Who Wants to Grant Robots Rights?

The robot rights debate has thus far proceeded without any reliable data concerning the public opinion about robots and the rights they should have. We have administered an online survey (n = 439) that investigates layman’s attitudes toward granting particular rights to robots. Furthermore, we have asked them the reasons for their willingness to grant them those rights. Finally, we have administered general perceptions of robots regarding appearance, capacities, and traits. Results show that rights can be divided in sociopolitical and robot dimensions. Reasons can be distinguished along cognition and compassion dimensions. People generally have a positive view about robot interaction capacities. We found that people are more willing to grant basic robot rights such as access to energy and the right to update to robots than sociopolitical rights such as voting rights and the right to own property. Attitudes toward granting rights to robots depend on the cognitive and affective capacities people believe robots possess or will possess in the future. Our results suggest that the robot rights debate stands to benefit greatly from a common understanding of the capacity potentials of future robots

Análisis de un canal de YouTube : el caso de la youtuber Zoella

Zoe Sugg, coneguda a internet com Zoella, té més d'11 milions de seguidors al seu canal de YouTube. És una de les youtubers britàniques més conegudes mundialment i la seva influència li ha fet batre rècords a diferents àmbits comunicatius, superant a molts famosos de la comunicació tradicional. En aquest treball es pretén analitzar el potencial d'aquesta xarxa social i les causes de l'èxit en línia, a través de l'estudi de la metodologia i el contingut del canal de Zoe. YouTube ha canviat la manera de consumir material audiovisual i ha permès a molts usuaris com Zoella guanyar diners i triomfar sense haver de sortir de la seva habitació.Zoe Sugg, conocida en Internet como Zoella, tiene más de 11 millones de seguidores en su canal de YouTube. Es una de las youtubers británicas más conocidas mundialmente y su influencia le ha hecho batir récords en diferentes ámbitos comunicativos, superando a celebrities de la comunicación tradicional. En este trabajo se pretende analizar el potencial de esta red social y las causas del éxito en línea, a través del estudio de la metodología y el contenido del canal de Zoe. YouTube ha cambiado la forma de consumir material audiovisual y ha permitido a muchos usuarios, como Zoella, ganar dinero y triunfar sin tener que salir de su habitación.Zoe Sugg, known on the internet as Zoella, has more than 11 million followers on her YouTube channel. She is one of the best known British youtubers in the world and her influence has made her break records in different communicative fields, beating celebrities of traditional communication. This paper aims to analyse the potential of this social network and the causes of success online, through the study of the methodology and content of Zoe's channel. YouTube has changed the way audiovisual material is viewed and has allowed many users, like Zoella, to make money and succeed without having to leave their room

Acceptance conditions in automated negotiation

In every negotiation with a deadline, one of the negotiating parties has to accept an offer to avoid a break off. A break off is usually an undesirable outcome for both parties, therefore it is important that a negotiator employs a proficient mechanism to decide under which conditions to accept. When designing such conditions one is faced with the acceptance dilemma: accepting the current offer may be suboptimal, as better offers may still be presented. On the other hand, accepting too late may prevent an agreement from being reached, resulting in a break off with no gain for either party. Motivated by the challenges of bilateral negotiations between automated agents and by the results and insights of the automated negotiating agents competition (ANAC), we classify and compare state-of-the-art generic acceptance conditions. We focus on decoupled acceptance conditions, i.e. conditions that do not depend on the bidding strategy that is used. We performed extensive experiments to compare the performance of acceptance conditions in combination with a broad range of bidding strategies and negotiation domains. Furthermore we propose new acceptance conditions and we demonstrate that they outperform the other conditions that we study. In particular, it is shown that they outperform the standard acceptance condition of comparing the current offer with the offer the agent is ready to send out. We also provide insight in to why some conditions work better than others and investigate correlations between the properties of the negotiation environment and the efficacy of acceptance condition

Using Agent JPF to Build Models for Other Model Checkers

Abstract. We describe an extension to the AJPF agent program modelchecker so that it may be used to generate models for input into other, non-agent, model-checkers. We motivate this adaptation, arguing that it improves the efficiency of the model-checking process and provides access to richer property specification languages. We illustrate the approach by describing the export of AJPF program models to Spin and Prism. In the case of Spin we also investigate, experimentally, the effect the process has on the overall efficiency of modelchecking.

Externalisation and Internalization: A New Perspective on Agent Modularisation in Multi-Agent System Programming

Abstract—Agent modularisation is a main issue in agent and multi-agent system programming. Existing solutions typically propose some kinds of constructs – such as capabilities – to group and encapsulate in well-defined modules inside the agent different kinds of agent features, that depend on the architecture or model adopted—examples are goals, beliefs, intentions, skills. In this paper we introduce a further perspective, which can be considered complimentary to existing approaches, which accounts for externalizing some of such functionalities into the computational environment where agents are (logically) situated. In this perspective, agent modules are realised as suitably designed artifacts that agents can dynamically exploit as external tools to enhance their action repertoire and – more generally – their capability to execute tasks. Then, to let agent (and agent programmers) exploit such capabilities abstracting from the low-level mechanics of artifact management and use, we exploit the dual notion of internalization, which consists in dynamically consulting and automatically embedding high-level usage protocols described in artifact manuals as agent plans. The idea is discussed providing some practical examples of use, based on CArtAgO as technology for programming artifacts and Jason agent platform to program the agents. I

Evaluating practical negotiating agents: Results and analysis of the 2011 international competition

This paper presents an in-depth analysis and the key insights gained from the Second International Automated Negotiating Agents Competition (ANAC 2011). ANAC is an international competition that challenges researchers to develop successful automated negotiation agents for scenarios where there is no information about the strategies and preferences of the opponents. The key objectives of this competition are to advance the state-of-the-art in the area of practical bilateral multi-issue negotiations, and to encourage the design of agents that are able to operate effectively across a variety of scenarios. Eighteen teams from seven different institutes competed. This paper describes these agents, the setup of the tournament, including the negotiation scenarios used, and the results of both the qualifying and final rounds of the tournament. We then go on to analyse the different strategies and techniques employed by the participants using two methods: (i) we classify the agents with respect to their concession behaviour against a set of standard benchmark strategies and (ii) we employ empirical game theory (EGT) to investigate the robustness of the strategies. Our analysis of the competition results allows us to highlight several interesting insights for the broader automated negotiation community. In particular, we show that the most adaptive negotiation strategies, while robu

A Research Agenda for Hybrid Intelligence:Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence

We define hybrid intelligence (HI) as the combination of human and machine intelligence, augmenting human intellect and capabilities instead of replacing them and achieving goals that were unreachable by either humans or machines. HI is an important new research focus for artificial intelligence, and we set a research agenda for HI by formulating four challenges

Удвоение памяти для набора программ в ЭВМ "Проминь"

In previous work, we proposed a modal fragment of the sit-uation calculus called ES, which fully captures Reiter’s ba-sic action theories. ES also has epistemic features, includ-ing only-knowing, which refers to all that an agent knows in the sense of having a knowledge base. While our model of only-knowing has appealing properties in the static case, it appears to be problematic when actions come into play. First of all, its utility seems to be restricted to an agent’s initial knowledge base. Second, while it has been shown that only-knowing correctly captures default inferences, this was only in the static case, and undesirable properties appear to arise in the presence of actions. In this paper, we remedy both of these shortcomings and propose a new dynamic semantics of only-knowing, which is closely related to Lin and Reiter’s notion of progression when actions are performed and where defaults behave properly