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Dynamic Adjustment of the Motivation Degree in an Action Selection Mechanism
[article]
2002
arXiv
pre-print
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This paper presents a model for dynamic adjustment of the motivation degree, using a reinforcement learning approach, in an action selection mechanism previously developed by the authors. ...
Experiments that show the claimed properties are presented, using a VR simulation developed for such purposes. The importance of adaptation by learning in action selection is also discussed. ...
In section 5 we present and discuss the learning process by which the motivation degree in the action selection can be adjusted dynamically. ...
arXiv:cs/0211038v1
fatcat:gajx6kbskbejdpqttyyddamobm
The iCub cognitive architecture: Interactive development in a humanoid robot
2007
2007 IEEE 6th International Conference on Development and Learning
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This paper describes the design of a cognitive architecture for the iCub : an open-systems 53 degree-offreedom cognitive humanoid robot. ...
The architecture also include a prospective ability whereby sensorimotor behaviours can be simulated and then used to influence the action selection in the basal ganglia. ...
ACKNOWLEDGEMENTS The content of this paper represents the work of many people. These include: Paul ...
doi:10.1109/devlrn.2007.4354038
fatcat:qdsw5kwhtvgsflloowtdemnlmi
Abstraction Level Regulation of Cognitive Processing Through Emotion-Based Attention Mechanisms
[chapter]
2007
Lecture Notes in Computer Science
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attention mechanisms, thus allowing a dynamical adjustment of the resources used. ...
In this paper we concretize this view by extending emotionbased regulation of cognitive activity to enable an active control of the abstraction level at which cognitive processes operate through emotion-based ...
In the case of ATF-A agent, in the medium range of dynamism, particularly after γ 1 , the influence of ω' φ over the abstraction level dominates that of ε', leading to an increase in the average action ...
doi:10.1007/978-3-540-77343-6_4
fatcat:jzekgtptazexpntkku433mvfoa
Modeling Dynamic Decision-Making of Virtual Humans
2016
Systems
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The novelty is to use System Dynamics, in general defined as a top-down simulation approach, from the bottom-up inside each instance of the agent population and to implement an action selection mechanism ...
This approach enables us to model the dynamic decision-making of the virtual humans with stocks and flows resulting in nonlinear motivation evolution. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/systems4010004
fatcat:3t4re6ad6zdgdbukr4icbrdqpq
A Cognitive Model of Situated Autonomy
[chapter]
2001
Lecture Notes in Computer Science
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We introduce situated autonomy and present it as part of the process of action selection. We then discuss the cognitive ingredients of situated autonomy and derive a degree of situated autonomy. ...
1 Assessment of autonomy is either a deliberative process or an automatic association of a stance that might be a historic stance or based on the agent's personality. ...
In our discussion of situated autonomy we will not care whether the goals are internally generated or externally imposed. Action selection generates an action in response to a new situation. ...
doi:10.1007/3-540-45408-x_33
fatcat:ndya6n3darf2vbhfswlem6y2ba
Emotion based adaptive reasoning for resource bounded agents
2005
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems - AAMAS '05
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These mechanisms produce an attention field that constrains the input to reasoning processes and also regulate the activation period of those processes. ...
In the design of resource bounded agents, high-level cognitive activities, such as reasoning, raise important problems related both to the adaptive ability and to the computational complexity of the underlying ...
This means that the agent must continuously adjust its behavior in order to succeed in the achievement of its motivators, especially in uncertain and dynamic environments. ...
doi:10.1145/1082473.1082613
dblp:conf/atal/MorgadoG05
fatcat:a2ymq7utjzfvficipjy2wz7pya
Emotional Sensibility and Behavioural Control of Real-Time Robotic Agents
2006
2006 World Automation Congress
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Emotions in RTEA modulate the thoughts' motivation that affect the final agent's behaviour. An emotional state is reached from the appraisal of a situation of the environment. ...
This paper focuses in the adjustment of the sensibility of the agent. A key point in the process of situation appraisal is the configuration of the contribution functions (CF). ...
ACKNOWLEDGEMENTS This work has been partially funded by the Spanish Generalitat Valenciana Government under grant GV04B/431. ...
doi:10.1109/wac.2006.375992
fatcat:h2gm7aaembd7lltxolzvn6stmq
Simulation of a Motivated Learning Agent
[chapter]
2013
IFIP Advances in Information and Communication Technology
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The purpose of this work is to explore autonomous development of motivations and memory in agents within a simulated environment. ...
