International Conference on Intelligent Information Processing 

About: International Conference on Intelligent Information Processing is an academic conference. The conference publishes majorly in the area(s): Computer science & Cluster analysis. Over the lifetime, 1075 publications have been published by the conference receiving 4314 citations.

Agent-Based Computing

Abstract: Agent-based computing represents an exciting new synthesis for both Artificial Intelligence and, more generally, Computer Science. It has the potential to improve the theory and the practice of modelling, designing and implementing complex computer systems. Yet, to date, there has been little systematic analysis of what makes the agent-based approach such an appealing and powerful computational model. To rectify this situation, this paper aims to tackle exactly this issue. The standpoint of this analysis is the role of agent-based software in solving complex, realworld problems. In particular, it will be argued that the development of robust and scalable software systems requires autonomous agents that can complete their objectives while situated in a dynamic and uncertain environment, that can engage in rich, high-level interactions, and that can operate within flexible organisational structures.

A New Robust Watermarking Scheme Based on RDWT-SVD

Abstract: In this paper, a new method for non-blind image watermarking that is robust against affine transformation and ordinary image manipulation is presented. The suggested method presents a watermarking scheme based on redundant discrete wavelet transform and Singular Value Decomposition. After applying RDWT to both cover and watermark images, we apply SVD to the LL subbands of them. We then modify singular values of the cover image using singular values of the visual watermark. The advantage of the proposed technique is its robustness against most common attacks. Analysis and experimental results show higher performance of the proposed method in comparison with the DWT-SVD method.

Computer games with intelligence

Abstract: —Artificial Intelligence (AI) is playing an increasingly important role in the success or failure of computer games and the quality and complexity of the AI techniques employed in games is steadily increasing. The paper explores the use of AI in games focusing on difficulties faced by game developers and techniques that have proven useful. Particular attention is given to a recently released popular game that makes extensive use of AI. The paper highlights the potential benefits of collaboration between academic AI researchers and the games industry and specific focuses for potential collaboration are suggested.

Managing Multiple Ontologies and Ontology Evolution in Ontologging

Abstract: Ontologging is an ontology-driven environment to enable next generation knowledge management applications building on Semantic Web technology. In this paper we first present the conceptual architecture underlying Ontologging. Second, we focus on two important challenges for ontology-based knowledge management, namely the supporting multiple ontologies and managing ontology evolution. We will provide a general approach for handling these two essential issues within the Ontologging architecture.