An Intelligent Agent System is a system composed of individual 'agents' each of which has a guiding parameter. The interaction of these agents results in a larger objective, like in an ant colony. No single ant comprehends it's purpose within the colony, they follow simple instincts that work together to produce a larger objective such as the building of a colony. Modern artificial neural networks are intelligent agent systems, each neuron is simple, it performs a single base operation while the connections between them are the loci for information storage. The interaction between neurons mediated through the synapses produces the flow of information that is greater than any individual neuron.
In a way, much of nature follows the intelligent agent model, and after thinking about it, DNA characterizes the intelligent agent model in a highly complex way. If we look at each agent being a given sequence, then the production of the whole organism is the interaction of these coding sequences.. Intelligent agents are inherently drivers of evolutionary processes because the very nature of their interaction will still produce a functional whole if any single agent is modified. Competing groups of intelligent agents incorporating a descent with modification parameter will then give rise to survival of the fittest as modification to individual agents changes the way in which agents function.
Further, this is not a storage of information as we humans comprehend- there is no central repository of data, it is rather the complex interaction of amorphous individual goals that give rise to the greater whole. This non-centralized nature, plus the high-level fault tolerance and acceptance of modification provide an ideal base for an increase in complexity of the system, and so we have an evolution from simple single-celled organisms all the way up to humans- in creationist lingo a pathway for an increase in information complexity in the organism without 'breaking' the system.
What say you?
In a way, much of nature follows the intelligent agent model, and after thinking about it, DNA characterizes the intelligent agent model in a highly complex way. If we look at each agent being a given sequence, then the production of the whole organism is the interaction of these coding sequences.. Intelligent agents are inherently drivers of evolutionary processes because the very nature of their interaction will still produce a functional whole if any single agent is modified. Competing groups of intelligent agents incorporating a descent with modification parameter will then give rise to survival of the fittest as modification to individual agents changes the way in which agents function.
Further, this is not a storage of information as we humans comprehend- there is no central repository of data, it is rather the complex interaction of amorphous individual goals that give rise to the greater whole. This non-centralized nature, plus the high-level fault tolerance and acceptance of modification provide an ideal base for an increase in complexity of the system, and so we have an evolution from simple single-celled organisms all the way up to humans- in creationist lingo a pathway for an increase in information complexity in the organism without 'breaking' the system.
What say you?
you like this? with all these abilities... because as His beloved child, your eternally-loving Heavenly Father delights when you Praise
your life...