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AI Aspects in Reasoning, Languages, and Computation

technologies and advances in artificial intelligence (AI). Reflecting the growing realization that computational models of human reasoning and;

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AI Aspects in Reasoning, Languages, and Computation

technologies and advances in artificial intelligence (AI). Reflecting the growing realization that computational models of human reasoning and;

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Computation and Intelligence

Computation and Intelligence brings together 29 readings in Artificial Intelligence that are particularly relevant to today's student;

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AAAI-90

-representation systems, inheritance, nonmonotonic logic, nonstandard logics, temporal reasoning. Machine Architectures and Computer Languages for AI;

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Intelligent Computer Mathematics

accepted for presentation and publication. The events focused on the use of AI techniques within symbolic computation and the application;

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PRICAI 2021: Trends in Artificial Intelligence

the following topical headings: AI Foundations / Decision Theory, Applications of AI, Data Mining and Knowledge Discovery, Evolutionary;

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Probabilistic Reasoning in Intelligent Systems

with partial belief and offers a unifying perspective on other AI approaches to uncertainty, such as the Dempster-Shafer formalism, truth;

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Principles and Practice of Semantic Web Reasoning

forms of reasoning with a strong interest in rule-based languages and methods. Coverage includes theoretical work on reasoning methods, concrete;

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AI*IA 2019 - Advances in Artificial Intelligence

been organized in the following topical sections: Knowledge Representation for AI, AI and Computation, Machine Learning for AI, and AI and;

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Semantic Techniques in Quantum Computation

techniques, and communication primitives. This book explores quantum computation from the perspective of the branch of theoretical computer science;

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Constraint Processing

complexity analysis Synthesizes three decades of researchers work on constraint processing in AI, databases and programming languages;

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Efficient Computation of Argumentation Semantics

decomposition methods that drive increasingly efficient logic computation in AI and intelligent systems. Such complex and distributed systems are;

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Advances in Artificial Intelligence, Computation, and Data Science

Artificial intelligence (AI) has become pervasive in most areas of research and applications. While computation can significantly reduce;

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Case-Based Reasoning Research and Development

. They deal with AI and related research focusing on comparison and integration of CBR with other AI methods such as deep learning architectures;

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Geometric Computation

role of algebraic computation, it covers: surface blending, implicitization, and parametrization; automated deduction with Clifford algebra and;

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Trustworthy AI - Integrating Learning, Optimization and Reasoning

AI - Integrating Learning, Optimization and Reasoning, TAILOR 2020, held virtually in September 2020, associated with ECAI 2020, the 24th;

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Artificial Intelligence

. After a general introduction to AI, including its history, tools, research methods, and its relation to psychology, Garnham gives an account;

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Artificial Intelligence

. After a general introduction to AI, including its history, tools, research methods, and its relation to psychology, Garnham gives an account;

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Introduction To Formal Languages And Machine Computation, An

This book provides a concise and modern introduction to Formal Languages and Machine Computation, a group of disparate topics in the theory;

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Introduction To Formal Languages And Machine Computation, An

This book provides a concise and modern introduction to Formal Languages and Machine Computation, a group of disparate topics in the theory;

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New Topics in Theoretical Computer Science

Theoretical computer science focuses on the more abstract, logical and mathematical aspects of computing, such as the theory of computation;

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Artificial Believers

science: philosophy, linguistics, psychology, neuropsychology, and also AI itself.;

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Artificial Believers

science: philosophy, linguistics, psychology, neuropsychology, and also AI itself.;

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Practical Aspects of Declarative Languages

- answer set programming, types, parallelism and distribution, code quality assurance, domain specific languages, programming aids, constraints;

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Blended Cognition

, engineering, logics, and AI. In a nutshell: understanding better humans for designing better machines. Any person with interests on natural and;

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Parallel Computation

numerics, parallel languages, and tools and algorithms.;

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Einde inhoud

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