Prediction of intent in robotics and multi-agent systems.

Moving beyond the stimulus contained in observable agent behaviour, i.e. understanding the underlying intent of the observed agent is of immense interest in a variety of domains that involve collaborative and competitive scenarios, for example assistive robotics, computer games, robot-human interaction, decision support and intelligent tutoring. This review paper examines approaches for performing action recognition and prediction of intent from a multi-disciplinary perspective, in both single robot and multi-agent scenarios, and analyses the underlying challenges, focusing mainly on generative approaches

Agents intentionality, capabilities and the performance of Systems of Innovation

We are interested on why and how an economic system evolves and, in particular, on the causes of the differences across systems of innovation (SI). SI’s performance differs substantially because there are specific causes at work, apart from the differences in the underlying technologies, institutions, etc. In particular, we refer to the intentionality of the agents interacting within a system for innovation to find out the relationship between agents’ goals, SI’s performance and its policy implications. The underlying thesis in this paper is that agent intentionality is a necessary condition for a substantive explanation of the dynamism of any socio-economic system. The paper departs from an abstract definition of a system as a set of constitutive elements and the connections among them serving a common purpose. And explores how intentionality shapes the structure, evolution and performance of an SI. In this context an evolutionary efficiency criterion is proposed.systems of innovation; intentionality; evolving capabilities; evolutionary efficiency.

Agents intentionality, capabilities and the performance of systems of innovation

The performances of different Systems of Innovation (SI) vary substantially due to the fact that, apart from the differences in the underlying technologies, institutions, etc., there are specific causes at work. In particular, we refer to the intentionality of the agents interacting within a System of Innovation to find out the relationship between agents’ goals, and the SI’s performance. The underlying thesis is that agent intentionality is a necessary condition for a substantive explanation of the dynamism of any socio-economic system. This paper departs from an abstract definition of a system as a set of constitutive elements and the connections among them serving a common purpose. It also explores how agents’ intentionality and capabilities shape the structure, evolution and performance of an SI. In this context an evolutionary efficiency criterion is proposed.Support from INnoTEC (Project N. SEJ2004-02422 – Ministerio de Educación y Ciencia, Spain), Instituto de Investigaciones Económicas y Sociales ‘Francisco de Vitoria’ and Universidad Autónoma de Madrid

Agents intentionality, capabilities and the performance of systems of innovation

We are interested on why and how an economic system evolves and, in particular, on the causes of the differences across systems of innovation (SI). SI’s performance differs substantially because there are specific causes at work, apart from the differences in the underlying technologies, institutions, etc. In particular, we refer to the intentionality of the agents interacting within a system for innovation to find out the relationship between agents’ goals, SI’s performance and its policy implications. The underlying thesis in this paper is that agent intentionality is a necessary condition for a substantive explanation of the dynamism of any socio-economic system. The paper departs from an abstract definition of a system as a set of constitutive elements and the connections among them serving a common purpose. And explores how intentionality shapes the structure, evolution and performance of an SI. In this context an evolutionary efficiency criterion is proposed

Intentionality and the emergence of complexity: An analytical approach

The final publication is available at Springer via http://dx.doi.org/10.1007/s00191-014-0342-zEmergence is a generic property that makes economies become complex. The simultaneous carrying out of agents’ intentional action plans within an economic system generates processes that are at the base of structural change and the emergence of adaptive complex systems. This paper argues that goals and intentionality are key elements of the structure of rational human action and are the origin of emergent properties such as innovation within economic complex systems. To deal with the locus and role of goals and intentionality in relation to the emergence of complexity we propose an analytical approach based on agents’ action plans. Action plans are open representations of the action projected by agents (as individuals or organizations), where the means (actions) and objectives (or goals) are not necessarily given, but produced by agents themselves

Impact of cultural dynamics on conservation of Suakin, Sudan

The aim of this work was to explore the impact of local cultural dynamics on the conservation of the built heritage of Suakin, an abandoned historic port on the Red Sea coast of Sudan, through a collaborative stakeholder approach. Key representatives of local stakeholder groups attended a two-day workshop and took part in a series of collaborative activities. These encompassed the production of a rank-ordered list of the key local cultural dynamics impacting on the port's conservation, agreement to a number of actions to address obstacles to conservation, identification of local cultural values collectively determined by stakeholder and confirmation of the value of an integrated conservation approach. The workshop enabled a shared understanding and responsibility between stakeholders and established a commitment to further action to address the key local cultural dynamics impacting on the conservation. This collaborative stakeholder participation represented a new step in the port's conservation and invited the development of more formal protocols to enable the equal representation and participation of stakeholders in future conservation activities and initiatives

The Dynamics of Intentions in Collaborative Intentionality

An adequate formulation of collective intentionality is crucial for understanding group activity and for modeling the mental state of participants in such activities. Although work on collective intentionality in philosophy, artificial intelligence, and cognitive science has many points of agreement, several key issues remain under debate. This paper argues that the dynamics of intention – in particular, the inter-related processes of plan-related group decision making and intention updating – play crucial roles in an explanation of collective intentionality. Furthermore, it is in these dynamic aspects that coordinated group activity differs most from individual activity. The paper specifies a model of the dynamics of agent intentions in the context of collaborative activity. Its integrated treatment of group decision making and coordinated updating of group-related intentions fills an important gap in prior accounts of collective intentionality, thus helping to resolve a long-standing debate about the nature of intentions in group activity. The paper also defines an architecture for collaboration-capable computer agents that satisfies the constraints of the model and is a natural extension of the standard architecture for resource-bounded agents operating as individuals. The new architecture is both more principled and more complete than prior architectures for collaborative multi-agent systems.Engineering and Applied Science

GoCo: planning expressive commitment protocols

Acknowledgements We gratefully thank those who shared their code with us. Special thanks to Ugur Kuter. We thank the anonymous reviewers, and also acknowledge with gratitude the reviewers at ProMAS’11, AAMAS’13, AAAI’13, and AAMAS’15, where preliminary parts of this work appeared. FM thanks the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) for the support within process numbers 306864/2013-4 under the PQ fellowship and 482156/2013-9 under the Universal project programs. NYS acknowledges support of the AUB University Research Board Grant Number 102853 and the OSB Grant OFFER_C1_2013_2014.Peer reviewe

Impacts of cultural dynamics on conservation of Suakin, Sudan

This article was published in the journal Proceedings of the ICE- Engineering Sustainability [http://www.icevirtuallibrary.com/content/serial/ensu]. Permission is granted by ICE Publishing to print one copy for personal use. Any other use of these PDF files is subject to reprint fees.The aim of this work was to explore the impact of local cultural dynamics on the conservation of the built heritage of Suakin, an abandoned historic port on the Red Sea coast of Sudan, through a collaborative stakeholder approach. Key representatives of local stakeholder groups attended a two-day workshop and took part in a series of collaborative activities. These encompassed the production of a rank-ordered list of the key local cultural dynamics impacting on the port's conservation, agreement to a number of actions to address obstacles to conservation, identification of local cultural values collectively determined by stakeholder and confirmation of the value of an integrated conservation approach. The workshop enabled a shared understanding and responsibility between stakeholders and established a commitment to further action to address the key local cultural dynamics impacting on the conservation. This collaborative stakeholder participation represented a new step in the port's conservation and invited the development of more formal protocols to enable the equal representation and participation of stakeholders in future conservation activities and initiatives