A problem of planning for cooperative teams under uncertainty is a crucial one in multiagent systems. Decentralized partially observable Markov decision processes (DECPOMDPs) prov...
Color is a powerful attribute that is used to characterize objects for tracking and other surveillance tasks. Since color is dependent on ambient illumination and the imaging equi...
Planning under uncertainty is an important and challenging problem in multiagent systems. Multiagent Partially Observable Markov Decision Processes (MPOMDPs) provide a powerful fr...
While it is widely agreed that architectural simplicity is a key factor to the success of large software systems, it is not obvious how to measure architectural complexity. Our ap...
""The goal of this book is to teach you to think like a computer scientist. I like the way computer scientists think because they combine some of the best features of Mat...