Ebrahim H. Mamdani

dblp:62/4565 · also Abe Mamdani, E. H. Mamdani, Ebrahim Mamdani · DBLP profile ↗
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22ranked-venue papers
8as first author
0since 2021 · last 2008
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 12 · 4 first-authorArtificial intelligence and machine learning · 7 · 3 first-authorGraphics, computer vision, multimedia, augmented reality and games · 3Systems, architecture and hardware · 1 · 1 first-authorSecurity and privacy · 1Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
7 papers
Planning, search and constraint satisfaction · 32% Knowledge representation and reasoning · 32% Reinforcement learning · 24%

Topics — the 6 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › intelligent control
fuzzy control
0.021999
An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller · Int. J. Hum. Comput. Stud. 1999
An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller · Int. J. Man Mach. Stud. 1975
Machine learning › Reinforcement learning › multi-agent reinforcement learning › multi-agent communication
agent communication languages
0.011999
A Protocol-Based Semantics for an Agent Communication Language · IJCAI 1999
Knowledge, reasoning and agents › Multi-agent systems
distributed problem solving
0.011992
Using Joint Responsibility to Coordinate Collaborative Problem Solving in Dynamic Environments · AAAI 1992
Robotics › Motion planning and robot control › path planning
dynamic path planning
0.011992
Using Joint Responsibility to Coordinate Collaborative Problem Solving in Dynamic Environments · AAAI 1992
Knowledge, reasoning and agents › Knowledge representation and reasoning
expert systems
0.011985
Higher-Order Logics for Handling Uncertainty in Expert Systems · Int. J. Man Mach. Stud. 1985
Knowledge, reasoning and agents › Knowledge representation and reasoning › uncertainty reasoning
approximate reasoning
0.011977
Application of Fuzzy Logic to Approximate Reasoning Using Linguistic Synthesis · IEEE Trans. Computers 1977

