Microeconomical simulation: coordination/planning between self-interested trading agents
In a typical perfect-information strategy game like Chess, an agent can calculate its best move by searching the state tree for the best possible move, while assuming that the opponent will also make the best possible move (i.e. Mini-max).
Microeconomical simulation: coordination/planning between self-interested trading agents
In a typical perfect-information strategy game like Chess, an agent can calculate its best move by searching the state tree for the best possible move, while assuming that the opponent will also make the best possible move (i.e. Mini-max).
Microeconomical simulation: coordination/planning between self-interested trading agents
In a typical perfect-information strategy game like Chess, an agent can calculate its best move by searching the state tree for the best possible move, while assuming that the opponent will also make the best possible move (i.e. Mini-max).
Determinining “value” in multi-agent microeconomical simulation
I am trying to determine an objective way for a self-interested agent to calculate the optimal buying/selling price for goods in a multi-agent simulation not dissimilar to Sugarscape (http://en.wikipedia.org/wiki/Sugarscape). The simulation is as follows:
Determinining “value” in multi-agent microeconomical simulation
I am trying to determine an objective way for a self-interested agent to calculate the optimal buying/selling price for goods in a multi-agent simulation not dissimilar to Sugarscape (http://en.wikipedia.org/wiki/Sugarscape). The simulation is as follows:
Determinining “value” in multi-agent microeconomical simulation
I am trying to determine an objective way for a self-interested agent to calculate the optimal buying/selling price for goods in a multi-agent simulation not dissimilar to Sugarscape (http://en.wikipedia.org/wiki/Sugarscape). The simulation is as follows:
Determinining “value” in multi-agent microeconomical simulation
I am trying to determine an objective way for a self-interested agent to calculate the optimal buying/selling price for goods in a multi-agent simulation not dissimilar to Sugarscape (http://en.wikipedia.org/wiki/Sugarscape). The simulation is as follows:
Determinining “value” in multi-agent microeconomical simulation
I am trying to determine an objective way for a self-interested agent to calculate the optimal buying/selling price for goods in a multi-agent simulation not dissimilar to Sugarscape (http://en.wikipedia.org/wiki/Sugarscape). The simulation is as follows:
How should I handle measurement logging in my Discrete Event Simulation engine?
I’m attempting to build a Discrete Event Simulation library by following this tutorial and fleshing it out.
How to define the motion path of one object on a surface of the other one?
I have an uncommon problem. There are 2 3D objects, which are represented by arrays of vertices and triangles (.stl files). Each of them contains a big enough amount of vertices: 1-10 mln ones. The surfaces of these models are rough, and can contain different spikes or hollows.