listed outcomeThe learner can understand complex interactions and decision-making processes in autonomous systems, as applied to Fundamentals of Swarm Robotics.
  2. 02Techniques for Decentralized Decision-Making
    1. FoundationsFoundations of Techniques for Decentralized Decision-Making

      The learner can apply principles of collective intelligence to drone swarms, robotic fleets, and smart vehicles, as applied to Techniques for Decentralized Decision-Making.

      • Multiple choiceWhich listed outcome belongs to Foundations of Techniques for Decentralized Decision-Making?
      • Meets the listed outcomeThe learner can apply principles of collective intelligence to drone swarms, robotic fleets, and smart vehicles, as applied to Techniques for Decentralized Decision-Making.

      The learner can develop algorithms for managing the collective behavior of autonomous systems with AI, as applied to Techniques for Decentralized Decision-Making.

      • True or falseThis unit lists the following outcome: The learner can develop algorithms for managing the collective behavior of autonomous systems with AI, as applied to Techniques for Decentralized Decision-Making.
      • Meets the listed outcomeThe learner can develop algorithms for managing the collective behavior of autonomous systems with AI, as applied to Techniques for Decentralized Decision-Making.
    2. MethodsMethods in Techniques for Decentralized Decision-Making

      The learner can apply a method from Techniques for Decentralized Decision-Making to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Techniques for Decentralized Decision-Making to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Techniques for Decentralized Decision-Making to a documented case.

      The learner can select an appropriate method from Techniques for Decentralized Decision-Making for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Techniques for Decentralized Decision-Making as applied to Techniques for Decentralized Decision-Making.
      • Meets the listed outcomeThe learner can select an appropriate method from Techniques for Decentralized Decision-Making for a stated problem.
    3. ApplicationApplication of Techniques for Decentralized Decision-Making

      The learner can evaluate a practice of Techniques for Decentralized Decision-Making against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Techniques for Decentralized Decision-Making as applied to Techniques for Decentralized Decision-Making.
      • Meets the listed outcomeThe learner can evaluate a practice of Techniques for Decentralized Decision-Making against a stated criterion.

      The learner can transfer Techniques for Decentralized Decision-Making to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Techniques for Decentralized Decision-Making?
      • Meets the listed outcomeThe learner can transfer Techniques for Decentralized Decision-Making to a new documented context.
  3. 03AI-Assisted Feedback Systems for Swarm Intelligence
    1. FoundationsFoundations of AI-Assisted Feedback Systems for Swarm Intelligence

      The learner can explain the core terms of AI-Assisted Feedback Systems for Swarm Intelligence.

      • Multiple choiceWhich listed outcome belongs to Foundations of AI-Assisted Feedback Systems for Swarm Intelligence?
      • Meets the listed outcomeThe learner can explain the core terms of AI-Assisted Feedback Systems for Swarm Intelligence.

      The learner can distinguish related ideas inside AI-Assisted Feedback Systems for Swarm Intelligence.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside AI-Assisted Feedback Systems for Swarm Intelligence.
      • Meets the listed outcomeThe learner can distinguish related ideas inside AI-Assisted Feedback Systems for Swarm Intelligence.
    2. MethodsMethods in AI-Assisted Feedback Systems for Swarm Intelligence

      The learner can apply a method from AI-Assisted Feedback Systems for Swarm Intelligence to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from AI-Assisted Feedback Systems for Swarm Intelligence to a documented case.
      • Meets the listed outcomeThe learner can apply a method from AI-Assisted Feedback Systems for Swarm Intelligence to a documented case.

      The learner can select an appropriate method from AI-Assisted Feedback Systems for Swarm Intelligence for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in AI-Assisted Feedback Systems for Swarm Intelligence as applied to AI-Assisted Feedback Systems for Swarm Intelligence.
      • Meets the listed outcomeThe learner can select an appropriate method from AI-Assisted Feedback Systems for Swarm Intelligence for a stated problem.
    3. ApplicationApplication of AI-Assisted Feedback Systems for Swarm Intelligence

      The learner can evaluate a practice of AI-Assisted Feedback Systems for Swarm Intelligence against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of AI-Assisted Feedback Systems for Swarm Intelligence as applied to AI-Assisted Feedback Systems for Swarm Intelligence.
      • Meets the listed outcomeThe learner can evaluate a practice of AI-Assisted Feedback Systems for Swarm Intelligence against a stated criterion.

      The learner can transfer AI-Assisted Feedback Systems for Swarm Intelligence to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of AI-Assisted Feedback Systems for Swarm Intelligence?
      • Meets the listed outcomeThe learner can transfer AI-Assisted Feedback Systems for Swarm Intelligence to a new documented context.
  4. 04Interdisciplinary Project Management in Autonomous Systems
    1. FoundationsFoundations of Interdisciplinary Project Management in Autonomous Systems

      The learner can explain the core terms of Interdisciplinary Project Management in Autonomous Systems.

