Cooperative control is concerned with engineered systems that can be characterized as a collection of decision-making components with limited processing capabilities, locally sensed information, and limited inter-component communications, all seeking to achieve a collective objective. Examples include mobile sensor networks, network congestion control and routing, transportation systems, autono...

This paper addresses the problem of multiagent task allocation in extreme teams. An extreme team is composed by a large number of agents with overlapping functionality operating in dynamic environments with possible inter-task constraints. We present an approximate algorithm for task allocation in extreme teams, called eXtreme-Ants. The algorithm is inspired in the division of labor in social i...

Cooperative Driving has attracted significant attention in recent years. With the help of vehicleto-vehicle (V2V) communication, perception systems may increase their quality of signals, their availability, and their perception range as well as decrease their latency and probability of failure. Moreover, V2V communication enables advancements from individual to cooperative decision making. With...

the field of cognitive psychology has increasingly provided scientific insights to explore how humans are subject to unconscious sources of evidentiary bias, leading to errors that can affect judgement and decision-making. increasingly these insights are being applied outside the realm of individual decision-making to the collective arena of policy-making as well. a recent editorial in this jou...

Often in cooperative situations, many aspects of the decision-making environment are uncertain. We investigate how cooperation is shaped by the way information about risk is presented (from description or from experience) and by differences in risky environments. Drawing on research from risky choice, we compare choices in stochastic social dilemmas to those in lotteries with equivalent levels ...

The main goal of this paper is to present a new day-ahead energy acquisition model for a distribution company (Disco) in a competitive electricity market environment with Interruptible Load (IL). The work formulates the Disco energy acquisition model as a bi-level optimization problem with some of real issues, and then studies and designs a Genetic Algorithm (GA) of this optimization problem to...