References of "Bikakis, Antonis"
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See detailTechnology-Powered Strategies to Rethink the Pedagogy of History and Cultural Heritage through Symmetries and Narratives
Lopez-Nores, Martin; Gustavo Bravo-Quezada, Omar; Bassani, Maddalena et al

in Symmetry (2019), 11(3),

Recent advances in semantic web and deep learning technologies enable new means for the computational analysis of vast amounts of information from the field of digital humanities. We discuss how some of ... [more ▼]

Recent advances in semantic web and deep learning technologies enable new means for the computational analysis of vast amounts of information from the field of digital humanities. We discuss how some of the techniques can be used to identify historical and cultural symmetries between different characters, locations, events or venues, and how these can be harnessed to develop new strategies to promote intercultural and cross-border aspects that support the teaching and learning of history and heritage. The strategies have been put to the test in the context of the European project CrossCult, revealing enormous potential to encourage curiosity to discover new information and increase retention of learned information [less ▲]

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See detailCollaborative Explanation and Response in Assisted Living Environments Enhanced with Humanoid Robots
bikakis, Antonis; Caire, Patrice UL; clark, keith et al

in 8th International Conference on Agents and Artificial Intelligence, ICAART, Rome, Italy, 2016 (2016)

An ageing population with increased social care needs has provided recent impetus for research into assisted living technologies, as the need for different approaches to providing supportive environments ... [more ▼]

An ageing population with increased social care needs has provided recent impetus for research into assisted living technologies, as the need for different approaches to providing supportive environments for senior citi- zens becomes paramount. Ambient intelligence (AmI) systems are already contributing to this endeavour. A key feature of future AmI systems will be the ability to identify causes and explanations for changes to the environment, in order to react appropriately. We identify some of the challenges that arise in this respect, and argue that an iterative and distributed approach to explanation generation is required, interleaved with di- rected data gathering. We further argue that this can be realised by developing and combining state-of-the art techniques in automated distributed reasoning, activity recognition, robotics, and knowledge-based control. [less ▲]

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See detailPrivacy Challenges in Ambient Intelligence Systems
Caire, Patrice UL; Moawad, Assaad UL; Efthymiou, Vasileios UL et al

in Journal of Ambient Intelligence and Smart Environments (2016)

Today, privacy is a key concept. It is also one which is rapidly evolving with technological advances, and there is no consensus on a single definition for it. In fact, the concept of privacy has been ... [more ▼]

Today, privacy is a key concept. It is also one which is rapidly evolving with technological advances, and there is no consensus on a single definition for it. In fact, the concept of privacy has been defined in many different ways, ranging from the “right to be left alone” to being a “commodity” that can be bought and sold. In the same time, powerful Ambient Intelligence (AmI) systems are being developed, that deploy context-aware, personalised, adaptive and anticipatory services. In such systems personal data is vastly collected, stored, and distributed, making privacy preservation a critical issue. The human- centred focus of AmI systems has prompted the introduction of new kinds of technologies, e.g. Privacy Enhancing Technologies (PET), and methodologies, e.g. Privacy by Design (PbD), whereby privacy concerns are included in the design of the system. One particular application field, where privacy preservation is of critical importance is Ambient Assisted Living (AAL). Emerging from the continuous increase of the ageing population, AAL focuses on intelligent systems of assistance for a better, healthier and safer life in their living environment. In this paper, we first build on our previous work, in which we introduced a new tripartite categorisation of privacy as a right, an enabler, and a commodity. Second, we highlight the specific privacy issues raised in AAL. Third, we review and discuss current approaches for privacy preservation. Finally, drawing on lessons learned from AAL, we provide insights on the challenges and opportunities that lie ahead. Part of our methodology is a statistical analysis performed on the IEEE publications database. We illustrate our work with AAL scenarios elaborated in cooperation with the city of Luxembourg. [less ▲]

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See detailComputing coalitions in Multiagent Systems: A contextual reasoning approach
bikakis, Antonis; Caire, Patrice UL

in Lecture Notes in Computer Science (2015), 8953

In multiagent systems, agents often have to rely on other agents to reach their goals, for example when they lack a needed resource or do not have the capability to perform a required action. Agents there ... [more ▼]

