Open ended intelligence: the individuation of intelligent agents

Weinbaum, David; Veitas, Viktoras

doi:10.1080/0952813x.2016.1185748

Cited by 22 publications

(11 citation statements)

References 19 publications

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“…Part I teases out existing tensions between certain enactive and ecological accounts, suggesting that if we maintain the distinction that Baggs and Chemero (2018) introduce, they can be understood as reflecting underlying compatibilities. There are, nowadays, enactivisms (e.g., Hutto and Myin, 2013;Villalobos and Ward, 2015;Cummins and De Jesus, 2016;Di Paolo et al, 2017) and ecological psychologies (e.g., Gibson, 1979;Chemero, 2009;Rietveld and Kiverstein, 2014;Wilson, 2018a). The focus here is on teasing out compatibilities between the sometimes called "autopoietic enactivism" associated with Di Paolo et al (2017) (hereafter enactivism) and the skilled intentionality framework associated with Bruineberg and Rietveld (2014) and Rietveld and Kiverstein (2014), primarily within ecological psychology.…”

Section: Introductionmentioning

confidence: 97%

Bringing Forth Within: Enhabiting at the Intersection Between Enaction and Ecological Psychology

James

2020

Front. Psychol.

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Baggs and Chemero (2018) propose that certain tensions between enaction and ecological psychology arise due different interpretations about what is meant by the "environment." In the enactive approach the emphasis is on the umwelt, which describes the environment as the "meaningful, lived surroundings of a given individual." The ecological approach, on the other hand, emphasises what they refer to as the habitat "the environment as a set of resources for a typical, or ideal, member of a species." By making this distinction, these authors claim they are able to retain the best of both the ecological and the enactive approaches. Herein I propose an account of the individuation of habits that straddles this distinction, what I call a compatabilist account. This is done in two parts. The first part teases out a host of compatibilities that exist between the enactive account as developed by Di Paolo et al. (2017) and the skilled intentionality framework as developed by Bruineberg and Rietveld (2014) and Rietveld and Kiverstein (2014). In part two these compatibilities are brought together with the that these compatibilities can be brought together with the philosophy of Gilbert Simondon to develop the notion of enhabiting. Enhabiting describes a set of ongoing processes by which an umwelt emerges from and is reproduced within the relationship between an embodied subject and their habitat. Thus, enhabiting points toward a point of intersection between enaction and ecological psychology. To enhabit is bring forth (to enact), within (to inhabit).

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Section: Introductionmentioning

confidence: 97%

Bringing Forth Within: Enhabiting at the Intersection Between Enaction and Ecological Psychology

James

2020

Front. Psychol.

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“…An agency is an adaptive (living system) collective of agents that can act or intervene in relation to an issue, thereby producing a particular effect with, and through, agents acting as autonomous subjects. For Weinbaum and Veitas [74], intelligence is an agency competence defined in relation to an a priori problem domain that involves a formative process of coordinated agent self-organisation. Generic mechanisms are required within agency to enable cognitive alignment across goals, beliefs, and coordinated actions, and, as already indicated, are active through causal-agents.…”

Section: General Collective Intelligence (Gci) and Autopoiesismentioning

confidence: 99%

Autopoiesis and Its Efficacy—A Metacybernetic View

Yolles

Frieden

2021

Systems

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This paper seeks to explain the nature of autopoiesis and its capacity to be efficacious, and to do this, it uses agency theory as embedded in metacybernetics. Agency, as a generalised intelligent adaptive living system, can anticipate the future once it has internalised a representation of an active contextual situation through autopoiesis. The role of observation and the nature of internalisation will be discussed, explaining that the latter has two states that determine agency properties of cognition. These are assimilation and accommodation. Assimilation is an information process and results in implicit cognition and recognition, whereas accommodation uses assimilated information delivering explicit cognition, recognition, and conscious awareness with rationality. Similarly, anticipation, a required property of the living, has two states, weak and strong, and these correspond to the two states of internalisation. Autopoiesis has various properties identifiable through the lenses of three autonomous but configurable schemas: General Collective Intelligence (GCI), Eigenform, and Extreme Physical Information (EPI). GCI is a pragmatic evolutionary approach concerned with a contextually connected purposeful and relatable set of task processes, each undertaken by a team of subagencies seeking collective fitness. Eigenform is a symbolic approach that is concerned with how observations can be suitably internalised and thus be used as a token to determine future behaviour, and how that which has been internalised can be adopted to anticipate the future. Extreme Physical Information (EPI) is an empirical approach concerned with acquiring information through observation of an unknown parameter through sampling regimes. The paper represents the conceptualisations of each schema in terms of autopoietic efficacy, and explores their configurative possibilities. It will adopt the ideas delivered to enhance explanations of the nature of autopoiesis and its efficacy within metacybernetics, providing a shift in thinking about autopoiesis and self-organisation.

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“…Through the use of data mining tools, Ingenias processes the information acquired from the experiments that are executed with MAS. The tool has been validated and evolved in a wide variety of applications based on agents [17].…”

Section: Ingeniasmentioning

confidence: 99%

“…The following section shows the design and development of the framework for the SySAge multiagent system. [11] x x x x Jason [14] x x x x Agentsheets [15] x x x x Cormas [16] x x x x x Ingenias [17] x x x x x Repast [19] x x x x Madkit [20] x x Netlogo [21] x x x Simpack [22] Starlogo [23] x x x x Framework de SySAge x x x x x x x x…”

Section: Ingeniasmentioning

confidence: 99%

Framework proposal for adaptive mobile intelligent agents

2021

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Intelligent agents are computational entities which have elements that provide them with the ability to perceive and manipulate their environment: sensors and actuators. These are characterized by displaying various properties that adapt and achieve their objectives. Autonomy, learning, collaboration and reasoning are examples of these properties which together make them intelligent artificial entities. This article shows the development of a framework that has made it possible to speed-up the construction of a system of adaptive mobile intelligent agents, called SySAge. The system agents have integrated search and learning techniques for the execution of automated processes focused on solving search, classification and optimization problems. It has been found that through learning, the agents were able to estimate input parameters and apply them in estimating the shortest route in a graph, considering cost and penalty aspects. To determine the choice of search technique, a probabilistic selection was used. The autonomous behavior of each agent was appreciated through the various attempts to solve the search problem and not to focus the information acquired individually on a single agent.

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Open ended intelligence: the individuation of intelligent agents

Cited by 22 publications

References 19 publications

Bringing Forth Within: Enhabiting at the Intersection Between Enaction and Ecological Psychology

Bringing Forth Within: Enhabiting at the Intersection Between Enaction and Ecological Psychology

Autopoiesis and Its Efficacy—A Metacybernetic View

Framework proposal for adaptive mobile intelligent agents

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