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Multi-Agent Systems Lecture Summary

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Summary for the course Multi-Agent Systems given in the second year of Artificial Intelligence. This document efficiently summarizes the lectures and is a great way to study for your exams. This can also be relevant material for similar degrees given in Vrije University like computer science and in...

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  • 11 januari 2021
  • 34
  • 2020/2021
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,LECTURE I



Al &
Intelligent Agents

intelligent Agent Paradigm .




An viewed
agent is everything that can be as
perceiving as environment

through sensors and
acting upon that environment through effectors


Internally ,
an
agent is :




agent
=
architecture +
program


core business of Al :

designing agent architectures &
programs




Natural agents
Animals :




can perceive using senses
-




can act
by their muscle movements
-




cognitive skills : perception attention , memory language and problem
-



, , ,




solving
Humans :
-



same as animals
versatile
lability to adapt) survive environment
-


: can in
any
advanced skills
cognitive
'




Plants
can also
perceive and act
'




no
cognitive skills needed
-




Artificial Agents


Robotic Agents
their
'


-

can perceive environment using their cameras , microphones , touch

sensors . . . .




-


can act upon their environment by their motor and sound systems ,

displays .
.
. .




currently not versatile can function in specific contexts
-


:




currently do not have advanced cognitive skills limited perception
'

:
,



detention language learning and problem solving skills
,
memory , , ,




But , robots can be
programmed

,Intelligent Agents
-

Reactive : ability to receive information and respond
to take
Pro active ability initiative
'
-
:



Social and
ability communicate cooperate
'

:
to

-


Autonomous :
agents control their own processes


cognitive C- Affective) Agents
An agent is anything that can be
carefully)
viewed as a
system that has beliefs desires
. .
goals ,




intentions , plans , expectations .
nope , fear , joy ,
- . . ( intentional Stance ,
Dennett

1987)



intentional systems
First -
order

bee ( p) the
agent that believes that p
-

:




the
goal Cp) agent that has a
goal p
-

:



second -
order



!
bee ca ; bee ( bjp) a believes that b believes that p
'

:



bee Ca ; goal Cb p)) a believes that b wants that p
-


:




Ca ; bell b ; p)) wants that b believes that
goal
:
a p
-




goal ( ai goal ( b p)) that
:
; a wants p
-




" "

our notion of cognitive agent
Agents with
following basic capacities
the :



and
I . Event processing process events like percepts :
messages
2 .


Knowledge representation :
process events like percepts and messages .




It allows to maintain a model of the environment and other


agents (e g -
.
use propositional FOL ,
or
Prolog)
3. Decision is able action based
making :
agent to select an on its
-




beliefs ,
knowledge ,
and
goals


cognitive state the : internal state of a
cognitive agent
Typically includes :




Event component
-




percepts
-




messages
-




Informational component
'


:



( static)
Knowledge
-




-


beliefs (dynamic)

Motivational component
-




goals
-

, Environments

Agents are situated in an environment

percepts :

Agents to usually not see the real state of the environment

but only receive percepts

Designer : the
designer has to process percepts and
possibly store them

within the agent's memory
Environment properties : such it is important know the
as
very to
-




characteristics of an environment , before designing an
agent

properties of Environments

I partially if environment is
Fully observable the not
completely
-
:




observable the
agent will need internal States

Deterministic 1 stochastic : deterministic if completely determined
by
'




's
agent action .
If the environment is only partially observable ,

then it stochastic
may appear
static dynamic environment unite
agent is
'



the can
:
change an


deliberating
Discreet continuous if there is limited number of percepts and
-

:
a


actions the environment is discrete

single / multi agents is there just one
agent or are there several
-

:




interacting with each other




cognitive Agents & Environments
Environment offers controllable entities that are connected to cognitive
agents
Possible view :
-




cognitive agent is the mind

controllable entitity is the
body
-




An action specification defines
union actions are available to an


agent and when , defined by the

environment



Interacting with Environment &
Agents
Observation
passive perceives results observations without
the
taking
-


:
of any
initiative or control to observe

Active which Observations
actively initiates controls
-



and
the
agent
:




it wants to perform

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