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5.5.2 Team Protocol

A team of agents in Concurrent METATEM is a group of agents that

have a joint goal to achieve, while sharing some beliefs regarding both

the status of the team’s goal (whether it is achievable or not) and beliefs

regarding each member’s contribution to the achievement of that goal.

Here we presuppose that communication between the members of the

team is essential and, furthermore, we assume that teamwork is achieved

through some specific interactions (message exchange) occurring between

the agents of the team.

In order to show how we can describe teamwork in this way, we introduce

a protocol upon which the coordination of the team members can

be based. In order to formally describe this protocol, we introduce certain

message predicates (outlined in Table 5.1) that every agent involved will

be able to recognize and, additionally, we outline the essential rules that

have to be present in the involved agent descriptions that will cause the

agents to act in a desirable way.

5.5.3 Emergence of a Team

A team emerges when an agent recognizes the need for external input

with respect to one of its internal goals. In our case, agent i is not capable

of renting a car or booking a flight. Thus, although the agent has

a conceptual plan indicating what is needed in order to achieve this internal

commitment (e.g. the agent believes it has to perform book hotel,

book flight, etc), in our case the agent does not have the appropriate capabilities

to carry out this plan alone. In an attempt to achieve its own goals,

agent i might choose to broadcast messages to its environment, waiting

for other agents x and y (not necessarily disjoint) which have those capabilities

of booking a hotel and renting a car, required for the achievement

of its goals. The idea here is that agent i will try to form a team with

agents x and y to achieve the goal book holiday. We can model the behavior

of querying other agents through:

(5.6) Bidone(σ) capable(i, σ) capable?(σ)

where capable?(σ) is broadcast.

In our scenario, suppose there is an agent x in the environment,

which deals with car rental. Every time agent x receives a message

capable?(rent car), it immediately broadcasts back the message Bx

done(rent car), which indicates its belief that rent car can be achieved.

Agent x may therefore be added to the team of agent i, through the next

rule (where σ is instantiated to rent car)

(5.7) Bxdone(σ) Bidone(σ) capable(i, σ) add(x, i)

and this, together with the next rule, will make agent i believe it (the

team) is now capable of achieving this goal.

(5.8) added(x, i) Bxdone(σ) capable(i, σ) .

The same might happen with an agent y capable of booking hotels, as y

might broadcast back a similar message Bydone(book hotel), and then

be added to the team of agent i.

The fact that Bidone(rent car) and Bidone(book hotel) can be satisfied

guarantees that agent i will eventually achieve its initial goal. In

fact, agent i is capable of booking a flight (equation (5.5)) and it has a

goal Bidone(book flight). Therefore, it is able to use equation (5.3) in

order to force done(book flight) to be true. Moreover, agents x and y will

(sooner or later) make rent car and book hotel true (again by using equation

(5.3)). They will broadcast these facts to i which will be able to falsify

the premises of equation (5.4), and so make done(book holiday) true.

Note that, here we have chosen to follow a very simple approach to

team formation, in the sense that the team agent will add the appropriate

team-members into its Contents with respect to which agents reply first

to its requests. Another, probably more interesting approach would have

been to employ some form of negotiation process between x/y and i in this

phase of team-formation.

As a final remark note that our approach does not exclude the possibility

of prespecified and/or fixed teams of agents. In fact, together with

enabling the possibility of team emergence and formation, our approach allows the definition of a specific team, say T, of agents, simply including

the required agents a1, . . . , an into the Contents of T. Moreover, rules

can be specified so that no other agents can be added (removed) to the

Contents of T.

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