Titlebook: Artificial General Intelligence; 10th International C Tom Everitt,Ben Goertzel,Alexey Potapov Conference proceedings 2017 Springer Internat

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A Formal Model of Cognitive Synergyg bottlenecks encountered during their internal processing. – has been posited as a key feature of real-world general intelligence, and has been used explicitly in the design of the OpenCog cognitive architecture. Here category theory and related concepts are used to give a formalization of the cogn

职业拳击手

Generic Animatseds, sensors, and motors. It also has a memory structure that undergoes continuous development and constitutes the basis for decision-making. The mechanisms for learning and decision-making are generic in the sense that they are the same for all animats. The goal of the decision-making is always the

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弯弯曲曲

DSO Cognitive Architecture: Unified Reasoning with Integrative Memory Using Global Workspace Theoryore general level of artificial intelligence in computational intelligent systems. Our design is centered on the concept of unified reasoning that indirectly addresses the diversity dilemma in designing cognitive architectures. This is done by implementing an integrative memory with the incorporatio

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A General (Category Theory) Principle for General Intelligence: Duality (Adjointness)humans. Yet, the predominant instance-driven approach in AI appears antithetical to this goal. This situation raises a question: What (if any) general principles underlie general intelligence? We approach this question from a (mathematical) category theory perspective as a continuation of a categori

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温和女孩

dysphagia

From First-Order Logic to Assertional Logicritical issues for this purpose. Instead, we propose an alternative called assertional logic, in which all syntactic objects are categorized as set theoretic constructs including individuals, concepts and operators, and all kinds of knowledge are formalized by equality assertions. We first present a

广口瓶

Genetic Algorithms with DNN-Based Trainable Crossover as an Example of Partial Specialization of Geny is to specialize this procedure w.r.t. any given narrow task. However, complete specialization that implies direct mapping from the task parameters to solutions (discriminative models) without search is not always possible. In this paper, partial specialization of general search is considered in t