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Dive into the research topics where Emanuele Covino is active.

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Featured researches published by Emanuele Covino.


Procedia Computer Science | 2011

An approach to use FB-AODV with Android

Nicola Corriero; Emanuele Covino; Angelo Mottola

This work talks about an attempt to create a Mobile Ad-hoc NETwork with Android smartphones. We used FBaodv to manage the networks and some bash script to share informations within the networks. MANET was tested by simple applications to view local neighbors, to send sms over the networks.


Archive | 2001

Bayesian Cognitive Diagnosis in Believable Multiagent Systems

Fiorella de Rosis; Emanuele Covino; Cristiano Castelfranchi; Rino Falcone

Multiagent systems are computational systems in which several agents interact either to solve a common problem or to achieve independent goals, by coordinating with each other. Agents are computational entities aimed at autonomously achieving some goal or assigned task; they can compete, cooperate, communicate and negotiate with each other. A rational agent takes decisions about how to behave in a given circumstance by reasoning on its own mental state, that is on first order beliefs and goals. When it is programmed so as to show a ‘socially intelligent’ behaviour, it considers, in its reasoning, also the mental state of the agents with which it interacts (second and higher order beliefs). Second order beliefs may be acquired through ‘self-introduction’ of agents, may be inherited from stereotypes, may be ascribed according to one’s own beliefs or may be inferred by observing the other agents’ behaviour [Jameson, 1995]. In the absence of any information (for instance, at its entry in the world), the observing agent may start from a default and possibly incomplete model of the other agents: this model will be revised as the interaction proceeds, through a reasoning process that has been named belief ascription or cognitive diagnosis [Lee and Wilks, 1996], [Self, 1993]. The following problems characterize this reasoning process: the behaviour of the observed agent may be ‘ambiguous’, and subject to different interpretations; in this case, the most likely hypothesis has to be selected, by leaving aside alternatives for future revisions; this behaviour may be ‘contradictory’, for different reasons: because the observed agent may change its mind, because it may lie or just because a previous interpretation was incorrect.


Journal of Functional Programming | 2001

A predicative approach to the classification problem

Salvatore Caporaso; Emanuele Covino; Giovanni Pani

We harmonize many time-complexity classes DTIMEF ( f ( n )) ( f ( n ) [ges ] n ) with the PR functions (at and above the elementary level) in a transfinite hierarchy of classes of functions [Tscr ] α . Class [Tscr ] α is obtained by means of unlimited operators, namely: a variant Π of the predicative or safe recursion scheme, introduced by Leivant, and by Bellantoni and Cook, if α is a successor; and constructive diagonalization if α is a limit. Substitution ( SBST ) is discarded because the time complexity classes are not closed under this scheme. [Tscr ] α is a structure for the PR functions finer than [Escr ] α , to the point that we have [Tscr ] e 0 = [Escr ] 3 (elementary functions). Although no explicit use is made of hierarchy functions, it is proved that f ( n ) ∈ [Tscr ] α implies f ( n ) [les ] n G α ( n ) , where G α belongs to the slow growing hierarchy (of functions) studied, in particular, by Girard and Wainer.


international conference on digital information processing and communications | 2011

HSFS: A Compress Filesystem for Metadata Files

Nicola Corriero; Emanuele Covino; Giuseppe D’amore; Giovanni Pani

In this paper we propose a solution to improve the search among compress data. A Linux filesystem have been implemented by combining the advantages of squashfs (compression) and hixosfs (for research). We test our idea with DICOM file used to store medical images.


international conference on algorithms and complexity | 2000

Extending the Implicit Computational Complexity Approach to the Sub-elementary Time-Space Classes

Emanuele Covino; Giovanni Pani; Salvatore Caporaso

A resource-free characterization of some complexity classes is given by means of the predicative recursion and constructive diagonalization schemes, and of restrictions to substitution. Among other classes, we predicatively harmonize in the same hierarchy ptimef, the class Ɛ of the elementary functions, and classes DTIMESPACEF(np, nq).


Electronic Notes in Theoretical Computer Science | 2003

A Refinement of the μ-measure for Stack Programs

Emanuele Covino; Giovanni Pani

Abstract We analyze the complexity of a programming language operating on stacks, introducing a syntactical measure σ such that to each program P a natural number σ( P ) is assigned; the measure considers the influence on the complexity of programs of nesting loops and, simultaneously, of sequences of non-size-increasing subprograms. We prove that functions computed by stack programs of σ measure n have a length bound b∈ E n+2 (the n+2-th Grzegorczyk class), that is |f( w → )|≤b(| w → |) . This result represents an improvement with respect to the bound obtained via the μ-measure presented in [L. Kristiansen and K.-H. Niggl, On the computational complexity of imperative programming languages. Theoretical Computer Science, to appear].


international conference on algorithms and complexity | 1997

Syntactic Characterization in LISP of the Polynominal Complexity Classes and Hierarchy

Salvatore Caporaso; Michele Zito; Nicola Galesi; Emanuele Covino

The definition of a class C of functions is syntactic if membership to C can be decided from the construction of its elements. Syntactic characterizations of PTIMEF, of PSPACEF, of the polynomial hierarchy PH, and of its subclasses Δ n p are presented. They are obtained by progressive restrictions of recursion in Lisp, and may be regarded as predicative according to a foundational point raised by Leivant.


distributed multimedia systems | 2005

A visual tool for multidimensional data analysis.

Paolo Buono; Maria Francesca Costabile; Emanuele Covino; Giovanni Pani


trends in functional programming | 2008

Complexity Certification of C++ Template Metaprogramming.

Emanuele Covino; Giovanni Pani


Journal of Universal Computer Science | 2002

An Implicit Recursive Language for the Polynomial Time-space Complexity Classes.

Emanuele Covino; Giovanni Pani

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Nicola Galesi

Sapienza University of Rome

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