Agent-based computing represents a new and very signi cant paradigm for building a wide range of software applications. In this paper, we describe our research project on the development of a software agent-based architecture for Distributed Problem Solving (DPS). Such agents must be heterogeneous and adaptive in nature to satisfy increasing requests due to cooperation capabilities exhibited by DPS applications (e.g., computer vision applications such as biomedical imaging and image retrieval on the Web, distributed and intelligent information retrieval, and so on). We give a brief introduction to the overall architecture design and focus our attention on the lowest level agents, called W-bots (Working Software Robots). We de ne the nature of such agents and describe their ways of interaction and their adaptive capabilities.
ARCELLI FONTANA, F., De Santo, M. (2000). Distributed Agents for Problem Solving. INTERNATIONAL JOURNAL OF COMPUTERS AND APPLICATIONS, 22(1), 78-87.
Distributed Agents for Problem Solving
ARCELLI FONTANA, FRANCESCA;
2000
Abstract
Agent-based computing represents a new and very signi cant paradigm for building a wide range of software applications. In this paper, we describe our research project on the development of a software agent-based architecture for Distributed Problem Solving (DPS). Such agents must be heterogeneous and adaptive in nature to satisfy increasing requests due to cooperation capabilities exhibited by DPS applications (e.g., computer vision applications such as biomedical imaging and image retrieval on the Web, distributed and intelligent information retrieval, and so on). We give a brief introduction to the overall architecture design and focus our attention on the lowest level agents, called W-bots (Working Software Robots). We de ne the nature of such agents and describe their ways of interaction and their adaptive capabilities.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.