Bücher der Reihe Cognitive Technologies

This monograph explores the synergy of Artificial Intelligence (AI), Augmented Reality (AR) and cognitive processes to enhance spatial abilities ¿ an integral aspect of cognitive development. The ability to comprehend and manipulate spatial information is not only fundamental to our understanding of the physical world but also plays a pivotal role in numerous academic and professional fields. Recognizing the profound impact of spatial ability on scientific disciplines and educational achievement, this monograph takes on the challenge of enhancing spatial skills among users.The authors present the design and development of a mobile training system that incorporates AR features to enhance learners¿ spatial ability. Involving mental generation, transformation, and rotation of visual images for understanding spatial relationships, spatial ability is closely linked to success in various scientific disciplines and educational pursuits. While spatial visualization skills testsare available, this monograph takes a unique approach by focusing on developing targeted interventions to improve spatial ability. It aims to unlock new avenues for cognitive growth and dive into the untapped potential within the realm of spatial intelligence. Beyond its emphasis on spatial ability enhancement, this monograph goes above and beyond traditional approaches by integrating AI techniques into the training system. As such, it aims to provide personalized and adaptive learning experiences for learners. The training system, through intelligent techniques, dynamically analyzes individual learners¿ strengths, weaknesses, and progress, tailoring content and challenges to their specific needs. This effort establishes a new frontier in educational technology, offering a groundbreaking solution that not only augments spatial ability development but also showcases the transformative potential of AI in reshaping the learning experience.The book is a valuable resource for researchers, educators, developers and technology enthusiasts, as it exemplifies the profound impact of AI and AR in shaping the future of online learning experiences.

This book reviews the basics of rule learning as applied to classical machine learning and modern data mining. It connects attribute-value learning with inductive logic programming, and offers complete coverage of most important elements of rule learning.

This book offers a detailed assessment of the results of SemProM, a major industrial/academic research project that examined the design and implementation of semantic product memories. Covers basic principles and shows how to build, model and process DPMs.

This book focuses on rare category analysis where the majority classes have smooth distributions and the minority classes exhibit the compactness property. It focuses on challenging cases where the support regions of the majority and minority classes overlap.

The stakeholders of the Language Grid are the language resource providers, the language service users, and the language grid operators who coordinate the former.This book includes 18 chapters in six parts that summarize various research results and associated development activities on the Language Grid.

The author first elaborates on programming paradigms and languages, constraints, and the merging of programming concepts which yields multiparadigm (constraint) programming languages.

This book teaches the principles of natural language processing and covers linguistics issues. A key feature of the book is the author's hands-on approach throughout, with extensive exercises, sample code in Prolog and Perl, and a detailed introduction to Prolog.

"Only a small community has concentratedon general intelligence. What distinguishes AGI work from run-of-the-mill "arti?cial intelligence" research is that it is explicitly focused on engineering general intelligence in the short term.

With contributions by leading scientists in the field, this book gives the first comprehensive overview of the results of the seminal SmartKom project - one of the most advanced multimodal dialogue systems worldwide.

This book covers modularity and independence in classical and nonclassical logic, including many-valued logics and structures, plus neighbourhood semantics and their connection to independence, as well as their common points and differences for various logics.

This book presents general methods for analysing the complexity of optimisation problems cast as valued constraint satisfaction problems (VCSPs). It is an ideal resource for researchers in constraint programming and discrete optimisation.

We review the elements of the graphical user interface of traditional spreadsheet applications and describe practical methodologies for designing user interfaces borrowed from the field of cognitive psychology.

This book uses the latest in knowledge representation and human-computer interaction to address the problem of contextual computing in artificial intelligence. It uses high-level context to solve some challenging problems in natural language understanding.

Given that context-free grammars (CFG) cannot adequately describe natural languages, grammar formalisms beyond CFG that are still computationally tractable are of central interest for computational linguists.

This book is suitable for researchers and postgraduates in the areas of artificial intelligence, database theory, and logic. The authors illustrate the idea through the presentation of various algorithms and offer the most-up-to-date book on this topic.

"Only a small community has concentratedon general intelligence. What distinguishes AGI work from run-of-the-mill "arti?cial intelligence" research is that it is explicitly focused on engineering general intelligence in the short term.

This book covers general logical tools for handling change. The tools are preferential reasoning, theory revision and reasoning in inheritance systems. Logics examined are nonmonotonic, deontic, modal, intuitionistic and temporal as well as counterfactuals.

This book presents biologically inspired walking machines interacting with their physical environment, and shows how the morphology and behavior control of machines can benefit from biological studies.

Programming with constraints makes it possible to model and specify problems with uncertain, incomplete information and to solve combi natorial problems, as they are abundant in industry and commerce, such as scheduling, planning, transportation, resource allocation, layout, design, and analysis.

Reinforcement learning has evolved to tackle domains that are yet to be fully understood, or are too complex for a closed description. In this book the author investigates whether suitable abstraction methods can overcome the discipline's deficiencies.

This book explores the adaptation of cognitive processes to limited resources. It deals with resource-bounded and resource-adaptive cognitive processes in human information processing and human-machine systems plus the related technology transfer issues.

This book explores why, regarding practical reasoning, humans are sometimes still faster than artificial intelligence systems. It is the first to offer a self-contained presentation of neural network models for many computer science logics.

Starting with detailed introductions to information fusion and integration, measurement and probability theory, fuzzy sets, and functional equations, the authors then cover numerous topics in detail, including the synthesis of judgements, fuzzy measures, weighted means and fuzzy integrals.

This book explores the adaptation of cognitive processes to limited resources. It deals with resource-bounded and resource-adaptive cognitive processes in human information processing and human-machine systems plus the related technology transfer issues.

The first textbook ever to cover multi-relational data mining and inductive logic programming, this book fully explores logical and relational learning. Ideal for graduate students and researchers, it also looks at statistical relational learning.

This book describes the theory, methodology and algorithmization of a new approach to problem solving and its realization in intelligent systems. It investigates cognitive reasoning at three levels of abstraction: conceptual, formal, and realizational.

This book examines preference representation, covering languages, nonmonotonic logics of preference and conditional networks, then moves to reasoning, exploring preference-based argumentation, rank-ordering outcomes, database queries and future research trends.

This book introduces a theory of interpretation. It defines a model that enables a meaningful representation of information, based on a dynamic view of information and a cognitive model of human information processing.

This book presents the concept of cognition in a clear, lucid and highly comprehensive style. It provides an in-depth analysis of mathematical models and algorithms, and demonstrates their application with real life experiments.