Agent-Based Systems are "behavior-based" computer programs that try to simulate complex phenomena through virtual "agents." The behavior of these agents is determined by programmable rules that reflect the constraints and conditions of a real-world system. Individual agents can modify their rules to adapt to changing circumstances, and this can often alter the global behavior of the system. Sometimes small local changes can have big system impacts, just as a tiny disturbance in the atmosphere over Africa can lead to a hurricane days later in the Gulf of Mexico.
Consequently, Agent-Based Systems can provide valuable insight into the dynamics of the real-world systems they emulate. Because they can generate strategies that the user might have never considered, Agent-Based Systems are also powerful strategic tools for "what-if" scenario analysis.
What our
customers say
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Mr Benno Giuliani |
“We selected SolveIT Software for Integrated Planning of the NCA demand chain as they are experienced in optimising complex and dynamic logistics processes. The NCA coal chain is a key asset in the Xstrata Coal Australia portfolio and is set for significant expansion in coming years. Ensuring we exceed customer expectations through optimisation of value, quality, quantity and cost of XCQ’s coal products is our primary goal, and logistics optimisation initiatives across our systems landscape is a key driver for improved commercial and operational outcomes.”
Transport and Logistics Manager
Xstrata Coal
Xstrata Coal