"The Windmill Method for Setting up Support for Resolving Sparse Incidents in Communication Networks"
Speakers
Abstract
| Duco Ferro (Almende, Rotterdam) will present: "The Windmill Method for Setting up Support for Resolving Sparse Incidents in Communication Networks" |
| Given unexpected incidents on routes of guards that check security objects, like banks, one of the most challenging problems is still how to support improvisation by security personnel in taking decisions to prevent or resolve such incidents. Another as important associated problem is how a security company can naturally take advantage of its existing and novel knowledge about its organizational and ICT infrastructures, and the introduction of a decision support system to help the leverage of improvisation by humans. To tackle all this, on the one hand we present a dynamic coalition formation framework that allows the (re)configurations of agents that are associated with joint tasks in situational contexts to be evaluated by appropriate value functions. On the other hand, we present a dynamic scale-space paradigm that allows a security company self-organizing mobile surveillance security. This self-organization is grounded by the continuous interaction and co-evolution of the network entities being aware to a certain extent of their own and others resource capabilities and constraints. All this is exemplified for mobile surveillance security networks. |
| Xiaoyu Mao (Almende, Rotterdam) will present: "Heterogeneous MAS Scheduling for Airport Ground Handling" |
| This presentation addresses a technique of using heterogeneous MAS for solving scheduling problems under uncertainty. The problem instance we study is the scheduling of airport ground handling services. In this environment aircraft requiring ground handling services and the corresponding ground service providers are self-interested autonomous parties. Moreover, the environment is well-known for its large number of disturbances. We employ a heterogeneous multiagent scheduling framework with two types of autonomous agents representing aircraft and ground service providers respectively. We use on-line scheduling to cope with uncertainty in the aircraft arrival time at an airport. To balance the interests of the two types of agents in this heterogeneous multiagent system, we propose a market-based mechanism to assign time slots to aircraft turnaround activities. We study the use of this mechanism in a cooperative and a non-cooperative setting. In a dynamic environment such as airport ground handling, the execution of project schedules may be invalidated by various disruptions. As a result project agents may incur high costs if they have to reschedule some of their activities. The insertion of slack time between activities is a well known solution. The delay cost incurred by inserting slack should balance the expected costs of rescheduling some activities. Since in a dynamic multiagent system it is hard to analytically calculate optimal slack time between activities, we propose that agents determine these slack time using a co-evolutionary learning approach. |
| Contact information: |
| Wolf Ketter |