In this paper we present our work directed at building a simple motivated learning agent with symbolic I/O. To do this we created a simulation environment within the NeoAxis game engine. ...
In ML, abstract pain centers are created through the goal creation mechanism [14, 18] and are activated via an interpretation of sensory inputs. ...
doi:10.1007/978-3-642-41142-7_21
fatcat:xc7cdlg5wrdahe7lusmo23nkoa
Challenges of Growing Social Media Networks From the Bottom-up Through the Agent Perspective
[article]
2021
figshare.com
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We produced an approximate network in line with the generalproperties of our collected data. We present our findings with a focus on the challenging aspects of thisreproduction. ...
We develop an agent-based model in order to understand agent/node behaviors that generate social medianetworks. ...
The mechanism is illustrated in algorithm 3. for randomnode in network AND actions ! ...
doi:10.6084/m9.figshare.14109722.v1
fatcat:wg6wdnh2l5e5pkhhxvlrssh3pq
Challenges of Growing Social Media Networks From the Bottom-Up Through the Agent Perspective
[article]
2018
arXiv
pre-print
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We produced an approximate network in line with the general properties of our collected data. We present our findings with a focus on the challenging aspects of this reproduction. ...
We develop an agent-based model in order to understand agent/node behaviors that generate social media networks. ...
The mechanism is illustrated in algorithm 3. for randomnode in network AND actions ! ...
arXiv:1802.08425v1
fatcat:sjp7i23kx5cg7of3e372alesfi
Comparing a Voting-Based Policy with Winner-Takes-All to Perform Action Selection in Motivational Agents
[chapter]
2002
Lecture Notes in Computer Science
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We present an experimental comparison of two action selection mechanisms (ASM), implementing "winner-takes-all" (WTA) and "votingbased" (VB) policies respectively, modeled using a motivational behavior-based ...
One of the problems that this implies is action selection, the task of resolving conflicts between competing behavioral alternatives. ...
Orlando Avila-García is supported by the University of Hertfordshire through an EPSRC scholarship. ...
doi:10.1007/3-540-36131-6_87
fatcat:wgko4bdmlbdz5fzsy37edph2m4
Information Requirements for Motivated Alignment of Manufacturing Operations to Energy Availability
2012
Procedia CIRP
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This work presents information requirements for increasing this motivation with the example of electricity. ...
Today there often is a lack of motivation for energy related organisational changes, especially in sensitive manufacturing systems. ...
Related to demand side actions Capgemini shows the role of energy providers' marketing in creating an appropriate psychological environment with the example of private customers. ...
doi:10.1016/j.procir.2012.07.072
fatcat:srm62edoprb73jnslfi5ilobgu
A theory for the evolution of other-regard integrating proximate and ultimate perspectives
2009
Proceedings of the National Academy of Sciences of the United States of America
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In the dynamical behavioral model below, the actions can be thought of as the rates at which individuals exchange donations. ...
In contrast to previous theories, we find that such motivations can evolve because of their direct effect on fitness and do not require kin selection or a special group structure. ...
J.V. was supported by National Library of Medicine Training Grant LM-07033. This research was supported in part by National Institutes of Health grant GM-28016 (to M.W.F.). ...
doi:10.1073/pnas.0904357106
pmid:19858492
pmcid:PMC2776409
fatcat:6t7opflbybgopnc3qknkr4psyy
Review of Dynamic psychology
1920
Journal of Abnormal Psychology
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The feeble minded are not onlylacking in drive but also in mechanism, and since these are not fundamentally different, if they can be taught mechanism, they will thus be provided with motivation. ...
Experience includes behavior and consciousness-behavior being the action of the creature upon his environment, and consciousness an effect of environment on the creature." ...
doi:10.1037/h0069506
fatcat:loaaehzchngetgzr3yyogzveui
Evolution of Cooperation Based on Reputation on Dynamical Networks
2012
2012 IEEE 11th International Conference on Trust, Security and Privacy in Computing and Communications
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Cooperation within selfish individuals can be promoted by natural selection only in the presence of an additional mechanism. ...
In this paper, we focus on an indirect reciprocity mechanism in dynamical structured populations. ...
The incentive mechanism in dynamic social networks can accelerate the evolution of cooperation. ...
doi:10.1109/trustcom.2012.156
dblp:conf/trustcom/TianLSZWM12
fatcat:dzzvlrhlmbf4xgmxicaygceccm
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