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"MarineAI is creating a decision-making capacity for the submarine's brain. It will know how much battery life is left and how to weigh that against prevailing weather conditions and sea states, reaching a logical decision on whether to sail on or return home in the face of strong tides."
It would be interesting to see how they they are making this decision and how it would compare to an approach using Rainbird - thoughts?
As I've come to understand more about Intelligent Automation, what it is and how it works, I have also started to see more potential applications in the world around me.
As self-confessed geek (and proud of it!), one area that's got me thinking is that of computer game AIs. Many game AIs don't have a great reputation, to say the least, and despite the increase in multiplayer gaming, there are still plenty of bot AIs around. Some are very well done, while others... aren't.
Many bots have a reputation for 'cheating', i.e. being given benefits within the game such as increased damage or better resource costs, in order to compensate for poorer decision-making compared to humans. Others are just stupid, acting in ways that a human never would such as ignoring the blatantly obvious, forgetting things they just saw, or carrying out actions they can't possibly benefit from. This can apply in all sorts of games, from first-person shooters, to strategy games, to mobile versions of popular card or board games.
Now though I look at these sub-optimal AIs and start thinking about how I could build an intelligent automation tool to make a better decision - and how I actually go about making that decision myself.
So to the gamers out there - what are the worse gaming AI decisions (or cheats) you've come across? And do you think it would be possible to make a better decision-making AI, at least for one of the choices the bot has to make?
