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'I, Max' - Communicating with an Artificial Agent [chapter]

Ipke Wachsmuth
Modeling Communication with Robots and Virtual Humans  
Taking the example of 'Max', a humanoid agent embodied in virtual reality, this contribution examines under which circumstances an artificial agent could be said to have intentional states and perceive  ...  We shall discuss how Max could be equipped with the capacity to differentiate between his own and a partner's mental states and under which conditions Max could reasonably speak of himself as 'I'.  ...  This paper is a slightly polished version of an article originally published in German [28] .  ... 
doi:10.1007/978-3-540-79037-2_15 dblp:conf/zif/Wachsmuth06 fatcat:hywsp3rhhvdsbkbqb3yc2lgyei

No 'new spirit'? Max Weber's account of the dynamic of contemporary capitalism through 'pure adaptation' and the shaping of adequate subjects

I. Darmon
2011 Max Weber Studies  
© Max Weber Studies 2011.  ...  logics of the depersonalised orders, showed that these orders do not produce mere rational agents but rather shape human beings with substantive orientations, affects and attachments besides their rational  ... 
doi:10.15543/mws/2011/2/3 fatcat:gxyo3hy4cff5zh36jqgvo37myq


Max I. Miller, Paul H. Lorhan
1955 Anesthesiology  
Table 1 76 Max I. Murer anv Pavut H.  ...  This mortality The estimated 78 Max I. Miutier anp Paut H. Lorgan tion time occurs, together with a fall in venous pressure.  ... 
doi:10.1097/00000542-195501000-00009 fatcat:f7wdl6njtvcqxeovzbqeob7ioq

Should I Follow AI-based Advice? Measuring Appropriate Reliance in Human-AI Decision-Making [article]

Max Schemmer, Patrick Hemmer, Niklas Kühl, Carina Benz, Gerhard Satzger
2022 arXiv   pre-print
Whereas in the past, advice has often been received from human experts, friends, or family, advisors based on artificial intelligence (AI) have become more and more present nowadays.  ...  Many important decisions in daily life are made with the help of advisors, e.g., decisions about medical treatments or financial investments.  ...  [20, 21] provide the research community with a data set of 400 deceptive and 400 genuine hotel reviews.  ... 
arXiv:2204.06916v1 fatcat:fd3ykkm55vavblvftumtzx2ooi

Scrutinizing MHC-I Binding Peptides and Their Limits of Variation

Christian P. Koch, Anna M. Perna, Max Pillong, Nickolay K. Todoroff, Paul Wrede, Gerd Folkers, Jan A. Hiss, Gisbert Schneider, James M. Briggs
2013 PLoS Computational Biology  
The results demonstrate that only fragments exclusively retaining the carboxy-or aminoterminus of the reference peptide exhibit significant binding potential, with the N-terminal pentapeptide SIINF as  ...  Designed peptides that bind to major histocompatibility protein I (MHC-I) allomorphs bear the promise of representing epitopes that stimulate a desired immune response.  ...  In fact, recent comparison of publicly available prediction tools and community benchmark studies revealed machine-learning models as state-ofthe-art for MHC-I and MHC-II prediction, outperforming motifand  ... 
doi:10.1371/journal.pcbi.1003088 pmid:23754940 pmcid:PMC3674988 fatcat:6ma5ws2flzgnnbst62pi5vda3a

Crystallization and preliminary X-ray characterization of theBacillus amyloliquefaciensYwrO enzyme

Majed M. AbuKhader, John Heap, Cristina I. De Matteis, Stephen W. Doughty, Nigel Minton, Max Paoli
2007 Acta Crystallographica. Section F : Structural Biology and Crystallization Communications  
CB1954 is an anticancer prodrug that is currently in clinical trials coupled with the Escherichia coli flavoenzyme nitroreductase (NTR) for use in directedenzyme prodrug therapy (DEPT).  ...  The NTR enzyme is responsible for the conversion of the prodrug into a cytotoxic agent.  ...  The best condition, which gave crystals of high diffraction quality (crystal form 1) with † R sym = P h P i jI h;i À hI h ij= P h P i jI h;i j, where the outer summation is overall unique reflections  ... 
doi:10.1107/s1744309107035816 pmid:17768344 pmcid:PMC2376317 fatcat:qizhjd7r2vdzffx734cmrlle3y

From dirt to industrial applications: Pseudomonas putida as a Synthetic Biology chassis for hosting harsh biochemical reactions

Pablo I Nikel, Max Chavarría, Antoine Danchin, Víctor de Lorenzo
2016 Current Opinion in Chemical Biology  
3 The soil bacterium Pseudomonas putida is endowed with a central carbon metabolic network capable 4 of fulfilling high demands of reducing power.  ...  Finally, novel developments and open questions in the 10 continuous quest for an optimal microbial cell factory are presented at the light of current and future 11 needs in the area of biocatalysis. 12  ...  These artificially-designed spatial arrangements can be considered an integral part of the 17 design of the ultimate physical SynBio chassis for biocatalysis[95]. 18 19 SynBio has enriched the field of  ... 
doi:10.1016/j.cbpa.2016.05.011 pmid:27239751 fatcat:xe4wmrkxsbenhjkxqia6okhoiy

Embodied Cooperative Systems: From Tool to Partnership [chapter]

