Goal oriented Action Planning with multiple Agents I'm a little bit stuck:

I implemented an AI with GOAP (Goal oriented Action Planning, http://alumni.media.mit.edu/~jorkin/gdc2006_orkin_jeff_fear.pdf) for a simulation game. That works fine.

Now I want that the agents can cooperate (e.g. doing actions together). What is in this case the best AI-Design that the GoapActions keep loose couplet?

Should they plan together? (what is in this case the "worldstate"?)Or Should they share their plans? 

Example
Agent1:
Worldstate Agent 1: isLonely= true
Goal Agent1: isLonely = false

Plan Agent1: AskAgent2ToTalk -> TalkToAgent2

Agent2
Worldstate Agent 2: hasWood = false
Goal hasWood = true

Plan Agent2: GetAxe -> ChopWood -> BringWoodToSupply

How I get this constellation?

Agent1 Plan: TalkToAgent2
Agent2 Plan: TalkToAgent1 -> GetAxe -> ChopWood -> BringWoodToSupply

Or if they are talking and one of the agents is interrupted (e.g. by an attacking enemy) the other agent must know that his TalktoAgent2 Action has ended.
This evening I got inspired by this paper: http://www.dphrygian.com/bin/David-Pittman-GOAP-Masters-Thesis.doc 

(GOAP paired with the Command and Control Pattern)

What do you think about this solution?

Each goal has a relevance (that depends on the agent needs) 

When agent1 working on the "AskAgent2ToTalk" Action, it only sends a goal recommendation to agent2. Explicit means this: The agent only sends a list of modifiers for each goal relevance (in this case it could be a bonus for the "SocialInteraction" Goal. The value depends on the relationship between the agents) and the recommend goal.

if agent2's desired goal is the recommend goal, the agent replans.