In multiagent systems, agents often have to rely on other agents to reach their goals, for example when they lack a needed resource or do not have the capability to perform a required action. Agents there- fore need to cooperate. Some of the questions then raised, such as, which agent to cooperate with, are addressed in the field of coalition formation. In this paper we go further and first, address the question of how to com- pute the solution space for the formation of coalitions using a contextual reasoning approach. We model agents as contexts in Multi-Context Sys- tems (MCS) and dependence relations among agents as bridge rules. We then systematically compute all potential coalitions using algorithms for MCS equilibria. Finally, given a set of functional and non-functional requirements, we propose ways to select the best solutions. We illustrate our approach with an example from robotics. [less ▲]

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See detailComputing coalitions in Multiagent Systems, A contextual reasoning approach
Bikakis, Antonis, ; Caire, Patrice UL

in European Conference on Multi-Agent Systems, Prague 18-19 December 2014 (2014, December 18)

In multiagent systems, agents often have to rely on other agents to reach their goals, for example when they lack a needed resource or do not have the capability to perform a required action. Agents there ... [more ▼]

In multiagent systems, agents often have to rely on other agents to reach their goals, for example when they lack a needed resource or do not have the capability to perform a required action. Agents there- fore need to cooperate. Some of the questions then raised, such as, which agent to cooperate with, are addressed in the field of coalition formation. In this paper we go further and first, address the question of how to com- pute the solution space for the formation of coalitions using a contextual reasoning approach. We model agents as contexts in Multi-Context Systems (MCS) and dependence relations among agents as bridge rules. We then systematically compute all potential coalitions using algorithms for MCS equilibria. Finally, given a set of functional and non-functional requirements, we propose ways to select the best solutions. We illustrate our approach with an example from robotics. [less ▲]

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See detailTools for Conviviality in Multi-Context Systems
bikakis, Antonis; Caire, Patrice UL; Le Traon, Yves UL

in IfCoLog Journal of Logics and Their Applications (2014), 1(1),

A common feature of many distributed systems, including web social networks, peer-to-peer systems and Ambient Intelligence systems, is cooperation in terms of information exchange among heterogeneous ... [more ▼]

A common feature of many distributed systems, including web social networks, peer-to-peer systems and Ambient Intelligence systems, is cooperation in terms of information exchange among heterogeneous entities. In order to facilitate the exchange of information, we first need ways to evaluate it. The concept of conviviality was recently proposed for modeling and measuring cooperation among agents in multiagent systems. In this paper, we introduce conviviality as a property of Multi-Context Systems (MCS). We first present how to use conviviality to model and evaluate interactions among different contexts, which represent heterogeneous entities in a distributed system. Then, as one cause of logical conflicts in MCS is due to the exchange of information between mutually inconsistent contexts, we show how inconsistency can be resolved using the conviviality property. We illustrate our work with an example from web social networks. [less ▲]

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See detailA MCS-based methodology for computing coalitions in Multirobot Systems
Caire, Patrice UL; Bikakis, Antonis

in Cognitive Robotics (2014)

We introduce a new methodology to systematically com- pute all possible coalitions among the robots of a multirobot system using the model and algorithms of Multi-Context Systems (MCS).

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See detailInformation Dependencies in MCS: Conviviality-Based Model and Metrics
Caire, Patrice UL; Bikakis, Antonis; Le Traon, Yves UL

in 16th INTERNATIONAL CONFERENCE ON PRINCIPLES AND PRACTICE OF MULTI-AGENT SYSTEMS (PRIMA 2013) (2013, December 01)

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See detailA Rule-based Contextual Reasoning Platform for Ambient Intelligence environments
Moawad, Assaad UL; Bikakis, Antonis; Caire, Patrice UL et al

in Theory, Practice, and Applications of Rules on the Web (2013, July 01)

The special characteristics and requirements of intelligent environments impose several challenges to the reasoning processes of Ambient Intelligence systems. Such systems must enable heterogeneous ... [more ▼]

