All Outputs (40)

Transfer learning for operator selection: A reinforcement learning approach (2022)
Journal Article

In the past two decades, metaheuristic optimisation algorithms (MOAs) have been increasingly popular, particularly in logistic, science, and engineering problems. The fundamental characteristics of such algorithms are that they are dependent on a par... Read More about Transfer learning for operator selection: A reinforcement learning approach.

Probabilistic resource-bounded alternating-time temporal logic (2019)
Presentation / Conference Contribution

This paper extends resource-bounded ATL (RB-ATL)
with probabilistic reasoning and provides the syntax and semantics of the resulting logic, probabilistic resource-bounded ATL (pRB-ATL).

Model checking ontology-driven reasoning agents using strategy and abstraction (2019)
Journal Article

We present a framework for the modelling, specification and verification of ontology-driven multi-agent rule-based systems (MASs). We assume that each agent executes in a separate process and that they communicate via message passing. The proposed ap... Read More about Model checking ontology-driven reasoning agents using strategy and abstraction.

An Efficient Rule-Based Distributed Reasoning Framework for Resource-bounded Systems (2018)
Journal Article

© 2018, The Author(s). Over the last few years, context-aware computing has received a growing amount of attention among the researchers in the IoT and ubiquitous computing community. In principle, context-aware computing transforms a physical enviro... Read More about An Efficient Rule-Based Distributed Reasoning Framework for Resource-bounded Systems.

Modeling and Reasoning about Preference-Based Context-Aware Agents over Heterogeneous Knowledge Sources (2017)
Journal Article

© 2017, The Author(s). This paper presents a conceptual framework and multi-agent model for context-aware decision support in dynamic smart environments based on heterogeneous knowledge sources. A Protégé plug-in for rules extraction from distributed... Read More about Modeling and Reasoning about Preference-Based Context-Aware Agents over Heterogeneous Knowledge Sources.

A preference-based application framework for resource-bounded context-aware agents (2017)
Book Chapter

Context-awareness is an essential component of mobile and pervasive computing. It refers to the concept that an application understands its context, reason about its current situation, and provide relevant information and/or services to the users. On... Read More about A preference-based application framework for resource-bounded context-aware agents.

A framework for implementing formally verified resource-bounded smart space systems (2017)
Journal Article

© 2017, Springer Science+Business Media New York. Context-aware computing is a mobile computing paradigm that helps designing and implementing next generation smart applications, where personalized devices interact with users in smart environments. D... Read More about A framework for implementing formally verified resource-bounded smart space systems.

The Onto-CropBase – A semantic web application for querying crops linked-data (2016)
Journal Article

© Springer International Publishing Switzerland 2016. The lack of formal technical knowledge has been identified as one of the constraints to research and development on a group of crops collectively referred to as underutilized crops. Some informati... Read More about The Onto-CropBase – A semantic web application for querying crops linked-data.

MyGeo-Explorer: A semantic search tool for querying geospatial information (2015)
Journal Article

We propose a semantic search approach for geospatial information systems to resolve the issue of semantic heterogeneity in metadata catalogues. Using the Malaysian geospatial data infrastructure service portal, MyGDI Explorer, as a comparative case s... Read More about MyGeo-Explorer: A semantic search tool for querying geospatial information.

Alternating-time temporal logic with resource bounds (2015)
Journal Article

© 2015 The Author. Many problems in AI and multi-agent systems research are most naturally formulated in terms of the abilities of a coalition of agents. There exist several excellent logical tools for reasoning about coalitional ability. However, co... Read More about Alternating-time temporal logic with resource bounds.

A Logical Framework for the Representation and Verification of Context-aware Agents (2014)
Journal Article

© 2014, Springer Science+Business Media New York. We propose a logical framework for modelling and verifying context-aware multi-agent systems. We extend CTL∗ with belief and communication modalities, and the resulting logic 𝓛OCRS allows us t... Read More about A Logical Framework for the Representation and Verification of Context-aware Agents.

Formal approaches to modelling and verifying resource-bounded agents-state of the art and future prospects (2012)
Journal Article

This paper reviews formal approaches to modelling and verifying resource-bounded agents focusing on state of the Art and future prospects.

Logic for coalitions with bounded resources (2011)
Journal Article

Recent work on Alternating-Time Temporal Logic and Coalition Logic has allowed the expression of many interesting properties of coalitions and strategies. However, there is no natural way of expressing resource requirements in these logics. In this a... Read More about Logic for coalitions with bounded resources.

Verifying requirements for resource-bounded agents (2011)
Thesis

This thesis presents frameworks for the modelling and verification of resource-bounded reasoning agents. The resources considered include the time, memory, and communication bandwidth required by agents to achieve a goal. The scalability and expressi... Read More about Verifying requirements for resource-bounded agents.

Analysing the predictivity of features to characterise the search space
Presentation / Conference Contribution

Exploring search spaces is one of the most unpredictable challenges that has attracted the interest of researchers for decades. One way to handle unpredictability is to characterise the search spaces and take actions accordingly. A well-characterised... Read More about Analysing the predictivity of features to characterise the search space.

Memory-constrained context-aware reasoning
Presentation / Conference Contribution

The context-aware computing paradigm introduces environments, known as smart spaces, which can unobtrusively and proactively assist their users. These systems are currently mostly implemented on mobile platforms considering various techniques, includ... Read More about Memory-constrained context-aware reasoning.

Component-wise instruction-cache behavior prediction
Presentation / Conference Contribution

The precise determination of worst-case execution times (WCETs) for programs is mostly being performed on fully linked executables, since all needed information is available and all machine parameters influencing cache performance are available to th... Read More about Component-wise instruction-cache behavior prediction.

Verification of resource requirements of distributed reasoning agents
Presentation / Conference Contribution

We present a framework for verifying systems composed of heterogeneous reasoning agents, in which each agent may have differing knowledge and inferential capabilities, and where the resources each agent is prepared to commit to a goal (time, memory a... Read More about Verification of resource requirements of distributed reasoning agents.

Verifying time, memory and communication bounds in systems of reasoning agents
Presentation / Conference Contribution

We present a framework for verifying systems composed of heterogeneous reasoning agents, in which each agent may have differing knowledge and inferential capabilities, and where the resources each agent is prepared to commit to a goal (time, memory a... Read More about Verifying time, memory and communication bounds in systems of reasoning agents.

Verifying time and communication costs of rule-based reasoners
Presentation / Conference Contribution

We present a framework for the automated verification of time and communication requirements in systems of distributed rule-based reasoning agents which allows us to determine how many rule-firing cycles are required to solve the problem, how many me... Read More about Verifying time and communication costs of rule-based reasoners.