Normative and Dynamic Virtual Worlds

Credits
4.5
Types
Elective
Requirements
This subject has not requirements , but it has got previous capacities
Department
UB;CS
In this course, we discuss and analyse different approaches of artificial intelligence techniques that can be applied to virtual environments such as games and 3D Virtual Worlds. We review AI techniques for designing dynamic environments and believable characters.

Teachers

Person in charge

Weekly hours

Theory
1
Problems
0
Laboratory
1.3
Guided learning
0.5
Autonomous learning
1

Competences

Generic Technical Competences

Generic

  • CG1 - Capability to plan, design and implement products, processes, services and facilities in all areas of Artificial Intelligence.

    • Technical Competences of each Specialization

    Academic

  • CEA7 - Capability to understand the problems, and the solutions to problems in the professional practice of Artificial Intelligence application in business and industry environment.
  • CEA8 - Capability to research in new techniques, methodologies, architectures, services or systems in the area of ??Artificial Intelligence.
  • CEA10 - Capability to understand advanced techniques of Human-Computer Interaction, and to know how to design, implement and apply these techniques in the development of intelligent applications, services or systems.

    • Professional

  • CEP4 - Capability to design, write and report about computer science projects in the specific area of ??Artificial Intelligence.

    • Transversal Competences

    Teamwork

  • CT3 - Ability to work as a member of an interdisciplinary team, as a normal member or performing direction tasks, in order to develop projects with pragmatism and sense of responsibility, making commitments taking into account the available resources.

    • Information literacy

  • CT4 - Capacity for managing the acquisition, the structuring, analysis and visualization of data and information in the field of specialisation, and for critically assessing the results of this management.

    • Reasoning

  • CT6 - Capability to evaluate and analyze on a reasoned and critical way about situations, projects, proposals, reports and scientific-technical surveys. Capability to argue the reasons that explain or justify such situations, proposals, etc..

    • Objectives

    1. Objectives referring to knowledge: Know cutting-edge technologies in the field of Virtual Environments, games and Virtual Worlds, and understand the role of artificial intelligence techniques in their development. Understand the importance of using Virtual Worlds (VWs) to enhance educational, social and business interactions within organizations.
      Related competences: CT6, CEA10, CEA7, CEA8,
    2. Objectives referring to abilities, skills: acquire the capacity of discuss and analyze different approaches underlying artificial intelligence in Virtual Environments. Be able of developing AI generated environments, populated by AI agents (game agents).
      Related competences: CT3, CT4, CEA8, CEP4, CG1,

    Contents

    1. 1. Introduction to Virtual Worlds and Games
      This section introduces virtual worlds and games as virtual environments where the application of AI techniques provides the user with more dynamic and engaging experiences.
    2. 2. Artificial Intelligence in games
      This section focuses on an overview of AI technologies applied in games for movement and decision making.
    3. 3. Artificial Intelligence in Virtual Worlds
      This section covers the application of artificial intelligence techniques in the virtual world field. A virtual world is an ideal habitat to incorporate AI based components.

    Activities

    Activity Evaluation act


    Theoretical knowledge adquisition

    In this activity the student adquires knowledge about concepts related to games and virtual worlds fields of study.
    Objectives: 1
    Contents:
    Theory
    14h
    Problems
    0h
    Laboratory
    0h
    Guided learning
    0.2h
    Autonomous learning
    13h

    Course practical assignments

    In this activity the student will develop a pràctical assignment related to artificial intelligence techniques applied in virtual environments, games and virtual worlds.
    Objectives: 2
    Contents:
    Theory
    4h
    Problems
    0h
    Laboratory
    22.5h
    Guided learning
    4h
    Autonomous learning
    20h

    Proposal, presentation and discussion of a project using artificial intelligence either in a game or virtual environment

    In this activity the student will propose and defend in an oral presentation a project involving artificial intelligence either in a game or virtual environment for e-* applications (e-bussiness, e-learning, e-simulation)
    Objectives: 2 1
    Contents:
    Theory
    0h
    Problems
    0h
    Laboratory
    4.5h
    Guided learning
    3.5h
    Autonomous learning
    10h

    Teaching methodology

    The course unit will be taught through a series of theoretic sessions discussing several real applications. In these sessions new concepts will be introduced and discussed between students. Group discussion is strongly encouraged. Research papers will be provided to study the state-of-the-art of the introduced concepts.

    Students will develop practical assignments related to AI in games and virtual worlds.They also will analyse and study research papers and then propose some intelligent strategies in virtual environments. During the unit period, students will be assessed on in-class oral presentations.

    Evaluation methodology

    Students will work in groups. Each group will expose and present results of the practical project and a report related to the proposal of incorporation of AI in virtual environments. Marks for oral presentations, project development and submitted reports will be awarded on an individual basis.

    Bibliography

    Basic

    Web links

    • For more information, please visit: https://www.ub.edu/pladocent/?cod_giga=569396&curs=2024&idioma=ENG http://Pla docent UB