Lesson details


 


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DECISION GAMES, SOCIAL DILEMMAS AND NEGOTIATION

2023-2024

EnIESEG School of Management ( IÉSEG )

Class code :

2324-IÉSEG-M1S1-NEG-MM5EI07UE

NEGOTIATION


Level Year Period Language of instruction 
Master1S1EnEnglish
Academic responsibilityF.LEMPP
Lecturer(s)F.LEMPP


Prerequisites

Students should be familiar with basic concepts and approaches of negotiation (e.g. positional bargaining, interest-based negotiation)
Basic numeracy skills are required
Familiarity with role-play exercises is an advantage

Learning outcomes

At the end of the course, the student should be able to:
(1) Examine the actual decision-making processes
(2) Use basic techniques of decision theory to make smarter decisions
(3) Use the theory of simultaneous and sequential games to analyse the strategic inter-dependencies of parties in a negotiation
(4) Apply concepts of decision and game theory to real life bargaining and negotiation situations
(5) Understand the scope and limits of rational approaches to decision-making

Course description

Negotiators have to make many decisions before, during, and after a negotiation process. Often those decisions need to be made under time pressure and with limited access to information. The situation is further complicated in that the outcome of a negotiation depends not only on one party’s decisions, but on those of all parties involved. This course introduces students to the basics of decision and game theory with a view to make them smarter decision-makers and develop their awareness for the strategic inter-dependencies between negotiators. It concludes with a critical discussion of the limits of rational decision-making and the cognitive biases that often govern negotiators’ decision-making in practice. The course incorporates decision-making exercises, role-playing games, and in-class discussions to facilitate students’ learning.


Class type

Class structure

Type of courseNumbers of hoursComments
Face to face
Interactive class4,00  
lecture12,00  
Independent work
Reference manual 's readings12,00  
Independent study
Estimated personal workload22,00  
Total student workload50,00  

Teaching methods

  • Case study
  • Interactive class
  • Presentation


Assessment

1 take-home assignment including 3 problem questions and 1 open-ended question on decision theory and 3 problem questions and 1 open-ended question on game theory

Type of controlDurationNumberPercentage break-down
Others
Case study4,00140,00
Written Report4,00140,00
Continuous assessment
Participation16,00020,00
TOTAL     100,00

Recommended reading

  • Lecture notes (to be provided at the beginning of the course) -

  • Game theory at work (2003) by James D. Miller; McGraw-Hill: New York -

  • Games for business and economics, 2nd edition (2003) by Roy Gardner; Wiley: Hoboken, NJ -




 
* This information is non-binding and can be subject to change
 
 
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