In the new era of intelligence revolution beyond information and computing revolutions,a brain-like intelligent system is emerging known as cognitive robots.A cognitive robot is an autonomous system that is capable of...
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In the new era of intelligence revolution beyond information and computing revolutions,a brain-like intelligent system is emerging known as cognitive robots.A cognitive robot is an autonomous system that is capable of perception,learning,and inference mimicking the cognitive mechanisms of the brain by computational *** robotics is a discipline that studies theories,mathematical means,implementations,and engineering applications of cognitive *** theoretical foundations of cognitive robotics are underpinned in brain science,cognitive science,abstract intelligence,knowledge science,intelligence science,cognitive linguistics,and denotational *** keynote lecture presents the latest advances in theories and applications of cognitive robotics and brain-inspired *** theoretical framework of cognitive robotics and its denotational mathematical means such as concept algebra,semantic algebra,behavioral process algebra,and inference algebra are *** challenges in cognitive robotics are formally studied on what the necessary and sufficient intelligent behaviors of cognitive robots are,and what distinguish the intelligent capabilities of cognitive robots from their imperative *** structural and functional models of cognitive robots are explored at the intelligent layers of imperative,autonomic,and cognitive *** progress in cognitive robotics has led to the development of cognitive systems,nextgeneration computers,and cognitive machine learning engines,as well as the growth of contemporary knowledge-based industries.
The metabolic syndrome is a combination of medical disorders that have become a significant problem in Asian countries due to the change in lifestyle and food habits. Thus a prognostic model can help the medical exper...
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Many of the optimization problems in the real world are multi-objective in nature,and NSGA II is commonly used. Frequently,the multi-objective problems present a high complexity,so classical meta-heuristic algorithms ...
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Many of the optimization problems in the real world are multi-objective in nature,and NSGA II is commonly used. Frequently,the multi-objective problems present a high complexity,so classical meta-heuristic algorithms fail to solve them in a reasonable amount of time. In this context,parallelism is a choice to overcome this fact to some extent. In this paper we study three different models i.e. trigger model,island model and cone separation model to parallelize NSGA-II,by considering 0/1 knapsack problem as a case study. Further we emphasize on two factors that scale the parallelism i.e.,convergence and time. The experimental results conform that cone separation model is better than other two models in terms of processing time and approximation to true Pareto front.
As a novel system description and problem solving method,agent organization can potentially decrease the difficulty of problem solving and reduce the complexity of agent *** research about agent organization are mostl...
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As a novel system description and problem solving method,agent organization can potentially decrease the difficulty of problem solving and reduce the complexity of agent *** research about agent organization are mostly being undertaken in agent organization model,organization structure,organization rules, organization formation and evolution,so it is necessary to extend the research to analyze mental states and their *** this paper,the mental states of commitments in agent organization are defined and analyzed including internal commitment,social commitment,Group commitment and organization *** semantics and properties of different commitments are given so that advances the works associated with agent organization.
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