Methods — techniques the papers use, named apart from their topics

fuzzy logic · 0.0distributed coordination · 0.0higher-order logic · 0.0formal logic · 0.0
YearPublicationVenuePosition
2008 An intelligent proactive security system for cyber centres using Cognitive Agents
abstract
The computers at cyber centres are vulnerable. They can be used for various illegal activities. Only the system-level security solutions are not sufficient to prevent these activities completely. There is a need for an intelligent scheme which identifies culprits based on behaviours and actions. This paper proposes an intelligent and environment based proactive security system for cyber centres, using cognitive agents. The agents are used for belief generation, belief analysis and to execute suitable security actions and pro-actions. This method of controlling the cyber crime at usage level, will be the requisite step towards preventing Internet abuse.
Pallapa Venkataram, Jeremy V. Pitt, B. Sathish Babu, Ebrahim H. Mamdani
Int. J. Inf. Comput. Secur.4
2004 Soft computing as a tool
abstract
The authors are of the opinion that building a good application calls, first and foremost, a profound understating of the application domain with all of its (sometimes highly complex) subtleties in order that a comprehensive knowledgebase can be embedded in the tool because that is what will provide a good answer and not the refinements of the underlying mathematical system.
Ebrahim H. Mamdani, Piero P. Bonissone
FUZZ-IEEE1
2004 Computer Aided Emotional Fashion
Petar Goulev, Lisa Stead, Ebrahim H. Mamdani, Caroline Evans
Comput. Graph.3
2004 The Emotional Wardrobe
Lisa Stead, Petar Goulev, Caroline Evans, Ebrahim H. Mamdani
Pers. Ubiquitous Comput.4
2003 Fuzzy logic control - from owning the problem to finding a good solution
abstract
Summary form only given. The occasion of this presentation provides an opportunity to re visit the first application of fuzzy control to a model steam engine carried out back in 1972 - 30 years ago. That work was focused on a problem that was looking for a solution which ultimately resulted in the use of fuzzy rules. The presentation will describe how the rules can be seen as an embodiment of the ownership of the problem. The solution (FLC) came to be a technique in its own right that has been applied to a vast number of other problems. FLC as with many other novel applications has had its share of serendipity. Beyond the reminiscences, the presentation will try and look for some lessons that can be learnt. The theoretically inclined (who provide the solution designers with the mathematical help needed) and the problem owners, even while dealing with the same technique, have different aims and expectations and indeed inhabit different worlds. Yet they can come together to face the challenges of new problems and provide solutions which benefit us all.
Ebrahim H. Mamdani
FUZZ-IEEE1
2003 Scripting embodied agents behaviour with CML: character markup language
abstract
Embodied agents present ongoing challenging agenda for research in multi-modal user interfaces and human-computer-interaction. Such agent metaphors will only be widely applicable to online applications when there is a standardised way to map underlying engines with the visual presentation of the agents. This paper delineates the functions and specifications of a mark-up language for scripting the animation of virtual characters. The language is called: Character Mark-up Language (CML) and is an XML-based character attribute definition and animation scripting language designed to aid in the rapid incorporation of lifelike characters/agents into online applications or virtual reality worlds. This multi-modal scripting language is designed to be easily understandable by human animators and easily generated by a software process such as software agents. CML is constructed based jointly on motion and multi-modal capabilities of virtual life-like figures. The paper further illustrates the constructs of the language and describes a real-time execution architecture that demonstrates the use of such a language as a 4G language to easily utilise and integrate MPEG-4 media objects in online interfaces and virtual environments
Yasmine Arafa, Ebrahim H. Mamdani
IUI2
2002 Multi-Modal Embodied Agents Scripting
abstract
Embodied agents present ongoing challenging agenda for research in multi-modal user interfaces and human-computer-interaction. Such agent metaphors will only be widely applicable to online applications when there is a standardised way to map underlying engines with the visual presentation of the agents. This paper delineates the functions and specifications of a mark-up language for scripting the animation of virtual characters. The language is called: Character Mark-up Language (CML) and is an XML-based character attribute definition and animation scripting language designed to aid in the rapid incorporation of lifelike characters/agents into online applications or virtual reality worlds. This multi-modal scripting language is designed to be easily understandable by human animators and easily generated by a software process such as software agents. CML is constructed based jointly on motion and multi-modal capabilities of virtual life-like figures. The paper further illustrates the constructs of the language and describes a real-time execution architecture that demonstrates the use of such a language as a 4G language to easily utilise and integrate MPEG-4 media objects in online interfaces and virtual environments.
Yasmine Arafa, Ebrahim H. Mamdani
ICMI2
2000 A Framework for Supporting Multimodal Conversational Characters in a Multi-agent System
Yasmine Arafa, Ebrahim H. Mamdani
ICMI2
2000 Virtual personal service assistants: towards real-time characters with artificial hearts
abstract
Over the last years there has been a growing consensus that new generation interfaces turn their focus on the human element by enriching an Affective dimension. Affective generation of autonomous agent behaviour aspires to give computer interfaces emotional states that relate and take into account user as well as system environment considerations. Internally, through computational models of artificial hearts (emotion and personality), and externally through believable multi-modal expression augmented with quasi-human characteristics. Computational models of affect are addressing problems of how agents arrive at a given affective state. Much of this work is targeting the entertainment environment and generally does not address the requirements of multi-agent systems, where behaviour is dynamically changing based on agent goals as well as the shared data and knowledge. This paper discusses one of the requirements for real-time realisation of Personal Service Assistant interface characters.
Yasmine Arafa, Ebrahim H. Mamdani
IUI2
2000 Face-to-face interaction with an electronic personal sales assistant
abstract
The research presented explores a new paradigm for e-commerce human-computer-interaction, presentation and personalisation. It describes face-to-face conversational interaction with intelligent, visual, lifelike electronic sales assistant agents. This paradigm joins two research areas: that of visual and conversational interface agents which provide an intuitive metaphor for human-computer interaction based on face-to-face conversation; and that of knowledge-based, market-aware, user-aware personal agents that can adapt to individual consumer preferences and requirements in a service-based electronic market. By combining these two areas we yield a conversational form of human-machine interaction that has potential for shaping tomorrow's interface to the world of e-commerce.
Yasmine Arafa, Ebrahim H. Mamdani
SMC2
1999 A Protocol-Based Semantics for an Agent Communication Language
Jeremy V. Pitt, Ebrahim H. Mamdani
IJCAI2
1999 Some Remarks on the Semantics of FIPA?s Agent Communication Language
Jeremy V. Pitt, Ebrahim H. Mamdani
Auton. Agents Multi Agent Syst.2
1999 An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller
Ebrahim H. Mamdani, S. Assilian
Int. J. Hum. Comput. Stud.1
1995 Editorial: real-world applications of uncertain reasoning
David Heckerman, Ebrahim H. Mamdani, Michael P. Wellman
Int. J. Hum. Comput. Stud.2
1993 On reasoning in networks with qualitative uncertainty
Simon Parsons, Ebrahim H. Mamdani
UAI2
1992 Using Joint Responsibility to Coordinate Collaborative Problem Solving in Dynamic Environments
Nicholas R. Jennings, Ebrahim H. Mamdani
AAAI2
1988 Fuzzy sets and applications: selected papers by L A Zadeh, R R Yager, S Ovchinikov, R M Tong, H T Nguyen (eds) John Wiley and Sons Inc, £45.85, ISBN 0 471 85710 6, 684pp
Ebrahim H. Mamdani
Knowl. Based Syst.1
1985 Higher-Order Logics for Handling Uncertainty in Expert Systems
Ebrahim H. Mamdani, Janet Efstathiou
Int. J. Man Mach. Stud.1
1984 An Analysis of Formal Logics as Inference Mechanisms in Expert Systems
Ebrahim H. Mamdani, Janet Efstathiou
Int. J. Man Mach. Stud.1
1977 Application of Fuzzy Logic to Approximate Reasoning Using Linguistic Synthesis
abstract
This paper describes an application of fuzzy logic in designing controllers for industrial plants. A fuzzy logic is used to synthesize linguistic control protocol of a skilled operator. The method has been applied to pilot scale plants as well as in practical situations. The merits of this method and its usefulness to control engineering are discussed. An avenue for further work in this area is described where the need is to go beyond a purely descriptive approach, and means for implementing a prescriptive or a self-organizing system are explored.
Ebrahim H. Mamdani
IEEE Trans. Computers1
1977 A Fuzzy Logic Controller for a Trafc Junction
abstract
Work done on the implementation of a fuzzy logic controller in a single intersection of two one-way streets is presented. The model of the intersection is described and validated, and the use of the theory of fuzzy sets in constructing a controller based on linguistic control instructions is introduced. The results obtained from the implementation of the fuzzy logic controller are tabulated against those corresponding to a conventional effective vehicle-actuated controller. With the performance criterion being the average delay of vehicles, it is shown that the use of a fuzzy logic controller results in a better performance.
Costas P. Pappis, Ebrahim H. Mamdani
IEEE Trans. Syst. Man Cybern.2
1975 An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller
Ebrahim H. Mamdani, S. Assilian
Int. J. Man Mach. Stud.1