1. General information
Course:
ARTIFICIAL INTELLIGENCE IN VIDEO GAMES
Code:
42378
Type:
ELECTIVE
ECTS credits:
6
Degree:
406 - UNDERGRADUATE DEGREE IN COMPUTER SCIENCE AND ENGINEERING (AB)
Academic year:
2022-23
Center:
604 - SCHOOL OF COMPUTER SCIENCE AND ENGINEERING (AB)
Group(s):
17
Year:
4
Duration:
C2
Main language:
English
Second language:
Spanish
Use of additional languages:
English Friendly:
N
Web site:
Bilingual:
N
Lecturer:
MIGUEL ANGEL FERNANDEZ GRACIANI
- Group(s):
17
Building/Office
Department
Phone number
Email
Office hours
ESCUELA SUPERIOR DE INGENIERIA INFORMATICA / 1.C.11.
SISTEMAS INFORMÁTICOS
2361
miguel.fgraciani@uclm.es
Ver https://www.esiiab.uclm.es/asig.php?codasig=42378&curso=2022-23
2. Pre-Requisites
It is desirable but not essential, that students have some programming skills. The same way any knowledge in the field of artificial intelligence will be suitable for achievement of the subject
3. Justification in the curriculum, relation to other subjects and to the profession
This Subject within the degree programe, relationship whit other subjects and wiht the CS profession. The world of video games has an important place in today's society. So much so that their level of business is greater even than that of other types of entertainment such as film. There is therefore a great need for experts in this domain. In the development process of a video game, the component associated with the behavior of its elements, requires knowledge of artificial intelligence techniques. Much of videogame programmers deal with this type of resource. This course contributes to the formation of this profile of professionals.
4. Degree competences achieved in this course
| Course competences | |
|---|---|
| Code | Description |
| CM04 | Ability to know the fundamentals, paradigms, and techniques of intelligent systems, and analyse, design, and build systems, services, and digital, applications which could use such techniques in any application context. |
| CM06 | Ability to develop and assess interactive systems, and present complex information and its application in the solution of problems with the design of person-computer interaction. |
| SIS05 | Creativity. |
| SIS07 | Knowledge about other cultures and customs. |
5. Objectives or Learning Outcomes
| Course learning outcomes | |
|---|---|
| Description | |
| Identification of the problems that arise during the development of video games and that can be solved using artificial intelligence techniques. | |
| Improvement of communication skills of the student in English language | |
| Useof packages and libraries for third-party graphics in the development of graphic applications. | |
| Additional outcomes | |
| Description | |
| Understand the problems associated with Artificial Intelligence related to videogames and know how to solve it at a conceptual and programming level | |
6. Units / Contents
-
Unit 1: Introduction
-
Unit 2: Video Games classification
-
Unit 3: Basic concepts
-
Unit 4: Learning
-
Unit 5: Basic behavior
-
Unit 6: Search tachniques
-
Unit 7: Rule based systems
-
Unit 8: Case based reasoning
-
Unit 9: Connectionism
-
Unit 10: Evolutionary computation
-
Unit 11: Agents
-
Unit 12: Evolutionary behavior
-
Unit 13: Future possibilities
7. Activities, Units/Modules and Methodology
| Training Activity | Methodology | Related Competences (only degrees before RD 822/2021) | ECTS | Hours | As | Com | Description | |
| Class Attendance (theory) [ON-SITE] | Lectures | CM04 CM06 | 0.6 | 15 | Y | N | The teacher will explain the basic fundamentals of the subject | |
| Workshops or seminars [ON-SITE] | Other Methodologies | CM04 CM06 | 0.6 | 15 | Y | N | The different technologies associated with the subject are analyzed and tested (HTML, XML, Javascript, Ajax, PHP, unity, etc.) | |
| Class Attendance (practical) [ON-SITE] | Project/Problem Based Learning (PBL) | CM04 CM06 | 0.72 | 18 | Y | N | The students work in person in the development of a project for the subject | |
| In-class Debates and forums [ON-SITE] | Debates | CM04 CM06 SIS05 SIS07 | 0.32 | 8 | Y | N | Students discuss with their classmates the solutions adopted with respect to their course work | |
| Project or Topic Presentations [ON-SITE] | Workshops and Seminars | CM04 CM06 SIS05 | 0.08 | 2 | Y | N | Students present the project made throughout the course | |
| Analysis of articles and reviews [OFF-SITE] | Self-study | CM04 CM06 SIS07 | 0.6 | 15 | Y | N | The students analyze the bibliography and documentation associated with the concepts of the subject | |
| Analysis of articles and reviews [OFF-SITE] | Group Work | CM04 CM06 SIS05 SIS07 | 0.6 | 15 | Y | N | Students work together with their classmates in the analysis of the bibliography and documentation associated with the subject | |
| Writing of reports or projects [OFF-SITE] | Group Work | CM04 CM06 SIS05 | 2 | 50 | Y | N | Students perform, along with their group of practices, the course work of the subject | |
| Practicum and practical activities report writing or preparation [OFF-SITE] | Group Work | CM04 CM06 SIS05 | 0.4 | 10 | Y | N | The students, perform as a group, the memory associated with the course work of the subject | |
| Final test [ON-SITE] | Self-study | CM04 CM06 SIS05 SIS07 | 0.08 | 2 | Y | N | The students take the exam corresponding to the concepts exposed throughout the course | |
| Total: | 6 | 150 | ||||||
| Total credits of in-class work: 2.4 | Total class time hours: 60 | |||||||
| Total credits of out of class work: 3.6 | Total hours of out of class work: 90 | |||||||
As: Assessable training activity Com: Training activity of compulsory overcoming (It will be essential to overcome both continuous and non-continuous assessment).
