This paper describes the coevolution of phenotypes in a community comprising a population of predators and of prey. It is shown that evolutionary cycling is a likely outcome of the process. The dynamical systems on which this description is based are constructed from microscopic stochastic birth and death events, together with a process of random mutation.… (More)
Evolution takes place in an ecological setting that typically involves interactions with other organisms. To describe such evolution, a structure is needed which incorporates the simultaneous evolution of interacting species. Here a formal framework for this purpose is suggested, extending from the microscopic interactions between individuals--the immediate… (More)
Mobile Agent systems have attracted considerable attention as means of exploring and manipulating distributed information sources. However, many existing multi-agent platforms present limitations in terms of adaptability and scalability, indicating difficulties when trying to replicate these results on a large scale. We describe the core of a novel mobile… (More)
The Decentralised Information Ecosystem Technologies (DIET) project is concerned with the development of a robust, adaptable and scalable software platform for multi-agent systems applied to information processing. Features of the platform, and of research directions in the project that relate to the scalability of multi-agent systems, are discussed.
A lot of work is devoted to formalizing and devising architectures for agents' cooperative behaviour, for coordinating the behaviour of individual agents within groups, as well as to designing agent societies using social laws. However, providing agents with abilities to automatically devise societies so as to form coherent emergent groups that coordinate… (More)
The complexity of the current global information infrastructure requires novel means of understanding and exploiting the dynamics of information. One means may be through the concept of an information ecosystem. An information ecosystem is analo gous to a natural ecosystem in which there are flo ws of materials and energy analo gous to information flow… (More)
Working Papers are interim reports on work of the International Institute for Applied Systems Analysis and have received only limited review. Views or opinions expressed herein do not necessarily represent those of the Institute, its National Member Organizations, or other organizations supporting the work. ADN The Adaptive Dynamics Network at IIASA fosters… (More)
We introduce self-interested evolutionary market agents, which act on behalf of service providers in a large decentralised system, to adaptively price their resources over time. Our agents competitively co-evolve in the live market, driving it towards the Bertrand equilibrium, the non-cooperative Nash equilibrium, at which all sellers charge their reserve… (More)
We present a novel market-based method, inspired by retail markets, for resource allocation in fully decentralised systems where agents are self-interested. Our market mechanism requires no coordinating node or complex negotiation. The stability of outcome allocations , those at equilibrium, is analysed and compared for three buyer behaviour models. In… (More)
Evolvability, the capacity to evolve, is a topic that links computer science and biology. In this paper I introduce the subject by reviewing some recent work in the area, and go on to suggest some open questions relating to evolvability.