Large heterogeneous teams will often be in situations where sensor data that is uncertain and conflicting is shared across a peer-to-peer network. Not every team member will have direct access to sensors and team members will be influenced mostly by teammates with whom they communicate directly. In this paper, we investigate the dynamics and emergent behaviors of a large team sharing beliefs to...

A team of learning machines is a multiset of learning machines. A team is said to successfully identify a concept just in case each member of some nonempty subset, of predetermined size, of the team identifies the concept. Team identification of programs for computable functions from their graphs has been investigated by Smith. Pitt showed that this notion is essentially equivalent to function ...

In this paper, we describe the hardware and software design of the two humanoid robots of the team Artisti. The robots are called Galileo and Leonardo. They are fully autonomous humanoid robots, based on the Robovie-M platform of VStone. They has low computational power, low resolution camera and low memory space. The robot vision system uses a low resolution camera working in QVGA mode. We dev...

Open Innovation has become an important new paradigm to integrate external knowledge into innovation processes of organizations. The size of innovator networks resulting from this brings in new challenges in context with management of work units. The composition of teams overarching organizational fields or tasks may serve as a useful example for that. For this purpose IT support can be applied...

Given a task that requires some skills and a social network of individuals with different skills, the Team Formation problem asks to find a team of individuals that together can perform the task, while minimizing communication costs. Since the problem is NP-hard, we identify the source of intractability by analyzing its parameterized complexity with respect to parameters such as the total numbe...

We study a search game in which two multiagent teams compete to find a stationary target at an unknown location. Each team plays a mixed strategy over the set of search sweep-patterns allowed from its respective random starting locations. Assuming that communication enables cooperation we find closed-form expressions for the probability of winning the game as a function of team sizes, and vs. t...

Typical tasks of multi agent systems are effective coordination of single agents and their cooperation. Especially in dynamic environments, like the RoboCup soccer domain, the uncertainty of an opponent’s team behavior complicates coordinated team action. This paper presents a novel approach for intuitive multi agent plan construction and adaptive plan selection to attempt these tasks. We intro...

We present an approach that uses Q-learning on individual robotic agents, for coordinating a missiontasked team of robots in a complex scenario. To reduce the size of the state space, actions are grouped into sets of related behaviors called roles and represented as behavioral assemblages. A role is a Finite State Automata such as Forager, where the behaviors and their sequencing for finding ob...

This paper reports on a series of questionnaire surveys in which I65 managers and professionals each described a single recent project. Project team size varied considerably, with a mean of 7.7 members. Team size usually was selected to get the right mix of expertise, to have someone@om each aflected unit, or both. Most teams met many times, with a mean of 16.5 meetings and a median of IO. The ...