Adaptive Agent Oriented Software Architecture (AAOSA) is a new approach to software design based on an agent-oriented architecture. In this approach, agents are considered adaptively communicating concurrent modules that are divided into a "white box" module responsible for communications and learning and a "black box" which is responsible for the independent specialized processes. An AAOSA system is actually parsing input in the interpretation phase. We will show that AAOSA can be applied to the parallel, and distributed parsing of context sensitive languages.

Agent-based computing has been advocated by many researchers and software developers as a promising and innovative way to model, design and implement complex Web-related applications. KODAMA (Kyushu university Open & Distributed Autonomous MultiAgent) project, which is described in this paper, is our endeavour to advance both the technology and engineering of well-known multiagent systems. In particular, we have noted that software agents might be the potential solution to many problems faced by today's Web. However, building a high-quality, large-scale multiagent system, which can operate in open environments, is a great challenge. So far, we have devoted a lot of effort to design and implement a generic agent architecture, a hierarchical agent community structure, and an independent network communication middleware. To ensure that KODAMA can be used to create Web-agent applications, its network communication performance and a prototype distributed database retrieval system have been tested. The result shows that KODAMA is suitable for developing network-aware applications.