• Article  

      ABA: Argumentation based agents 

      Kakas, Antonis C.; Amgoud, L.; Kern-Isberner, G.; Maudet, N.; Moraïtis, Pavlos (2012)
      Many works have identified the potential benefits of using argumentation in multiagent settings, as a way to implement the capabilities of agents (eg. decision making, communication, negotiation) when confronted with ...
    • Article  

      Analysis of neuromuscular disorders using statistical and entropy metrics on surface EMG 

      Istenic, R.; Kaplanis, P. A.; Pattichis, Constantinos S.; Zazula, D. (2008)
      This paper introduces the surface electromyogram (EMG) classification system based on statistical and entropy metrics. The system is intended for diagnostic use and enables classification of examined subject as normal, ...
    • Conference Object  

      Argumentation Based Decision Making for Autonomous Agents 

      Kakas, Antonis C.; Moraïtis, Pavlos (2003)
      This paper presents an argumentation based framework to support the decision making of an agent within a modular architecture for agents. The proposed argumentation framework is dynamic, with arguments and their strength ...
    • Conference Object  

      Argumentation based modeling of decision aiding for autonomous agents 

      Dimopoulos, Yannis; Moraïtis, Pavlos; Tsoukiàs, A. (2004)
      Decision Aiding can be abstractly described as the process of assisting a user/client/decision maker by recommending possible courses of his action. This process has to be able to cope with incomplete and/or inconsistent ...
    • Conference Object  

      A catalog of ∃ℝ-complete decision problems about Nash equilibria in multi-player games 

      Bilò, Vittorio; Mavronicolas, Marios (Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 2016)
      [Schaefer and Štefankovic, Theory of Computing Systems, 2015] provided an explicit formulation of ∃ℝ as the class capturing the complexity of deciding the Existential Theory of the Reals, and established that deciding, ...
    • Article  

      Centralized Versus Decentralized Optimization of Distributed Stochastic Differential Decision Systems with Different Information Structures-Part I: A General Theory 

      Charalambous, Charalambos D.; Ahmed, N. U. (2017)
      Decentralized optimization of distributed stochastic dynamical systems with two or more controls of the decision makers (DMs) has been an active area of research for over half a century. Although, such decentralized ...
    • Article  

      Complexity of rational and irrational nash equilibria 

      Bilò, Vittorio; Mavronicolas, Marios (2014)
      We introduce two new natural decision problems, denoted as ∃ RATIONAL NASH and ∃ IRRATIONAL NASH, pertinent to the rationality and irrationality, respectively, of Nash equilibria for (finite) strategic games. These problems ...
    • Article  

      Complexity of rational and irrational Nash equilibria 

      Bilò, Vittorio; Mavronicolas, Marios (2011)
      We introduce two new decision problems, denoted as ∃ RATIONAL NASH and ∃ IRRATIONAL NASH, pertinent to the rationality and irrationality, respectively, of Nash equilibria for (finite) strategic games. These problems ask, ...
    • Article  

      The complexity of synchronous iterative Do-All with crashes 

      Georgiou, Chryssis; Russell, A.; Shvartsman, A. A. (2004)
      The ability to cooperate on common tasks in a distributed setting is key to solving a broad range of computation problems ranging from distributed search such as SETI to distributed simulation and multi-agent collaboration. ...
    • Article  

      Conflicts resolution with the SoDA methodology 

      Spanoudakis, Nikolaos I.; Kakas, Antonis C.; Moraïtis, Pavlos (2017)
      This paper studies the application of argumentation theory and methods from Artificial Intelligence to the problem of conflict resolution. It shows how the decision theories of each of the parties involved in a conflict ...
    • Conference Object  

      Evaluation of likelihood-ratio and performance bounds for nonlinear decision problems via stochastic PDE 

      Charalambous, Charalambos D.; Hibey, Joseph L. (American Automatic Control Council, 1994)
      The nonlinear binary decision problem with signal satisfying a diffusion equation observed through noisy measurements is considered. Using the unnormalized conditional density of nonlinear filtering, expressions for ...
    • Article  

      Extended semantics and optimization algorithms for CP-networks 

      Brafman, R. I.; Dimopoulos, Yannis (2004)
      Preference elicitation is a serious bottleneck in many decision support applications and agent specification tasks. Ceteris paribus (CP)-nets were designed to make the process of preference elicitation simpler and more ...
    • Article  

      Extending argumentation to make good decisions 

      Dimopoulos, Yannis; Moraïtis, Pavlos; Amgoud, L. (2009)
      Argumentation has been acknowledged as a powerful mechanism for automated decision making. In this context several recent works have studied the problem of accommodating preference information in argumentation. The majority ...
    • Conference Object  

      A heuristic search algorithm for maneuvering of UAVs across dense thermal areas 

      Kahveci, N. E.; Ioannou, Petros A.; Mirmirani, M. D. (2007)
      In order to ensure that an aircraft has the potential to meet the assigned performance requirements which are often mission specific, the particular aerodynamic demands involved must be taken into account during the aircraft ...
    • Conference Object  

      Reliably executing tasks in the presence of untrusted entities 

      Fernández, A.; López, L.; Santos, Agustín; Georgiou, Chryssis (2006)
      In this work we consider a distributed system formed by a master processor and a collection of n processors (workers) that can execute tasks
    • Article  

      Stochastic linear programs with restricted recourse 

      Vladimirou, Hercules; Zenios, Stavros A. (1997)
      Stochastic programs with recourse provide an effective modeling paradigm for sequential decision problems with uncertain or noisy data, when uncertainty can be modeled by a discrete set of scenarios. In two-stage problems ...
    • Article  

      Stochastic linear programs with restricted recourse 

      Vladimirou, Hercules; Zenios, Stavros A. (1997)
      Stochastic programs with recourse provide an effective modeling paradigm for sequential decision problems with uncertain or noisy data, when uncertainty can be modeled by a discrete set of scenarios. In two-stage problems ...
    • Conference Object  

      Surface failure detection for an F/A-18 aircraft using neural networks and fuzzy logic 

      Raza, H.; Ioannou, Petros A.; Youssef, H. M. (IEEE, 1994)
      In this paper we consider the problem of detecting control surface failures of a high performance aircraft. The detection model is developed using a linear, six degree of freedom dynamic model of an F/A-18 aircraft. The ...
    • Conference Object  

      Two-phase commit optimizations and tradeoffs in the commercial environment 

      Samaras, George S.; Britton, Kathryn; Citron, Andrew; Mohan, C. (Publ by IEEE, 1993)
      An atomic commit protocol can ensure that all participants in a distributed transaction reach consistent states, whether or not system or network failures occur. One widely used protocol is the two-phase commit (2PC) ...
    • Article  

      Weighted boolean formula games 

      Mavronicolas, Marios; Monien, Burkhard; Wagner, K. W. (2007)
      We introduce a new class of succinct games, called weighted boolean formula games. Here, each player has a set of boolean formulas he wants to get satisfied. The boolean formulas of all players involve a ground set of ...