Lectures

Question 1

An agent

Answer 1

anything that can be viewed as perceiving its
environment through sensors and acting upon that
environment through effectors. architecture + program.

Question 2

Reactive

Answer 2

ability to receive information and respond

Question 3

Pro-active

Answer 3

ability to take the initiative

Question 4

Social

Answer 4

ability to communicate and cooperate

Question 5

First-order

Answer 5

bel(p) : the agent believes that p
goal(p) : the agent has a goal (or wants) that p

Question 6

Autonomous

Answer 6

agents control their own processes

Question 7

Second-order

Answer 7

bel(A; bel(B; p)) : A believes that B believes that p
bel(A; goal(B; p)) : A believes that B wants that p
goal(A; bel(B; p)) : A wants that B believes that p
goal(A; goal(B; p)) : A wants that B wants that p

Question 7

A cognitive agent

Answer 7

anything that can be (usefully)
viewed as a system that has:
* beliefs, desires, goals, intentions, plans,
expectations, hopes, fears, joy

Question 8

Event processing

Answer 8

process events like percepts and
messages

Question 9

Knowledge representation

Answer 9

process events like percepts
and messages. It allows maintaining a model of the
environment and other agents. (E.g.: use Prolog)

Question 10

Decision-Making

Answer 10

agent is able to select an action based
on its beliefs, knowledge, and/or goals

Question 11

cognitive state

Answer 11

The internal state of a cognitive
agent

Question 12

Fully/partially observable

Answer 12

If the environment is not
completely observable, the agent will need internal states

Question 13

Deterministic/stochastic

Answer 13

Deterministic if completely
determined by agent’s action. If the environment is only
partially observable, then it may appear stochastic (while it
is deterministic

Question 14

Static/dynamic

Answer 14

The environment can change while an
agent is deliberating

Question 15

Discrete/continuous

Answer 15

If there is a limited number of percepts
and actions, the environment is discrete

Question 16

Single/multi agents

Answer 16

Is there just one agent, or are there
several interacting with each other

Question 17

Key language elements

Answer 17

• events received from environment (& agents)
• beliefs and goals to represent environment
• actions to (i) update beliefs, adopt goals, (ii)
  send messages, (iii) act in environment
• plans to structure action
• rules to select actions/plans/modules
• modules to structure rules & action selection
• support for multi-agent systems