In this paper, an agent architecture is proposed that can be used to integrate pre-existing components that provide the domain dependent agent functionality. The key integrating fe...
: One of the keys to success for applications of mobile and/or intelligent agents in large-scale open systems such as Internet is the ability of heterogeneous agents to cooperate a...
This paper describes the architecture of a distributed workflow management system in a dynamic environment. The system features autonomous agent components that can adapt to both s...
Maryam Purvis, Martin K. Purvis, Azhar Haidar, Bas...
A key component of any reinforcement learning algorithm is the underlying representation used by the agent. While reinforcement learning (RL) agents have typically relied on hand-...
While agents have emphasised the notion of active software components, they are not likely to be the only active components in agent-based systems. In this paper, we first discuss ...