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A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning
[article]
2021
arXiv
pre-print
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We present an end-to-end, model-based deep reinforcement learning agent which dynamically attends to relevant parts of its state during planning. ...
The agent uses a bottleneck mechanism over a set-based representation to force the number of entities to which the agent attends at each planning step to be small. ...
well as about the writing of the introduction section), Min Lin (about the design of the dynamics model as well as the early stage brainstorming) and Ian Porada (for consistently supporting the student ...
arXiv:2106.02097v3
fatcat:e3deycfd6zbvnprwzj5dotwige
A computational model of attentional learning in a cognitive agent
2012
Biologically Inspired Cognitive Architectures
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In this paper, we describe conceptual and computational model of attention and attentional learning for intelligent software agents in the context of the broad-based biologically inspired cognitive architecture ...
A basic implementation of such an attentional learning mechanism in a LIDA-based agent is presented. ...
ACKNOWLEDGMENT We would like to thank the FQRNT for its financial support and all the members of CCRG lab who have contributed to the development of the LIDA's computational model. ...
doi:10.1016/j.bica.2012.07.003
fatcat:ixthr4z2trfphecyk6urkf3f5y
Artificial Motivation for Cognitive Software Agents
2020
Journal of Artificial General Intelligence
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Natural selection has imbued biological agents with motivations moving them to act for survival and reproduction, as well as to learn so as to support both. ...
Here we present a biologically inspired motivation system, based on feelings (including emotions) integrated within the LIDA cognitive architecture at a fundamental level. ...
learning, and model-free and model-based learning. ...
doi:10.2478/jagi-2020-0002
fatcat:szpacc3cyzcwximrx7ubqcodo4
Planning with Brain-inspired AI
[article]
2020
arXiv
pre-print
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It aims to present existing planning models as references for realizing the planning function in brain-inspired AI or artificial general intelligence (AGI). ...
This article surveys engineering and neuroscientific models of planning as a cognitive function, which is regarded as a typical function of fluid intelligence in the discussion of general intelligence. ...
Model-based reinforcement learning uses a model for estimating the environment. In particular, an RL system that uses a model at the time of action can perform planning as defined in this article. ...
arXiv:2003.12353v1
fatcat:rpevcadswjgldjk4jvfygbzkru
Global Workspace Theory, its LIDA model and the underlying neuroscience
2012
Biologically Inspired Cognitive Architectures
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A biologically inspired cognitive architecture must draw its insights from what is known from animal (including human) cognition. ...
Here we argue that the LIDA architecture's breadth, flexible motivations using feelings, explicit attention mechanism, and continual, incremental and online learning in several modalities provide a significant ...
A LIDA--based agent attends to what is currently most salient based on its situational awareness; 12) Can reinforcement learning and motivation modulate perceptual and cognitive decision--making? ...
doi:10.1016/j.bica.2012.04.001
fatcat:jopew7bvlvehflux4cjc72uyxm
A COGNITIVE ARCHITECTURE WITH INCREMENTAL LEVELS OF MACHINE CONSCIOUSNESS INSPIRED BY COGNITIVE NEUROSCIENCE
2012
International Journal of Machine Consciousness
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The main motivation for this work is to investigate the advantages given by machine consciousness, while in the control of software agents. ...
A completely codelet-based system "Core" has been implemented, serving the whole architecture. * Preprint ...
Acknowledgments We would like to thank CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico) and CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior) for the financial support ...
doi:10.1142/s1793843012400197
fatcat:mn3sse4prvgjblkgi35bvbrugy
MIRA: A Computational Neuro-Based Cognitive Architecture Applied to Movie Recommender Systems
[article]
2019
arXiv
pre-print
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of LIDA as a path to be followed for the study and generation of computational agents inspired by neural behaviors. ...
Considering that the proposed model achieved a similar behavior to the traditional models under conditions expected to be similar for natural systems, it can be said that MIRA reinforces the applicability ...
of High Level Graduation, Brazil) and FEI (Foundation for Ignatian Education, São Paulo, Brazil) for any direct or indirect support they have given to this research project. ...
arXiv:1902.09291v2
fatcat:of64xmpy45erzph6gbadnbhhoq
Computational Aspects of Cognition and Consciousness in Intelligent Devices
2007
IEEE Computational Intelligence Magazine
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Continuous adaptation and learning is a key component of computationally intelligent devices, which is achieved using dynamic models of cognition and consciousness. ...
, more faithful, Biologically-inspired architectures are widely used for control of mobile robots and demonstrating robust navigation capabilities in challenging real life scenarios. ...
