machines that can perform useful tasks. They want to develop the technology of intelligence. They want to be able to design and build computer programs that can solve problems and adapt to new situations. In this article, I discuss case-based reasoning, an AI paradigm that addresses both research agendas. Case-based reasoning is a psychological theory of human cognition. It addresses issues in ...

Channel selection is a fundamental problem in Cognitive Radio Networks (CRNs). One basic channel assignment problem is rendezvous, which investigates how secondary users can establish a connection by selecting a common available working channel in the same time slot. Rendezvous is the prerequisite for communication, which however is challenging especially in a dynamic spectrum environment. Link...

As we apply cognitive models to complex, temporally extended tasks, removing declarative knowledge from memory, or forgetting, will become important both to model human behavior, as well as to scale computationally. The base-level activation (BLA) model predicts that the availability of specific memories is sensitive to frequency and recency of use. Memory decay based on this model has long bee...

In this paper, the optimal channel exploration is proposed for cognitive radio networks. In the networks, primary users (PUs) utilize the channels with fixed slot structure. Cognitive users (CUs) should sense the channels within each slot. We study the relationship of the channel states between the nearby slots and range channels by the decreasing idle probabilities of all channels. Then we use...

A technique for Fuzzy Cognitive Maps learning, which is based on the minimization of a properly defined objective function using the Particle Swarm Optimization algorithm, is presented. The workings of the technique are illustrated on an industrial process control problem. The obtained results support the claim that swarm intelligence algorithms can be a valuable tool for Fuzzy Cognitive Maps l...