Download presentation

Presentation is loading. Please wait.

1
**Concepts of Game Theory I**

2
**What are Multi-Agent Systems?**

Organisational relationship Interaction Agent Spheres of influence Environment

3
**A Multi-Agent System Contains:**

A number of agents that interact through communication are able to act in an environment have different “spheres of influence” (which may coincide) will be linked by other (organisational) relationships.

4
**Utilities of agents (1) Assume that we have just two agents:**

AG = {i, j } Agents are assumed to be self-interested: They have preferences over environmental states

5
Utilities of agents (2) Assume that there is a set of “outcomes” that agents have preferences over: = {1, 2, } Example: odd-or-even game (alternative to head-or-tail) = {(0,0),…,(0,5),(1,0),…,(1,5),…(5,0),…,(5,5)} These preferences are captured by utility functions: ui : uj : ueven((0,0)) = 1 ueven((0,1)) = 0 ueven((0,2)) = 1 … uodd((0,0)) = 0 uodd((0,1)) = 1 uodd((0,2)) = 0 … Or, more simply, ueven((m,n)) = 1, if m +n is an even number; otherwise 0 uodd((m,n)) = 0, if m +n is an even number; otherwise 1

6
Utilities of agents (2) Utility functions lead to preference orderings over outcomes: i ’ means ui () ui (’) j ’ means uj () uj (’) But, what is utility? In some domains, utility is analogous to money; e.g. we could have a relationship like this: Utility Money

7
Agent Encounters To investigate agent encounters we need a model of the environment in which agents act: agents simultaneously choose an action to perform, the actions they select will result in an outcome ; the actual outcome depends on the combination of actions; Assume each agent has just two possible actions it can perform: C (“cooperate”) D (“defect”).

8
**The State Transformer Function**

Let’s formalise environment behaviour as: : Aci Acj Some possibilities: Environment is sensitive to the actions of both agents: (D,D) 1 (D,C ) 2 (C,D) 3 (C,C ) 4 Neither agent has influence on the environment: (D,D) (D,C ) (C,D) (C,C ) 1 The environment is controlled by agent j . (D,D) 1 (D,C ) 2 (C,D) 1 (C,C ) 2

9
Rational Action (1) Suppose an environment in which both agents can influence the outcome, with these utility functions: ui (1) 1 ui (2) 1 ui (3) 4 ui (4) 4 uj (1) 1 uj (2) 4 uj (3) 1 uj (4) 4 Including choices made by the agents: ui ( (D,D)) 1 ui ( (D,C )) 1 ui ( (C,D)) 4 ui ( (C,C )) 4 uj ( (D,D)) 1 uj ( (D,C )) 4 uj ( (C,D)) 1 uj ( (C,C )) 4

10
** (C,C ) i (C,D) i (D,C ) i (D,D)**

Rational Action (2) Then, the preferences of agent i are: (C,C ) i (C,D) i (D,C ) i (D,D) “C ” is the rational choice for i : Agent i prefers outcomes that arise through C over all outcomes that arise through D.

11
Pay-off Matrices We can charaterise this scenario (& similar scenarios) as a pay-off matrix : i Defect Coop 1 4 j Agent i is the column player Agent j is the row player

12
Dominant Strategies Given any particular strategy s (either C or D) for agent i, there will be a number of possible outcomes s1 dominates s2 if every outcome possible by i playing s1 is preferred over every outcome possible by i playing s2 A rational agent will never play a strategy that is dominated by another strategy However, there isn’t always a unique strategy that dominates all other strategies…

13
**Nash Equilibrium Two strategies s1 and s2 are in Nash Equilibrium if:**

under the assumption that agent i plays s1, agent j can do no better than play s2; and under the assumption that agent j plays s2, agent i can do no better than play s1. Neither agent has any incentive to deviate from a Nash equilibrium!! Unfortunately: Not every interaction has a Nash equilibrium Some interactions have more than one Nash equilibrium… John Forbes Nash, Jr

14
**Competitive and Zero-Sum Interactions**

When preferences of agents are diametrically opposed we have strictly competitive scenarios Zero-sum encounters have utilities which sum to zero: , ui () uj () 0 Zero sum implies strictly competitive Zero sum encounters in real life are very rare However, people tend to act in many scenarios as if they were zero sum.

15
**The Prisoner’s Dilemma**

Two people are collectively charged with a crime Held in separate cells No way of meeting or communicating They are told that: if one confesses and the other does not, the confessor will be freed, and the other will be jailed for three years; if both confess, both will be jailed for two years if neither confess, both will be jailed for one year Albert W. Tucker

16
**The Prisoner’s Dilemma Pay-Off Matrix**

Defect = confess; Cooperate = not confess Numbers in pay-off matrix are not years in jail They capture how good an outcome is for the agents The shorter the jail term, the better The utilities thus are: ui (D,D) 2 ui (D,C ) 5 ui (C,D ) 0 ui (C,C ) 3 uj (D,D) 2 uj (D,C ) 0 uj (C,D ) 5 uj (C,C ) 3 The preferences are: (D,C ) i (C,C ) i (D,D) i (C,D ) (C,D ) j (C,C ) j (D,D) j (D,C )

17
**The Prisoner’s Dilemma Pay-Off Matrix**

Defect Coop 2 5 3 Defect = confess j Coop = not confess Top left: both defect, both get 2 years. Top right: i cooperates and j defects, i gets sucker’s pay-off, while j gets 5. Bottom left is the opposite Bottom right: reward for mutual cooperation.

Similar presentations

OK

1 Game Theory Here we study a method for thinking about oligopoly situations. As we consider some terminology, we will see the simultaneous move, one shot.

1 Game Theory Here we study a method for thinking about oligopoly situations. As we consider some terminology, we will see the simultaneous move, one shot.

© 2018 SlidePlayer.com Inc.

All rights reserved.

Ads by Google

Ppt on power grid Ppt on bluetooth architecture piconets Ppt on what is critical whiteness theory Download ppt on algebraic expressions and identities for class 8 Ppt on files in c programming Ppt on sources of energy for class 8 Ppt on social media on business Ppt on mentoring and coaching Ppt on lhasa Ppt on any one mathematician byron