This paper proposes two new methods for optimizing objectives and constraints. The GP approach is very general and hardware resources in finite wordlength implementation of it allo...
er than abstracting human behavior as work processes or tasks--functional idealizations of the work to be accomplished--we model people's activities comprehensively and chrono...
Developing multi-agent simulations seems to be rather straight forward, as active entities in the original correspond to active agents in the model. Thus plausible behaviors can be...
We present a new polynomial-space algorithm, called Adopt, for distributed constraint optimization (DCOP). DCOP is able to model a large class of collaboration problems in multi-a...
Pragnesh Jay Modi, Wei-Min Shen, Milind Tambe, Mak...
Analog and hybrid computation methods are areas of continued interest, particularly in specific applications where traditional digital computation techniques cannot achieve the de...