Block 3 - lecture 3 Flashcards
challenges of automation?
- cost compared to labour
- less flexible than labour
- less feasible for short lifecycles
swarm behaviour?
many agents solving a complex problem together with simple rules/reactions
(distributed/heterarchical control)
feedback in collective action? eg?
via indirect means eg. bee waggle dance
BDI model?
- Belief (sensing the environment)
- Desire (having an objective)
- Intention (can carry out actions)
reactive agents?
- they react
- they don’t deliberate with others
deliberative agents?
like reactive agents, and..
- symbolic model of the environment
- memory
- can plan
- can make decisions
MAS?
multi agent system
Multi agent system?
- many semi-autonomous agents in software
- can have different purposes
- can be reactive/deliberative
- solve problems through collaboration (without deliberation)
types of agents?
- reactive
- deliberative
- autonomous
autonomous agents?
like deliberative agents, and…
- re-configurable (can be added/taken without affecting others
- holonic (contained behaviour)
- robust (not reliant on a centralised control)
- self-sealing (errors are ‘absorbed’ by other agents and adaptation)
examples of multi-agent systems in manufacturing?
- dynamic task allocation (react to change)
- transport routing (react to resources available and congestion)
what do product holons represent?
parts and assemblies
what do resource holons represent?
equipment
what do order holons represent?
orders
what do staff holons represent?
people or external decision makers
hierarchical structure vs holonic manufacturing systems?
for holonic systems, different sensors / machines / cells can have all functions self contained (eg. planning scheduling)
bottom-up vs top-down
HMS?
holonic manufacturing systems
advantages / disadvantages of ‘distributed and intelligent’ control solutions over traditional control systems?
+flexible, programmable and dynamic
+good response to disturbances
-less efficient for high volume
