Intelligent Agents for Disaster Management

ALADDIN [1] is a multi-disciplinary project that is developing novel techniques, architectures, and mechanisms for multi-agent systems in uncertain and dynamic environments. The application focus of the project is disaster management. Research within a number of themes is being pursued and this is considering different aspects of the interaction between autonomous agents and the decentralised system architectures that support those interactions. The aim of the research is to contribute to building more robust multi-agent systems for future applications in disaster management and other similar domains

Note on parallel universes

The parallel universes idea is an attempt to integrate several aspects of learning which share some common aspects. This is an interesting idea: if successful, insights could cross-fertilise, leading to advances in each area. The "multi-view" perspective seems to us to have particular potential

More than a passive interest

Abstract The defeat of the Dyer anti-lynching bill in 1922 was a turning point in relations between black Americans and the Republican Party. Little is understood, however, about the role played in the debates by President Warren Harding. This article contends that Harding's conflicted approach to presidential leadership caused him to mishandle the bill. The President's inability to choose between restrained 'whig' leadership and a more active 'stewardship' role resulted in an unstable executive style. The Dyer bill's failure was affected by this dilemma as black hopes were alternately raised and dashed by Harding's indecision. The bitterness of the bill's ultimate defeat was thus heightened, with severe consequences for the Republican party's long term electoral relationship with black voters

What is the Value of CCS in the Future Energy System?

Ambitions to produce electricity at low, zero, or negative carbon emissions are shifting the priorities and appreciation for new types of power generating technologies. Maintaining the balance between security of energy supply, carbon reduction, and electricity system cost during the transition of the electricity system is challenging. Few technology valuation tools consider the presence and interdependency of these three aspects, and nor do they appreciate the difference between firm and intermittent power generation. In this contribution, we present the results of a thought experiment and mathematical model wherein we conduct a systems analyses on the effects of gas-fired power plants equipped with Carbon Capture and Storage (CCS) technology in comparison with onshore wind power plants as main decarbonisation technologies. We find that while wind capacity integration is in its early stages of deployment an economic decarbonisation strategy, it ultimately results in an infrastructurally inefficient system with a required ratio of installed capacity to peak demand of nearly 2.. Due to the intermittent nature of wind power generation, its deployment requires a significant amount of reserve capacity in the form of firm capacity. While the integration of CCS-equipped capacity increases total system cost significantly, this strategy is able to achieve truly low-carbon power generation at 0.04 tCO2/MWh. Via a simple example, this work elucidates how the changing system requirements necessitate a paradigm shift in the value perception of power generation technologies