Ipke Wachsmuth
2015 Collective Agency and Cooperation in Natural and Artificial Systems  
This chapter will outline these ideas taking the virtual humanoid agent "Max" as an example.  ...  In the context of cooperative settings, the view that humans are users of a certain "tool" has shifted to that of a "partnership" with artificial agents, insofar they can be considered as being able to  ...  Thanks also to Catrin Misselhorn and an anonymous referee for helpful comments to improve the text. Over many years this research has been  ... 
doi:10.1007/978-3-319-15515-9_4 fatcat:zuzz4ecsvbgvrftkoevqhrbamm

Information Entropy-Based Metrics for Measuring Emergences in Artificial Societies

Mingsheng Tang, Xinjun Mao
2014 Entropy  
Usually, artificial societies are used for assisting in resolving several complex social issues (e.g., emergency management, intelligent transportation system) with the aid of computer science.  ...  Meanwhile, the correctness of these metrics has been verified through three case studies (the spread of an infectious influenza, a dynamic microblog network, and a flock of birds) with several experimental  ...  It is well known, however, that an artificial society is different from a communication system. A communication system is considered as a whole, but an artificial society comprises multiple agents.  ... 
doi:10.3390/e16084583 fatcat:bugpsj2cdndy5lvhv7tzckbi3i

Network topology and self-consistency in language games

Bernat Corominas, Ricard V. Solé
2006 Journal of Theoretical Biology  
The authors thank the members of the Complex Systems Lab and an anonymous referee for useful comments.  ...  This work has been supported by grants FIS2004-0542, IST-FET ECAGENTS project of the European Community founded under EU R&D contract 011940 and by the Santa Fe Institute.  ...  For our set of agents fS i g ði ¼ 1; . . . ; N) (natural or artificial) we have, for each agent S i , two matrices P i ¼ ðP i kl Þ and Q i ¼ ðQ i kl Þ.  ... 
doi:10.1016/j.jtbi.2005.11.025 pmid:16387329 fatcat:vco6fwwl2zcmjckubk2bgfbaum

Decentralization and heterogeneity in complex adaptive systems

Diego Gonzalez-Rodriguez, Jose Rodolfo Hernandez-Carrion, Dr Raul Espejo
2015 Kybernetes  
The paper aims to discuss these issues.Inspired by bacterial conjugation, the authors have defined an artificial society in which agents' strategies adapt to changes in resources location, allowing migration  ...  , optimal results emerge by incrementing heterogeneity levels and decentralization of communication structures, leading to a global adaptation of the system.  ...  We will take the second option by default in our experiments. i i Each agent has a genome with a segment containing one coded strategy (SGA i , SGB i , SGC i , SGD i , SGE i , SGF, SGG i ,SGH, SGI i ,  ... 
doi:10.1108/k-01-2015-0030 fatcat:gnvzwvsazjbjddjxv4qlmepvbe

On the Spontaneous Emergence of Discrete and Compositional Signals [article]

Nur Geffen Lan, Emmanuel Chemla, Shane Steinert-Threlkeld
2020 arXiv   pre-print
We propose a general framework to study language emergence through signaling games with neural agents.  ...  Using a continuous latent space, we are able to (i) train using backpropagation, (ii) show that discrete messages nonetheless naturally emerge.  ...  To abstract away from this issue, we train a 'composition network' (an MLP with 2 hidden layers of 64 ReLU units) on the task of predicting M(c, arg max i ) from M(c, arg max j ), M(c, arg min j ) and  ... 
arXiv:2005.00110v1 fatcat:hfsxtpjfn5a4zhr26nmeol4dsm

A Multi-Agent System-Based Approach for Optimal Operation of Building Microgrids with Rooftop Greenhouse

Il-Seok Choi, Akhtar Hussain, Van-Hai Bui, Hak-Man Kim
2018 Energies  
In this paper, an optimal energy management scheme for building microgrids with rooftop greenhouse is proposed.  ...  The MAS comprises of several inner-level, intermediate level, and upper-level agents, which are responsible for their respective tasks.  ...  The HA in each household is an active agent that uses the information of its inner-level agents to make decisions and communicates with the BEMS agents.  ... 
doi:10.3390/en11071876 fatcat:2yk3qq5jbvadtiqvz4poe4wwnq

Towards Energy-Efficient Communication Management in the Distributed Control of Networked Cyber-Physical Systems [article]

Yongcan Cao, Eduardo Pasiliao
2016 arXiv   pre-print
with a new bounded control algorithm.  ...  We apply the new network topology control technique, based on variable communication ranges, in a well-studied consensus problem, where the communication range for each agent is designed locally along  ...  Let the communication range for an agent, labeled as i, be given by d i [k] at the time step k.  ... 
arXiv:1609.03657v1 fatcat:yelq6sdbwbcytp7tjzguohvifi

An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning

Hongyao Tang, Jianye Hao, Li Wang, Tim Baarslag, Zan Wang
In this paper, we consider the multiagent social learning in a dynamic environment in which agents can alter their connections and interact with randomly chosen neighbors with unknown utilities beforehand  ...  We propose an optimal rewiring strategy to select most beneficial peers to maximize the accumulated payoffs in long-run interactions.  ...  i interacting with j according to an known or unknown payoff matrix G v j i = max m ∈A i p j i (m)u m + 1 − p j i (m) α, (1) x j i = max m ∈A i p j i (m)x m + 1 − p j i (m) α . (2) Agent j's policy p  ... 
doi:10.1609/aaai.v33i01.330110049 fatcat:m6dxpv35yngrpmvz4xmx2dgqwy
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