The special characteristics and requirements of intelligent environments impose several challenges to the reasoning processes of Ambient Intelligence systems. Such systems must enable heterogeneous entities operating in open and dynamic environments to collectively rea- son with imperfect context information. Previously we introduced Con- textual Defeasible Logic (CDL) as a contextual reasoning model that addresses most of these challenges using the concepts of context, map- pings and contextual preferences. In this paper, we present a platform integrating CDL with Kevoree, a component-based software framework for Dynamically Adaptive Systems. We explain how the capabilities of Kevoree are exploited to overcome several technical issues, such as com- munication, information exchange and detection, and explain how the reasoning methods may be further extended. We illustrate our approach with a running example from Ambient Assisted Living. [less ▲]

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See detailR-CoRe: A Rule-based Contextual Reasoning Platform for AmI
Moawad, Assaad UL; Bikakis, Antonis; Caire, Patrice UL et al

in Joint Proceedings of the 7th International Rule Challenge, the Special Track on Human Language Technology and the 3rd RuleML Doctoral Consortium hosted at the 8th International Symposium on Rules (RuleML2013) (2013, July)

In this paper we present R-CoRe; a rule-based contextual reasoning platform for Ambient Intelligence environments. R-CoRe integrates Contextual Defeasible Logic (CDL) and Kevoree, a component-based ... [more ▼]

In this paper we present R-CoRe; a rule-based contextual reasoning platform for Ambient Intelligence environments. R-CoRe integrates Contextual Defeasible Logic (CDL) and Kevoree, a component-based software platform for Dynamically Adaptive Systems. Previously, we explained how this integration enables to overcome several reasoning and technical issues that arise from the imperfect nature of context knowledge, the open and dynamic nature of Ambient Intelligence environments, and the restrictions of wireless communications. Here, we focus more on technical aspects related to the architecture of R-Core, and demonstrate its use in Ambient Assisted Living. [less ▲]

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See detailIntroducing Conviviality as a property of Multi-Context Systems
Bikakis, Antonis; Efthymiou, Vasileios UL; Caire, Patrice UL et al

in The 4th International Workshop on Acquisition, Representation and Reasoning with Contextualized Knowledge ARCOE-12 (2012, August 27)

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See detailConviviality by Design
Caire, Patrice UL; Bikakis, Antonis; Efthymiou, Vasileios UL

in Social computing, Social cognition, social networks Acquisition, representation and reasoning with contextualized knowledge (ARCOE 2012) (2012)

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See detailModeling and Evaluating Cooperation in Multi-Context Systems using Conviviality
Efthymiou, Vasileios UL; Caire, Patrice UL; Bikakis, Antonis

in Proceedings of BNAIC 2012 The 24th Benelux Conference on Artificial Intelligence (2012)

Multi-Context Systems is a rule-based representation model for distributed, heterogeneous knowledge agents, which cooperate by sharing parts of their local knowledge through a set of bridge rules also ... [more ▼]

Multi-Context Systems is a rule-based representation model for distributed, heterogeneous knowledge agents, which cooperate by sharing parts of their local knowledge through a set of bridge rules also known as mappings. The concept of conviviality was recently proposed for modeling and measuring cooperation among agents in multiagent systems. In this paper, we describe how conviviality can be used to model and evaluate cooperation in Multi-Context Systems. As a potential application, we also propose a conviviality based method for inconsistency resolution based on the idea that the optimal solution is the one that minimally decreases the conviviality of the system. [less ▲]

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See detailEnhancing Cooperation in Distributed Information Systems using Conviviality and Multi-Context Systems
Caire, Patrice UL; Bikakis, Antonis

in Multi-disciplinary Trends in Artificial Intelligence - 5th International Workshop, MIWAI 2011, (2011)

Modern information systems are characterized by the distribution of information and services among several autonomous heterogeneous entities. A major requirement for the success of such systems is that ... [more ▼]

Modern information systems are characterized by the distribution of information and services among several autonomous heterogeneous entities. A major requirement for the success of such systems is that participating entities cooperate by sharing parts of their local knowledge. This paper presents a novel approach for modeling and enhancing cooperation in distributed information systems, which combines two formal models from the field of Knowledge Representation and Reasoning: a conviviality model and Multi-Context Systems. Our aim is two-fold. First, we develop a combined model for context-based representation and cooperation. Second, we provide the means for measuring cooperation leading to the design and evaluation of more convivial systems. [less ▲]

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