9 results match your criteria Adaptive Behavior[Journal]

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A tale of two densities: active inference is enactive inference.

Adapt Behav 2020 Aug 21;28(4):225-239. Epub 2019 Jul 21.

Wellcome Centre for Human Neuroimaging, University College London, London, UK.

The aim of this article is to clarify how best to interpret some of the central constructs that underwrite the free-energy principle (FEP) - and its corollary, active inference - in theoretical neuroscience and biology: namely, the role that generative models and variational densities play in this theory. We argue that these constructs have been systematically misrepresented in the literature, because of the conflation between the FEP and active inference, on the one hand, and distinct (albeit closely related) Bayesian formulations, centred on the brain - variously known as predictive processing, predictive coding or the prediction error minimisation framework. More specifically, we examine two contrasting interpretations of these models: a structural representationalist interpretation and an enactive interpretation. Read More

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Reconceiving representation-hungry cognition: an ecological-enactive proposal.

Adapt Behav 2018 Aug 23;26(4):147-163. Epub 2018 May 23.

University of Amsterdam, Amsterdam, The Netherlands.

Enactive approaches to cognitive science aim to explain human cognitive processes across the board without making any appeal to internal, content-carrying representational states. A challenge to such a research programme in cognitive science that immediately arises is how to explain cognition in so-called 'representation-hungry' domains. Examples of representation-hungry domains include imagination, memory, planning and language use in which the agent is engaged in thinking about something that may be absent, possible or abstract. Read More

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Adaptive behaviors in multi-agent source localization using passive sensing.

Adapt Behav 2016 Dec 5;24(6):446-463. Epub 2016 Sep 5.

Acoustics Research Laboratory, Tropical Marine Sciences Institute, Singapore.

In this paper, the role of adaptive group cohesion in a cooperative multi-agent source localization problem is investigated. A distributed source localization algorithm is presented for a homogeneous team of simple agents. An agent uses a single sensor to sense the gradient and two sensors to sense its neighbors. Read More

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December 2016

Hedonic quality or reward? A study of basic pleasure in homeostasis and decision making of a motivated autonomous robot.

Adapt Behav 2016 Oct 12;24(5):267-291. Epub 2016 Oct 12.

Embodied Emotion, Cognition and (Inter-)Action Lab, School of Computer Science, University of Hertfordshire, UK.

We present a robot architecture and experiments to investigate some of the roles that pleasure plays in the decision making (action selection) process of an autonomous robot that must survive in its environment. We have conducted three sets of experiments to assess the effect of different types of pleasure-related versus unrelated to the satisfaction of physiological needs-under different environmental circumstances. Our results indicate that pleasure, including pleasure unrelated to need satisfaction, has value for homeostatic management in terms of improved viability and increased flexibility in adaptive behavior. Read More

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October 2016

Developing crossmodal expression recognition based on a deep neural model.

Adapt Behav 2016 Oct 10;24(5):373-396. Epub 2016 Oct 10.

Department of Informatics, University of Hamburg, Germany.

A robot capable of understanding emotion expressions can increase its own capability of solving problems by using emotion expressions as part of its own decision-making, in a similar way to humans. Evidence shows that the perception of human interaction starts with an innate perception mechanism, where the interaction between different entities is perceived and categorized into two very clear directions: positive or negative. While the person is developing during childhood, the perception evolves and is shaped based on the observation of human interaction, creating the capability to learn different categories of expressions. Read More

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October 2016

A model of multi-agent consensus for vague and uncertain beliefs.

Adapt Behav 2016 Aug 26;24(4):249-260. Epub 2016 Jul 26.

Department of Engineering Mathematics, University of Bristol, UK.

Consensus formation is investigated for multi-agent systems in which agents' beliefs are both vague and uncertain. Vagueness is represented by a third truth state meaning . This is combined with a probabilistic model of uncertainty. Read More

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Outcome probability modulates anticipatory behavior to signals that are equally reliable.

Adapt Behav 2014 Jun;22(3):207-216

University College London, UK.

A stimulus is a reliable signal of an outcome when the probability that the outcome occurs in its presence is different from in its absence. Reliable signals of important outcomes are responsible for triggering critical anticipatory or preparatory behavior, which is any form of behavior that prepares the organism to receive a biologically significant event. Previous research has shown that humans and other animals prepare more for outcomes that occur in the presence of highly reliable (i. Read More

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Development and evaluation of an agent-based model of sexual partnership.

Adapt Behav 2011 Dec 15;19(6):425-450. Epub 2011 Nov 15.

University of Michigan School of Public Health, Department of Health Behavior and Health Education.

The agent-based model presented here builds on existing models, allowing for multiple partnerships, including those overlapping in time, to examine sexual partnerships, with the goal of hypothesis testing and guiding data collection. Within each model run, agents are assigned characteristics (including quality, aspiration, courtship duration, and ideal number of lifetime partners) and then search for partners; existing couples choose whether they should break up, remain dating, or become sexual partners. Model behavior was tested across a wide range of parameters and compared with empirical data. Read More

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December 2011

The Iterated Classification Game: A New Model of the Cultural Transmission of Language.

Adapt Behav 2009 ;17(3):213-235

Virginia Bioinformatics Institute, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061,

The Iterated Classification Game (ICG) combines the Classification Game with the Iterated Learning Model (ILM) to create a more realistic model of the cultural transmission of language through generations. It includes both learning from parents and learning from peers. Further, it eliminates some of the chief criticisms of the ILM: that it does not study grounded languages, that it does not include peer learning, and that it builds in a bias for compositional languages. Read More

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January 2009
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