Agents that interact in a distributed environment might increase their utility by behaving optimally given the strategies of the other agents. To do so, agents need to learn about those with whom they share the same world. This paper examines interactions among agents from a game theoretic perspective. In this context , learning has been assumed as a means to reach equilibrium. We analyze the c...

Feature selection is of great importance in Quantitative Structure-Activity Relationship (QSAR) analysis. This problem has been solved using some meta-heuristic algorithms such as: GA, PSO, ACO, SA and so on. In this work two novel hybrid meta-heuristic algorithms i.e. Sequential GA and LA (SGALA) and Mixed GA and LA (MGALA), which are based on Genetic algorithm and learning automata for QSAR f...

Agents that interact in a distributed environment might increase their utility by behaving optimally given the strategies of the other agents. To do so, agents need to learn about those with whom they share the same world. This paper examines interactions among agents from a game theoretic perspective. In this context , learning has been assumed as a means to reach equilibrium. We analyze the c...

As the number of web pages increases, search for useful information by users on web sites will become more significant. By determining the similarity of web pages, search quality can be improved; hence, users can easily find their relevant information. In this paper, distributed learning automata and probabilistic grammar were used to propose a new hybrid algorithm in order to specify the simil...

The paper is devoted to a mathematical model of concurrency the special case of which is asynchronous system. Distributed asyn-chronous automata are introduced here. It is proved that the Petri nets and transition systems with independence can be considered like the distributed asynchronous automata. Time distributed asynchronous automata are defined in standard way by the map which assigns tim...

$-calculus is a higher-order polyadic process algebra for resource bounded computation. It has been designed to handle autonomous agents, evolutionary computing , neural nets, expert systems, machine learning, and distributed interactive AI systems, in general. $-calculus has built-in cost-optimization mechanism allowing to deal with nondeterminism, incomplete and uncertain information. In this...

Traditional automata theory is an extremely useful abstraction for reasoning about sequential computing devices. For distributed systems, however, there is no clear consensus on how best to incorporate various features such as spatial independence, concurrency and communication into a formal computational model. One appealing and elegant approach is to have a network of automata operating on a ...