Abstract: This paper studies the use of agent communication in ubiquitous computing. This application domain allows us to investigate the efficient handling of large quantities of information in agent-based systems. We will present an approach to dynamically set up a communication network between agents which aims to minimize the communication load. The approach is based on a formal ontological notion of informativeness, on quantitative measures such as information gain and on the proper use of interaction mechanisms such as Publish/Subscribe. We also present experimental results which have been obtained using our prototyping tool called Ubismart.
Abstract: The project ‘SlimVerbinden’ addresses the challenge of retaining
autonomy while sharing information among multiple parties. Based on a web of
trust, information providers can grant and deny access to information, while
information consumers can delegate access to specific members within their
‘organization’ (which can be defined within and/or across existing organizations).
The policy- and PKI-based realization enables an agent-based secure shared distributed
dataspace where no single party knows ‘everything’ and the barriers to
information sharing are lowered. The use-case involves public–private cooperation
during the mitigation of an incident and drives the development of an operational
Abstract: Correct traffic light phase sequences are critical to efficient traffic flow through road
intersections. If the timing of just one set of lights at a junction is one second from
optimal, the results can lead to major traffic congestion and delays. Currently, traffic
light phases are set using a mixture of experience and empirical techniques to achieve
an optimal phase sequence and, in the worst cases, this process can take many
months. Any technique to speed up the identification of optimal phasings would have
clear benefits to government agencies everywhere.
Thales UK’s Research and Technology Group have investigated how Genetic
Algorithms can solve “real-world” problems and have obtained some promising results
with optimising traffic light phasings. Working with their colleagues at Thales Research
and Technology Netherlands they have developed a demonstration solution based on
the concept of “software agent communities” – that is, groups of software programs
working together for their greater good. This extends the earlier Genetic Algorithms
work by using agent-based technologies to enable the rapid optimisation of larger
traffic light networks, potentially covering an entire town.
Abstract: In this paper we introduce initial design of an agent-based system to support human collaboration processes occurring in situations of chemical incidents response. The design process includes: (i) description of initial agent reasoning mechanisms using goals and plans; (ii) abstraction of external agent functionalities using tasks and services; (iii) organization of agents into communities. The design is illustrated by considering a realistic utilization scenario.