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

Kotseruba, Iuliia; Tsotsos, John K.

doi:10.1007/s10462-018-9646-y

Cited by 335 publications

(210 citation statements)

References 444 publications

(561 reference statements)

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“…As noted by Al-Razgan et al [13] in their systematic review of robotics, the field of robotics research has become fragmented. The same can be said of the wider domain of cognitive architectures as noted in the recent survey of the research field [74]. Funding models for research in the domain require that specific engineering solutions to problems be found.…”

Section: Discussionmentioning

confidence: 89%

Reasoning with BDI Robots: From simulation to physical environment – Implementations and Limitations

Davis¹,

Ramulu

2017

Paladyn, Journal of Behavioral Robotics

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Abstract:In this paper an overview of the state of research into cognitive robots is given. This is driven by insights arising from research that has moved from simulation to physical robots over the course of a number of sub-projects. A number of major issues arising from seminal research in the area are explored. In particular in the context of advances in the field of robotics and a slowly developing model of cognition and behaviour that is being mapped onto robot colonies. The work presented is ongoing but major themes such as the veracity of data and information, and their effect on robot control architectures are explored. A small number of case studies are presented where the theoretical framework has been used to implement control of physical robots. The limitations of the current research and the wider field of behavioral and cognitive robots are explored.

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Section: Discussionmentioning

confidence: 89%

Reasoning with BDI Robots: From simulation to physical environment – Implementations and Limitations

Davis¹,

Ramulu

2017

Paladyn, Journal of Behavioral Robotics

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“…A cognitive map or, with a graph-based approach, a cognitive graph can represent parts of systems with a cognitive architecture and in this way be put in one or another cognitive architecture. The work [17] describes some cognitive architectures, the method of description giving an opportunity to think about the compatibility of the presented architectures with the formalism of cognitive maps. The abovementioned work understands the cognitive architectures as software systems that might think about problems in different areas, develop ideas, adapt to new situations, and reflect upon themselves.…”

Section: Related Workmentioning

confidence: 99%

Computational Model for the Construction of Cognitive Maps

Ismailova¹,

Kosikov²,

Wolfengagen³

2020

Cognitive and Intermedial Semiotics

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The chapter considers an option for solving the problem of storing data in the Web environment and providing an access to the data, taking into account their semantics, i.e., in accordance with the nature of the tasks solved by users of different classes. The proposed solution is based on the use of presentation of the data in the form of semantic networks. As the main technical tool for describing access methods, the chapter proposes cognitive maps (CMs), which can also be considered as semantic networks of special type. When access is done, the presentation of information consistent with the semantic description of the user is provided. The suggested method of constructing CMs is based on the intensional logic. The solution is presented in the form of a computational model, which provides for the construction of CM's dependence on the parameter. The proposed method of parametrization makes it possible to take into account the semantic characteristics of users of various classes. Some CM constructions for problem domain description are presented. A method for semantically oriented naming of CMs is proposed. The method is based on building of a functor of special type.The semantic measurement of data structures leads to the necessity to change respectively the methods of their description, searching in the environment of such structures and manipulating them [2].The need to use semantically rich network structures requires to develop semantically oriented methods for describing data structures and their processing, in particular, the definition of semantically oriented search methods [3]. Different users must work with different fragments of data, which are determined by the goals of their work, the source data that is necessary to achieve the goals, a set of appropriate access rights, etc. All this raises the problem of providing access to data, which should take into account both the class of the user, getting the access, and its characteristics, as well as the semantics of the data, to which the access is allowed, in particular, providing a user-friendly representation of the data.The means of describing users and the means of their access to data, considering the specifics of the tasks to be solved, must combine power enough to distinguish the relevant elements of the description and simplicity. It makes it possible to practically use the descriptions without cumbersome instrumental kits. The means of description should fix the user's view on the subject area, which should be sufficiently detailed to describe the classes of problems to be solved, but without redundant detailing that might lead to an increase in the volume and complexity of the description. The use of cognitive maps (CMs) seems promising in this aspect.Cognitive maps are diagrams used to visually organize information. Various works define the cognitive maps in various ways. For example, CM's can be used to represent spatial relations and determine the mutual position of information elements in a physical environment. CMs also can be used to re...

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“…Much like knowledge representations for robots, cognitive architectures modularize different components that are central to thoughts, perception, inference, and action and have them connected with one another based on cognitive theories. For an extensive overview of such architectures, we encourage readers who are interested in learning more about them to refer to a review done by Kotseruba and Tsotsos [24]. Within robotics, cognitive architectures are extensively studied in the field of developmental robotics as a means of understanding how we develop sensory and motor skills as an infant.…”

Section: Cognitive Architecturesmentioning

confidence: 99%