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Dynamic Adjustment of the Motivation Degree in an Action Selection Mechanism [article]

Carlos Gershenson, Pedro Pablo Gonzalez
2002 arXiv   pre-print
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

David Vernon, Giorgio Metta, Giulio Sandini
2007 2007 IEEE 6th International Conference on Development and Learning  
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]

Luís Morgado, Graça Gaspar
2007 Lecture Notes in Computer Science  
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

Oliver Handel
2016 Systems  
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]

Henry Hexmoor
2001 Lecture Notes in Computer Science  
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

Luís Morgado, Graça Gaspar
2005 Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems - AAMAS '05  
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

Carlos Dominguez, Houcine Hassan, Alfons Crespo
2006 2006 World Automation Congress  
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]

Janusz A. Starzyk, James Graham, Leszek Puzio
2013 IFIP Advances in Information and Communication Technology  
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]

Joseph Shaheen
2021 figshare.com  
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]

Joseph A.E. Shaheen
2018 arXiv   pre-print
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]

Orlando Avila-García, Lola Cañamero
2002 Lecture Notes in Computer Science  
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

M. Grismajer, G. Seliger
2012 Procedia CIRP  
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

Erol Akçay, Jeremy Van Cleve, Marcus W. Feldman, Joan Roughgarden
2009 Proceedings of the National Academy of Sciences of the United States of America  
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

W. R. Miles
1920 Journal of Abnormal Psychology  
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

Linlin Tian, Mingchu Li, Weifeng Sun, Xiaowei Zhao, Baohui Wang, Jianhua Ma
2012 2012 IEEE 11th International Conference on Trust, Security and Privacy in Computing and Communications  
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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