Nicholas R. Jennings

TL;DR: This paper will argue that analysing, designing and implementing complex software systems as a collection of interacting, autonomous agents (i.e., as a multi-agent system) affords software engineers a number of significant advantages over contemporary methods.

TL;DR: Autonomous agents are a natural way of viewing flexible service providers and consumers and the interactions between these autonomous components are naturally modeled as some form of economic trading process that results in a service contract (or service level agreement) between the agents involved.

TL;DR: A new defender-attacker security game model for escape interdiction on transportation networks and an efficient double oracle algorithm to compute the optimal defender strategy are proposed, which combines mixed-integer linear programming formulations for best response problems and effective approximation algorithms for improving the scalability of the algorithms.

TL;DR: This paper introduces a novel mechanism that incentivises self-interested providers to reveal their true costs and capabilities, and shows how this mechanism is ex-post incentive compatible, efficien and individually rational, and generates approximate solutions while maintaining the economic properties of the mechanism.

TL;DR: This paper analyzes the multi-unit sealed-bid auctions in which a combination of these issues are present, and shows in simulations that taking into account all these issues allows the bidders to maximize their utility.