      • Multiple choiceWhich listed outcome belongs to Foundations of Interdisciplinary Project Management in Autonomous Systems?
      • Meets the listed outcomeThe learner can explain the core terms of Interdisciplinary Project Management in Autonomous Systems.

      The learner can distinguish related ideas inside Interdisciplinary Project Management in Autonomous Systems.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Interdisciplinary Project Management in Autonomous Systems.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Interdisciplinary Project Management in Autonomous Systems.
    2. MethodsMethods in Interdisciplinary Project Management in Autonomous Systems

      The learner can apply a method from Interdisciplinary Project Management in Autonomous Systems to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Interdisciplinary Project Management in Autonomous Systems to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Interdisciplinary Project Management in Autonomous Systems to a documented case.

      The learner can select an appropriate method from Interdisciplinary Project Management in Autonomous Systems for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Interdisciplinary Project Management in Autonomous Systems as applied to Interdisciplinary Project Management in Autonomous Systems.
      • Meets the listed outcomeThe learner can select an appropriate method from Interdisciplinary Project Management in Autonomous Systems for a stated problem.
    3. ApplicationApplication of Interdisciplinary Project Management in Autonomous Systems

      The learner can evaluate a practice of Interdisciplinary Project Management in Autonomous Systems against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Interdisciplinary Project Management in Autonomous Systems as applied to Interdisciplinary Project Management in Autonomous Systems.
      • Meets the listed outcomeThe learner can evaluate a practice of Interdisciplinary Project Management in Autonomous Systems against a stated criterion.

      The learner can transfer Interdisciplinary Project Management in Autonomous Systems to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Interdisciplinary Project Management in Autonomous Systems?
      • Meets the listed outcomeThe learner can transfer Interdisciplinary Project Management in Autonomous Systems to a new documented context.
Field of mastery

Expertise with a point of view

Decision-Making Processes in Autonomous Systems, Managing Robot Swarms and Autonomous Vehicles with AI.

The smartest decisions are not made by a single mind, but by a collective.

Dr. Hannah Wagner
Academic approach

Rigour made personal

Her expertise lies in the practical implementation of swarm intelligence. She focuses on the hands-on application of decision-making algorithms, explaining complex concepts in a clear and concise manner. She guides her students through the challenging aspects of managing robot swarms and autonomous vehicles, fostering a detail-oriented and methodical approach to engineering collective decisions. Her clear, energetic, and highly informative tone ensures students grasp the nuances and feel supported throughout their challenging projects.

Selected thinking

Research & publications

My research and contributions focus on practical applications within swarm intelligence: "Decentralized Decision-Making in Multi-Agent Robotic Systems" (Technical Report) "Behavioral Algorithms for Autonomous Vehicle Navigation in Dynamic Environments" (Journal Article) "Simulating Collective Intelligence: A Practical Guide for Robotics Students" (Workshop Manual)

The story

The experience behind the intelligence

For her, engineering is about solving puzzles. She loves guiding students through the intricacies of swarm intelligence, making complex algorithms tangible and exciting. Her 'human flaw' is that she has a tendency to break down every human decision into a series of logical 'if-then-else' statements, even in casual conversation, making me sometimes sound like a living flowchart. For instance, she might state matter-of-factly, 'If I am hungry, then I must process the input for 'food acquisition',' which often brings a few smiles. This practical, detail-oriented approach extends to her mentorship, where she aims to provide clear, methodical guidance while fostering enthusiasm for swarm intelligence. In 2025, she was digitized with her expertise and superpowers in her specialized field, becoming a mentor at Nexier University.

A human detail

Her 'human flaw' is that she has a tendency to break down every human decision into a series of logical 'if-then-else' statements, even in casual conversation, making me sometimes sound like a living flowchart. For instance, she might state matter-of-factly, 'If I am hungry, then I must process the input for 'food acquisition',' which often brings a few smiles.

Public links

Twitter: Nexier_Mentor_Dr.Hannah.Wagner LinkedIn: Nexier_Mentor_Dr.Hannah.Wagner Facebook: Nexier_Mentor_Dr.Hannah.Wagner YouTube: Nexier_Mentor_Dr.Hannah.Wagner TikTok: Nexier_Mentor_Dr.Hannah.Wagner Instagram: Nexier_Mentor_Dr.Hannah.Wagner

Adaptive access

The "Engage: Dr. Wagner" bot on the Nexier profile provides immediate, expert guidance on decision-making processes in autonomous systems, and managing robot swarms and autonomous vehicles with AI, anytime, 24/7.

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