8. Evaluation criteria and Grading System
| Evaluation System | Continuous assessment | Non-continuous evaluation * | Description |
| Practicum and practical activities reports assessment | 25.00% | 0.00% | |
| Final test | 10.00% | 100.00% | |
| Theoretical papers assessment | 10.00% | 0.00% | |
| Progress Tests | 15.00% | 0.00% | |
| Laboratory sessions | 20.00% | 0.00% | |
| Oral presentations assessment | 20.00% | 0.00% | |
| Total: | 100.00% | 100.00% |
According to art. 4 of the UCLM Student Evaluation Regulations, it must be provided to students who cannot regularly attend face-to-face training activities the passing of the subject, having the right (art. 12.2) to be globally graded, in 2 annual calls per subject , an ordinary and an extraordinary one (evaluating 100% of the competences).
Evaluation criteria for the final exam:
-
Continuous assessment:Assessment Criteria in the regular exam session. Student assessment is done mainly by the development of course work. Tambien se tomara en cuenta, la nota obtenida en el examen correspondiente a los conceptos de la asignatura, student participation in debates and exhibitions, and the contribution of concepts to work, both for its workgroup, and the rest of the work than the other groups performed during the course. The evaluable activities are normally carried out in groups.
-
Non-continuous evaluation:Evaluation criteria not defined
Specifications for the resit/retake exam:
Assessment Criteria in the extra session. The work must be equal to the ordinary call, and also demands a presence test.
Specifications for the second resit / retake exam:
Assessment Criteria in the special sessionfor completion of studies. The work must be equal to the ordinary call, and also demands a presence test.
9. Assignments, course calendar and important dates
| Not related to the syllabus/contents | |
|---|---|
| Hours | hours |
| Workshops or seminars [PRESENCIAL][Other Methodologies] | 15 |
| Class Attendance (practical) [PRESENCIAL][Project/Problem Based Learning (PBL)] | 20 |
| Project or Topic Presentations [PRESENCIAL][Workshops and Seminars] | 2 |
| Analysis of articles and reviews [AUTÓNOMA][Self-study] | 7 |
| Analysis of articles and reviews [AUTÓNOMA][Group Work] | 7 |
| Writing of reports or projects [AUTÓNOMA][Group Work] | 50 |
| Practicum and practical activities report writing or preparation [AUTÓNOMA][Group Work] | 8 |
| Final test [PRESENCIAL][Self-study] | 2 |
| Unit 1 (de 13): Introduction | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 1 |
| In-class Debates and forums [PRESENCIAL][Debates] | .5 |
| Analysis of articles and reviews [AUTÓNOMA][Self-study] | .5 |
| Analysis of articles and reviews [AUTÓNOMA][Group Work] | .5 |
| Unit 2 (de 13): Video Games classification | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 1 |
| In-class Debates and forums [PRESENCIAL][Debates] | .5 |
| Analysis of articles and reviews [AUTÓNOMA][Self-study] | .5 |
| Analysis of articles and reviews [AUTÓNOMA][Group Work] | .5 |
| Unit 3 (de 13): Basic concepts | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 2 |
| In-class Debates and forums [PRESENCIAL][Debates] | 1.5 |
| Analysis of articles and reviews [AUTÓNOMA][Self-study] | 1.5 |
| Analysis of articles and reviews [AUTÓNOMA][Group Work] | 1.5 |
| Unit 4 (de 13): Learning | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 1 |
| In-class Debates and forums [PRESENCIAL][Debates] | .5 |
| Analysis of articles and reviews [AUTÓNOMA][Self-study] | .5 |
| Analysis of articles and reviews [AUTÓNOMA][Group Work] | .5 |
| Unit 5 (de 13): Basic behavior | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 1 |
| In-class Debates and forums [PRESENCIAL][Debates] | .5 |
| Analysis of articles and reviews [AUTÓNOMA][Self-study] | .5 |
