From Intelligent Control to Cognitive Control

Kawamura, K.; Gordon, Stephen

doi:10.1109/wac.2006.376003

Cited by 12 publications

(5 citation statements)

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“…Botvinick, Braver, Barch, Carter, & Cohen, 2001; on modeling the putative control process of conflict monitoring). Slightly further afield, theories of behavior control that are grounded in cognitive psychological theories of control have been implemented in both fixed (Kawamura & Gordon, 2006) and mobile robots (Chernova & Arkin, 2007), while in psycholinguistics it has been argued that cognitive control, and processes related to task switching and inhibition in particular, play a key role in the language processing of bilinguals (Bialystok & Viswanathan, 2009). Even in philosophy of mind the possible existence of such processes would seem to answer some thorny questions (by partially decomposing the homunculus of central cognition) but raise others (about how control processes are themselves controlled).…”

Section: Introductionmentioning

confidence: 99%

Cognitive Control: Componential or Emergent?

Cooper

2010

Topics in Cognitive Science

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The past 25 years have witnessed an increasing awareness of the importance of cognitive control in the regulation of complex behavior. It now sits alongside attention, memory, language, and thinking as a distinct domain within cognitive psychology. At the same time it permeates each of these sibling domains. This introduction reviews recent work on cognitive control in an attempt to provide a context for the fundamental question addressed within this topic: Is cognitive control to be understood as resulting from the interaction of multiple distinct control processes, or are the phenomena of cognitive control emergent?

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Section: Introductionmentioning

confidence: 99%

Cognitive Control: Componential or Emergent?

Cooper

2010

Topics in Cognitive Science

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“…Given that symbols are typically considered to be discrete computational objects (Dorffner, Prem, & Trost, 1993) they can be manipulated independently from one another. Therefore, database-like structures are frequently used because they provide a straightforward way of iterating through the available symbols in the search for matches for retrieval and/or other manipulation (e.g., Kawamura & Gordon, 2006). Alternatively, taxonomic structures are used in attempting to increase the efficiency of storage and retrieval, with variations such as the use of on-line chunking in Soar (Young & Lewis, 1999).…”

Section: Memory In Synthetic Systemsmentioning

confidence: 99%

A review of long-term memory in natural and synthetic systems

2011

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Memory may be broadly regarded as information gained from past experience that is available in the service of ongoing and future adaptive behavior. The biological implementation of memory shares little with memory in synthetic cognitive systems where it is typically regarded as a passive storage structure. Neurophysiological evidence indicates that memory is neither passive nor centralized. A review of the relevant literature in the biological and computer sciences is conducted and a novel methodology is applied that incorporates neuroethological approaches with general biological inspiration in the design of synthetic cognitive systems: a case study regarding episodic memory provides an illustration of the utility of this methodology. As a consequence of applying this approach to the reinterpretation of the implementation of memory in synthetic systems, four fundamental functional principles are derived that are in accordance with neuroscientific theory, and which may be applied to the design of more adaptive and robust synthetic cognitive systems: priming, cross-modal associations, cross-modal coordination without semantic information transfer, and global system behavior resulting from activation dynamics within the memory system

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“…De estas investigaciones se han derivado nuevas concepciones de los sistemas (Galán et al, 2000), (Kawamura & Gordon, 2006) o (Roy, 2007), metodologías y dispositivos inteligentes interactivos (Stanton, 2006) y estrategias de control (Sun & Bringsjord, 2007).…”

Section: Leonardo Da Vinci Escribióunclassified

“…Siendo esto así para que un robot pueda dar manifestación de poseer control cognitivo debe desarrollar inteligencia senso-motora robusta empleando, para ello, una arquitectura de control de robot, por ejemplo basada en multi-agentes, y un control inteligente inspirado biológicamente (Kawamura & Gordon, 2006).…”

Section: El Control Cognitivo Y Sus Característicasunclassified

“…Por la abundante información existente para este análisis se han escogido las arquitecturas cognitivas estudiadas anteriormente: COG (Dorneich et al, 2005), ISAC (Kawamura & Gordon, 2006), ICARUS (Langley, 2006), Cicerobot (Chella et al, 2007), CLARION (Sun & Bringsjorn, 2007), KISMET (Vernon et al, 2007), ARISCO (Zalama et al, 2007) y URBANO (Rodríguez-L. et al, 2008).…”

Section: Análisis Comparativounclassified

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Análisis y diseño de sistemas cognitivos para robots autónomos

Chang¹

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The autonomous robots are currently taking an important role in society. They can provide with help at home, hospitals, companies and industrial environments, as well as space missions in an autonomous and intelligent way through the implementation of cognitive architecture.This thesis comprehends the study from the design of cognitive systems for autonomous robots and proposes a cognitive architecture, compounded by agents, for the choice selection in autonomous robots with the purpose to excel the knowledge. This knowledge refers to all the criteria used to choose the most convenient task as the evaluation fro the mission objectives. This way, the robot could perceive and behave in the real world, learning from the relationship with its surroundings and using this experience in the process to planify, control and act depending on the most efficient choice selection.The architecture proposed comprehends, among others, one agent that implements an informatics ontology to represent all the necessary in a semantic process; a mechanism on the choice selection or a task manager from the robot during a certain period or to fulfil a mission and an objective function based on a "scale of values" that affect in the quality of the actions taken from the robot.The proposed model is flexible enough as it can build up with new knowledge, that will be classified with the default ones, category and affecting the decision making for e new value or specific attribute.The thesis develops different prototypes that allow validation the architecture proposed.

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From Intelligent Control to Cognitive Control

Cited by 12 publications

References 13 publications

Cognitive Control: Componential or Emergent?

Cognitive Control: Componential or Emergent?

A review of long-term memory in natural and synthetic systems

Análisis y diseño de sistemas cognitivos para robots autónomos

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