KIV is a biologically based cognitive brain model capable of learning and responding to environmental inputs robustly and creatively, based on its experience. ...
doi:10.1109/mci.2007.385369
fatcat:jnvmwtgnrfcjnclzqaocot54ry
A Biopsychically Inspired Cognitive System for Intelligent Agents in Aerospace Applications
2012
Infotech@Aerospace 2012
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A biopsychically inspired cognitive system is proposed based on the biological Central Nervous System architecture. ...
The proposed cognitive system can be used for intelligent agents for autonomous scientific exploration, as well as in agriculture, rescue and military applications or as a basis for cooperative groups. ...
Jeff Vancouver a professor of Psychology at Ohio University for insightful discussions. ...
doi:10.2514/6.2012-2412
dblp:conf/itaero/XuGBZSZ12
fatcat:72k5y6xhw5g6hgksrhmdjbiei4
Computational Modeling of Prefrontal Cortex for Meta-Cognition of a Humanoid Robot
2020
IEEE Access
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A reinforcement meta-learning based explainable artificial intelligence (xAI) procedure is applied to the working memory regions of the computational prefrontal cortex model. ...
In this study, we present a novel solution that covers a computational model of the prefrontal cortex for humanoid robots. ...
[42] struggled on imitating self-consciousness using brain-inspired modeling for a humanoid robot. ...
doi:10.1109/access.2020.2998396
fatcat:p37fba6frbdbzkbrdepllwauwi
Natural Morphological Computation as Foundation of Learning to Learn in Humans, Other Living Organisms, and Intelligent Machines
2020
Philosophies
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As all natural systems possessing intelligence are cognitive systems, we describe the evolutionary arguments for the necessity of learning to learn for a system to reach human-level intelligence through ...
The question is, what at this stage of the development the inspiration from nature, specifically its computational models such as info-computation through morphological computing, can contribute to machine ...
Acknowledgments: The author would like to thank anonymous reviewers for very helpful, constructive, and instructive review comments. ...
doi:10.3390/philosophies5030017
fatcat:6svndrki2nazbfbo5ayubctwsa
The LIDA Model as a Foundational Architecture for AGI
[chapter]
2012
Atlantis Thinking Machines
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A LIDA-based agent attends to what is most salient based on its situational awareness; 12) Can reinforcement learning and motivation modulate perceptual and cognitive decisionmaking? Yes;
). ...
Episodic learning in the LIDA model is also a matter of generate and test, with such learn- coalition is added to the Global Workspace to compete for consciousness. ...
doi:10.2991/978-94-91216-62-6_7
fatcat:gbqh3sbndfblliqb57fbr7skxe
Implementation of Emotional Learning for Cognitive Tutoring Agents
2008
2008 Seventh Mexican International Conference on Artificial Intelligence
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The model replicates the amygdala's emotional influence over different parts of the system as a means of preparing the system for action, biasing action selection and improving the agent's self-resilience ...
In this paper we describe the reproduction of emotional mechanisms in the cognitive agent CTS (Conscious Tutoring System). ...
Based on Hofstadter et al.'s idea, a codelet is a very simple agent, "a small piece of code that is specialized for some comparatively simple task". ...
doi:10.1109/micai.2008.45
fatcat:kj42bleyjzddnosnlukk2v7ic4
A New Vision About AI and Situation Awareness Model of Auto-driving with Implicit Memory
2018
DEStech Transactions on Computer Science and Engineering
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This paper is enlightenment by implicit memory, situation awareness model of Ensley's and the way a very young child watching, touching and knowing the objects of the world. ...
As to car-driving, an action-taking model based on situation awareness is presented, which shows two main action-taking ways. One is Reaction Chain; the other is Implicit/Action Ring. ...
Reinforcement learning (RL) 6 is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives when interacting with a complex, uncertain environment. ...
doi:10.12783/dtcse/cnai2018/24168
fatcat:jtxrbgsuw5cptafbkrnpehlswa
Metacognition for a Common Model of Cognition
2018
Procedia Computer Science
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This paper provides a starting point for the development of metacognition in a common model of cognition. ...
Finally, we identify pressing design issues for the future. ...
Examples from cognitive neuroscience and cognitive science provide a clearer view of Category 1 metacognition. Arbitration of Model-Free vs Model-Based Reinforcement Learning. ...
doi:10.1016/j.procs.2018.11.046
fatcat:zgtkd3icevdffaet6pvnjdrduu
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