| Analysis of articles and reviews [AUTÓNOMA][Group Work] | .5 |
| Unit 6 (de 13): Search tachniques | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 1 |
| In-class Debates and forums [PRESENCIAL][Debates] | .5 |
| Analysis of articles and reviews [AUTÓNOMA][Self-study] | .5 |
| Analysis of articles and reviews [AUTÓNOMA][Group Work] | .5 |
| Unit 7 (de 13): Rule based systems | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 1 |
| In-class Debates and forums [PRESENCIAL][Debates] | .5 |
| Analysis of articles and reviews [AUTÓNOMA][Self-study] | .5 |
| Analysis of articles and reviews [AUTÓNOMA][Group Work] | .5 |
| Unit 8 (de 13): Case based reasoning | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 1 |
| In-class Debates and forums [PRESENCIAL][Debates] | .5 |
| Analysis of articles and reviews [AUTÓNOMA][Self-study] | .5 |
| Analysis of articles and reviews [AUTÓNOMA][Group Work] | .5 |
| Unit 9 (de 13): Connectionism | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 1 |
| In-class Debates and forums [PRESENCIAL][Debates] | .5 |
| Analysis of articles and reviews [AUTÓNOMA][Self-study] | .5 |
| Analysis of articles and reviews [AUTÓNOMA][Group Work] | .5 |
| Unit 10 (de 13): Evolutionary computation | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 1 |
| In-class Debates and forums [PRESENCIAL][Debates] | .5 |
| Analysis of articles and reviews [AUTÓNOMA][Self-study] | .5 |
| Analysis of articles and reviews [AUTÓNOMA][Group Work] | .5 |
| Unit 11 (de 13): Agents | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 1 |
| In-class Debates and forums [PRESENCIAL][Debates] | .5 |
| Analysis of articles and reviews [AUTÓNOMA][Self-study] | .5 |
| Analysis of articles and reviews [AUTÓNOMA][Group Work] | .5 |
| Unit 12 (de 13): Evolutionary behavior | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 1 |
| In-class Debates and forums [PRESENCIAL][Debates] | .5 |
| Analysis of articles and reviews [AUTÓNOMA][Self-study] | .5 |
| Analysis of articles and reviews [AUTÓNOMA][Group Work] | .5 |
| Unit 13 (de 13): Future possibilities | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 2 |
| In-class Debates and forums [PRESENCIAL][Debates] | 1 |
| Analysis of articles and reviews [AUTÓNOMA][Self-study] | 1 |
| Analysis of articles and reviews [AUTÓNOMA][Group Work] | 1 |
| Global activity | |
|---|---|
| Activities | hours |
| General comments about the planning: | This course schedule is APROXIMATE. It could vary throughout the academis course due to teaching needs, bank holidays, etc.. A weekly schedule will be properly detailed and updated on the online platform (Campus Virtual). Note that all the lectures, practice sessions, exams and activities performed in the bilingual groups will be entirely taught in English. Classroom teaching is organized in three weekly classes of 1.5 hours each. |
10. Bibliography and Sources
| Author(s) | Title | Book/Journal | Citv | Publishing house | ISBN | Year | Description | Link | Catálogo biblioteca |
|---|---|---|---|---|---|---|---|---|---|
| The subject requires multiple consultations on the web | http://www.google.es/ | ||||||||
| Game AI Pro 3. Collected Wisdom of Game AI Professionals | Steve Rabin | 13 978 1 4987 4258 0 | 2017 | ||||||
| Brian Beuken | The Fundamentals of C/C++ Game programming | CRC Press | 13 978 1 4987 8874 8 | 2018 | |||||
| Ian Millington | Artificial Intelligence for games | San Francisco | Elsevier | 13:978-0-12-497782-2 | 2006 | ||||
| Jose Mira Mira | Aspectos básicos de la Inteligencia Artificial | Sanz y Torres | 1995 | Libro de Inteligencia Artificial | |||||
| Stuart Russell & Peter Norvig | Inteligencia Artificial. Un enfoque moderno | Prentice Hall | 1996 | Libro de Inteligencia Artificial |