Building Robots with Analogy-Based Anticipation

Petkov, Georgi; Naydenov, Tchavdar; Grinberg, Maurice; Kokinov, Boicho

doi:10.1007/978-3-540-69912-5_7

Cited by 5 publications

(10 citation statements)

References 10 publications

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“…The latter is then involved in symbolic operations, like marker passing, correspondence hypotheses rating, etc. (see [5] for details), which support the reasoning processes.…”

Section: The Rascalli Architecturementioning

confidence: 58%

“…The development of the DUAL/AMBR model in the robotic context [5] added new anticipatory mechanisms to the the mechanisms mentioned above. Anticipated objects and relations from LTM episodes are added to the problem at hand as expectations.…”

Section: The Rascalli Architecturementioning

confidence: 99%

“…Anticipated objects and relations from LTM episodes are added to the problem at hand as expectations. Anticipatory mechanisms are used also for active perception and selective attention [5]. In this paper, we present a new mechanism used for transfer and evaluation of knowledge between distant domains which will be discussed bellow.…”

Section: The Rascalli Architecturementioning

confidence: 99%

“…The DUAL/AMBR architecture is based on the principle of local, context sensitive, and emergent parallel computation and integration and interaction of memory retrieval, mapping, transfer, and evaluation in reasoning by analogy. Work reported in recent publications (see [5] and [? ]) has implemented several new mechanisms, including anticipatory ones, which turned the model into a fully operational cognitive module integrating memory, reasoning, perception, decision making and action.…”

Section: Introductionmentioning

confidence: 99%

“…]) has implemented several new mechanisms, including anticipatory ones, which turned the model into a fully operational cognitive module integrating memory, reasoning, perception, decision making and action. This is the only model which integrates explicitly anticipation based on analogy and in which the anticipatory mechanisms are used essentially in perception, evaluation and action [5].…”

Section: Introductionmentioning

confidence: 99%

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The Embodiment of a DUAL/AMBR Based Cognitive Model in the RASCALLI Multi-agent Platform

Kostadinov

Grinberg

Intelligent Virtual Agents

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Abstract. The current paper explores some of the cognitive abilities of an embodied agent based on the DUAL/AMBR architecture. The model has been extended with several capabilities like continuous operation and learning based on encoding of episodes and general knowledge. A new mechanism of analogical transfer has been implemented and demonstrated on a simulated interaction with a user. A focus of interest discussed throughout the paper is how a cognitive model can be embodied in a virtual environment and what are the benefits of combining soft cognitive capabilites with hard AI based platform. The latter is based on a Mind-Body-Environment metaphor which positions the cognitive agent in a situation similar to the one of a robot in a real environment. In the paper, results from simulations of simple interactions with a hypothetical user are presented and the internal cognitive mechanisms are discussed.

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“…The latter is then involved in symbolic operations, like marker passing, correspondence hypotheses rating, etc. (see [5] for details), which support the reasoning processes.…”

Section: The Rascalli Architecturementioning

confidence: 58%

Section: The Rascalli Architecturementioning

confidence: 99%

Section: The Rascalli Architecturementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Embodiment of a DUAL/AMBR Based Cognitive Model in the RASCALLI Multi-agent Platform

Kostadinov

Grinberg

Intelligent Virtual Agents

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40 years of cognitive architectures: core cognitive abilities and practical applications

2018

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In this paper we present a broad overview of the last 40 years of research on cognitive architectures. To date, the number of existing architectures has reached several hundred, but most of the existing surveys do not reflect this growth and instead focus on a handful of well-established architectures. In this survey we aim to provide a more inclusive and highlevel overview of the research on cognitive architectures. Our final set of 84 architectures includes 49 that are still actively developed, and borrow from a diverse set of disciplines, spanning areas from psychoanalysis to neuroscience. To keep the length of this paper within reasonable limits we discuss only the core cognitive abilities, such as perception, attention mechanisms, action selection, memory, learning, reasoning and metareasoning. In order to assess the breadth of practical applications of cognitive architectures we present information on over 900 practical projects implemented using the cognitive architectures in our list. We use various visualization techniques to highlight the overall trends in the development of the field. In addition to summarizing the current state-of-the-art in the cognitive architecture research, this survey describes a variety of methods and ideas that have been tried and their relative success in modeling human cognitive abilities, as well as which aspects of cognitive behavior need more research with respect to their mechanistic counterparts and thus can further inform how cognitive science might progress.

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