Data clustering is the process of partitioning a set of data objects into meaning clusters or groups. Due to the vast usage of clustering algorithms in many fields, a lot of research is still going on to find the best and efficient clustering algorithm. K-means is simple and easy to implement, but it suffers from initialization of cluster center and hence trapped in local optimum. In this paper...

Distributed Constraint Optimization (DCOP) provides a rich framework for modeling multi-agent coordination problems. Existing problem domains for DCOP focus on small (<100 variables), deterministic domains. We present a mapping to DCOP for large-scale team coordination problems that were used in the DARPA Coordinators program. This domain requires distributed, scalable algorithms to meet diffic...

Publications are aplenty, particularly during the COVID-19 pandemic. As of February 10, 2022, there 241,998 publications on Web Science Core Collection. Of these publications, 22,457 review articles, and 147,381 articles. The United States America (n = 67026) Republic China 23,929) contributed to most pandemic publications.

According to the popular folklore of the two fields, the classical, symbolic paradigm of Artificial Intelligence research is incompatible with new ideas from Artificial Life, such as behaviour-based architecture, collective intelligence, and evolutionary computation. This paper seeks to debunk this myth through three experiments which employ techniques from both paradigms. These experiments all...

Nilsson, N.J., Logic and artificial intelligence, Artificial Intelligence 47 (1990) 31-56. The theoretical foundations of the logical approach to artificial intelligence are presented. Logical languages are widely used for expressing the declarative knowledge needed in artificial intelligence systems. Symbolic logic also provides a clear semantics for knowledge representation languages and a me...

This article presents a hybrid evolutionary algorithm (PSABC) based on Artificial Bee Colony (ABC) and particle swarm optimization (PSO). Both of the algorithms are co-operative, population-based global search swarm intelligence met heuristics. The core of this algorithm is using PSO to optimize the fitness value of population in ABC. For Evaluation purpose, the proposed algorithm is tested on ...

The fact that artificial text segments can be generated, which are recognizable by humans but not by artificial intelligence, shows that research in the field of artificial intelligence in the range of optical character recognition is not as advanced as it could be. Such artificial text segments serve as human interaction proofs in the field of computer security mechanisms, also known as CAPTCH...

Artificial intelligence (AI) has made great strides in five decades. Some scientists believe it is merely a matter of time before AI achieves human levels of intelligence. They base their argument on the fact that any human act which can be reduced to algorithms (there are theorists who argue that this includes everything) can be emulated by a computer program. An algorithm is a step by step pr...