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Modeling animal behavior using the theory of games.

This course is about modeling the evolution of animal behavior using the theory of games. A game is a mathematical model of a situation of conflicts of interests between two or more players where the pay-off to each player not only depends on their own strategy but also on the strategies of the others. Because of this, a game is not a mere optimization problem but something more complicated that needs its own kind of solution concepts and solution method. Interactions between animals can often be formulated as a game. We use game theory to study the evolution of aggression and cooperation in animals.

Please register for the course using the WebOodi system.

Lectures will be given in the morning on Mondays and Tuesdays 10-12.
Exercise classes will be given in the afternoon on Tuesdays 14-16.
See TIMETABLE for the details.

The first lecture is on Tuesday 4 September in the morning.
The first exercise class is on Tuesday 11 September in the afternoon.

Ilmoittaudu
13.8.2018 klo 09:00 - 16.10.2018 klo 23:59

Viestit

Stefan Geritz

Julkaistu, 18.10.2018 klo 13:54

SOME IMPORTANT INFO ABOUT THE EXAMS

- Exam dates, times and places:
* Tuesday 23 October, 10-12 in room B121
* Friday 26 October, 14-16 in room B120

- You can choose the exam on the date that suits you best.

- Registration for the exams is not needed.

- Use of notes or books is not allowed.

- List of the exam materials:
* notes_1: all
* notes_2: all (except section 10)
* notes_3: all (except the proof of the Nash existence theorem)
* notes_4: all (except sections 20 and 22)
* notes_5: all (except the proof of the proposition on pages 3-4)
* notes_6: all
* notes_7: all
* notes_8: all
* supplements to the notes: all
* exercise sets: all

Stefan Geritz

Julkaistu, 16.10.2018 klo 15:32

Solutions to all the exercise sets are now available in Materials

However, the solution to exercise 13 of set 5 contains an error that I will correct tomorrow

Stefan Geritz

Julkaistu, 16.10.2018 klo 15:32

Solutions to all the exercise sets are now available in Materials

However, the solution to exercise 13 of set 5 contains an error that I will correct tomorrow

Stefan Geritz

Julkaistu, 16.10.2018 klo 15:31

Exam dates:
Tuesday 23 October 10-12 room B121
Friday 26 October 14-16 room B120
(registration for the exam is not necessary)

Stefan Geritz

Julkaistu, 12.10.2018 klo 9:30

Exercise set 6 is now available under Materials.

Also, I am trying to find out what is a good time for the exam. I propose the following time slots:

Tue 23 Oct 10-12
Tue 23 Oct 14-16
Thu 25 Oct 10-12
Thu 25 Oct 14-16
Fri 26 Oct 10-12
Fri 26 Oct 14-16

Please email your preferences from 1 (most desired) to 6 (least desired) to me. I will choose two time slots that are acceptable to as many as possible. If none of the time slots are possible for you, then also let me know, and we will find an special solution for you.

Stefan Geritz

Julkaistu, 11.10.2018 klo 14:36

The solutions of exercise sets 1, 2 and 3 are now available under materials. Also, I am trying to find out what is a good time for the exam. I propose the following time slots:

Tue 23 Oct 10-12
Tue 23 Oct 14-16
Thu 25 Oct 10-12
Thu 25 Oct 14-16
Fri 26 Oct 10-12
Fri 26 Oct 14-16

Please email your preferences from 1 (most desired) to 6 (least desired) to me. I will choose two time slots that are acceptable to as many as possible. If none of the time slots are possible for you, then also let me know, and we will find an special solution for you.

Stefan Geritz

Julkaistu, 9.10.2018 klo 8:27

Lecture and exercise class on Tuesday 9 October are cancelled.

Stefan Geritz

Julkaistu, 8.10.2018 klo 15:12

I am trying to find out what is a good time for the exam.
I propose the following time slots:

Tue 23 Oct 10-12
Tue 23 Oct 14-16
Thu 25 Oct 10-12
Thu 25 Oct 14-16
Fri 26 Oct 10-12
Fri 26 Oct 14-16

Please email your preferences from 1 (most desired) to 6 (least desired) to me.
I will choose two time slots that are most optimal. If none of the time slots are
possible for you, then let me know, and we will find an ad hoc solution for you.

Stefan Geritz

Julkaistu, 5.10.2018 klo 13:54

For the exercise class of 9 October see set_5(NEW).pdf in MATERIAL

Stefan Geritz

Julkaistu, 27.9.2018 klo 16:42

For the exercise class of 2 October see set_4(NEW).pdf

Sivut

Aikataulu

The first lecture is on Tuesday 4 September in the morning.

The first exercise class is on Tuesday 11 September in the afternoon.

PäivämääräAikaOpetuspaikka
Ma 3.9.2018
10:15 - 12:00
Ti 4.9.2018
10:15 - 12:00
Ti 4.9.2018
14:15 - 16:00
Ma 10.9.2018
10:15 - 12:00
Ti 11.9.2018
10:15 - 12:00
Ti 11.9.2018
14:15 - 16:00
Ma 17.9.2018
10:15 - 12:00
Ti 18.9.2018
10:15 - 12:00
Ti 18.9.2018
14:15 - 16:00
Ma 24.9.2018
10:15 - 12:00
Ti 25.9.2018
10:15 - 12:00
Ti 25.9.2018
14:15 - 16:00
Ma 1.10.2018
10:15 - 12:00
Ti 2.10.2018
10:15 - 12:00
Ti 2.10.2018
14:15 - 16:00
Ma 8.10.2018
10:15 - 12:00
Ti 9.10.2018
10:15 - 12:00
Ti 9.10.2018
14:15 - 16:00
Ma 15.10.2018
10:15 - 12:00
Ti 16.10.2018
10:15 - 12:00
Ti 16.10.2018
14:15 - 16:00

Materiaalit

Tehtävät

Exercise class on Tuesday 11 September

Make the exercises in set_1 (see material). At the moment of me writing this, we have not yet covered all the theory for the exercises, but give it a try nevertheless. All the theory needed is in the notes_1.

Exercise class on Tuesday 18 September

Make the exercises of set_2(NEW).
The set_2(NEW) replaces set_2.
The theory needed for the exercises is in notes_3 and noted_4.

Exercise class on Tuesday 25 September

Make the exercises of set_3(NEW).
The set_3(NEW) replaces set_3.
The theory needed for the exercises is in notes_4 and noted_5.

Exercise class on Tuesday 2 October

Make exercise set_4(NEW).pdf

Exercise class on Tuesday 9 October

Exercise set_5(new).pdf (see under MATERIAL)

Exercise class on Tuesday 16 October

Exercise set 6

Kuvaus

Optional course.

Master's Programme in Life Science Informatics is responsible for the course.

The course belongs to the Mathematics and Applied mathematics module.

The course is available to students from other degree programmes.

Formulation and analysis of mathematical models of animal behavior and animal conflicts using the theory of games.

Recommended time/stage of studies for completion: 1. or 2. year

Term/teaching period when the course will be offered: varying

This course is about modelling animal behavior using the theory of games. Loosely speaking, a game is a mathematical model of a conflict of interest where the costs and benefits to individual players do not only depend on their own behavior but also on the behavior of the others. This makes a game essentially different from a mere optimization problem. After a short introduction to various basic notions and techniques from general game theory, we rapidly focus on games as a means to understand the evolution of animal behavior such as aggression, cooperation, bluff and others.

Lectures and exercise classes

Exam and excercises, Course will be graded with grades 1-5

Exam, other methods will be described later