Computational Intelligence

Computational Intelligence: What Allah's Creations Can Teach Us

by Amar Faiz Zainal Abidin

Azrien Awang, Amar Faiz Zainal Abidin, Amira Sarayati Ahmad Dahlan (2012) Computational Intelligence: What Allah's Creations Can Teach Us. In Seminar Kebangsaan Fiqh Sains Dan Teknologi.

Do you know that a flock of birds can solve scheduling problem in manufacturing companies? Do you know that a colony... more Do you know that a flock of birds can solve scheduling problem in manufacturing companies? Do you know that a colony of ants can find the shortest distance for the school bus to travel when picking and sending the students to and fro the school? Do you know that a school of fish can design an electronic circuit? Do you know that the paddy in the field can solve mathematical problems? The statements might be exaggerated, but as far fetching as they heard; the scientists, academicians, mathematicians, programmers, engineers and researchers are looking answers for complex and difficult problems by observing the Allah’s creations. In this paper, our main objective is to introduce the area of Computational Intelligence from Islam perspective. Theory of Computational Intelligence will be explained in layman terms without having the reader to understand the technical jargons behind it. The paper explains how the researchers observed and turned the observations of the creations of Allah in nature into computer algorithms. Examples of applications of Computational Intelligence are then touched before going into success story of the commercial products. By the end of the paper, the writer hope that the readers of this paper not only realize the new area of research in computer science stream but also increase their faith to Allah S.W.T.

Magnetic Optimization Algorithm Approach for Travelling Salesman Problem

by Amar Faiz Zainal Abidin

Mohd Muzafar Ismail, Muhammad Iqbal Zakaria, Amar Faiz Zainal Abidin, Juwita Mad Juliani, Asrani Lit, Seyedali Mirjalili, Nur Anis Nordin, Muhammad Faiz Mohamed Saaid. (2012) Magnetic Optimization Algorithm Approach for Travelling Salesman Problem, 1393-1397. In World Academy of Science, Engineering and Technology.

Lately, numerous nature inspired optimization techniques has been applied to combinatorial optimization problems, such... more Lately, numerous nature inspired optimization techniques has been applied to combinatorial optimization problems, such as Travelling Salesman Problem. In this paper, we study the implementation of one of the nature inspired optimization techniques called Magnetic Optimization Algorithm in Travelling Salesman Problem. In this implementation, each magnetic agent or particle in Magnetic Optimization Algorithm represents a candidate solution of the Travelling Salesman Problem. The strength of the magnetic force between these particles is inversely proportion to the distance calculated by the Traveling Salesman Problems solution they represented. Particles with higher magnetic force will attract other particles with relatively lower magnetic force, towards it. The process repeated until satisfying a stopping condition, and the solution with lowest distance is considered as the best- found solution. The performance of the proposed approach is benchmarked with a case study taken from a well-known test bank.

An Ant Colony System for Routing in PCB Holes Drilling Process

by Amar Faiz Zainal Abidin

Muhammad Salihin Saelal, Amar Faiz Zainal Abidin, Asrul Adam, Jameel Abdulla Ahmed Mukred, Kamal Khalil, Zulkifli Md Yusof, Zuwairie Ibrahim, Nur Anis Nordin. (2012) An Ant Colony System for Routing in PCB Holes Drilling Process, 50-56. In International Journal of Innovative Management, Information & Production 3 (1).

Most electronic manufacturing industries use computer numerical controlled (CNC) machines for drilling holes on... more Most electronic manufacturing industries use computer numerical controlled (CNC) machines for drilling holes on printed circuit board (PCB). Some machines do not choose the optimal route when completing their tasks. Hence, this paper proposes an approach, which is based on ant colony system (ACS), for finding the optimal route in PCB holes drilling process. In ACS, an artificial ant starts to move from a random hole location and moves to the next hole location, based on the pheromone level between the locations of two holes. The higher the pheromones level, the higher the chance for the artificial ant to choose that path. At the same time, that ant deposits its pheromone on the path chosen. This process is repeated until the artificial ant builds a solution, which is evaluated with other artificial ants’ solutions. The best artificial ant deposits additional pheromone to its path. The best-found path is updated as the iteration continues. Experimental result indicates that the proposed ACS-based approach is capable to efficiently find the optimal route for PCB holes drilling process.

TRAINING RADIAL BASIS FUNCTION NETWORKS BY GENETIC ALGORITHMS

by Juliano Mota

Publication on ICAART 2012, Vilamoura - Algarve - Portugal.

Autonomy and Desire in Machines and Cognitive Agent Systems

by Kevin Magill

Co-authored with Yasemin J. Erden, published 'Online First' in 'Cognitive Computation', 2012, DOI DOI 10.1007/s12559-012-9140-9. Available through subscribing institutions. Drop me a line if you can't access.
Substantially revised from 2011 paper of same title.

The development of cognitive agent systems relies on theories of agency, within which the concept of desire is key.... more The development of cognitive agent systems relies on theories of agency, within which the concept of desire is key. Indeed, in the quest to develop increasingly autonomous cognitive agent systems, desire has had a significant role. We argue, however, that insufficient attention has been given to analysis and clarification of desire as a complex concept. Accordingly, in this paper, we will draw on some key philosophical accounts of the nature of desire, including what distinguishes it from other mental and motivational states, in order to identify some key characteristics of desire as a complex concept. We will then draw on these in order to investigate the role, definition and adequacy of concepts of desire within applied theoretical models of agency and agent systems.

Bottom-Up Visual Attention for Virtual Human Animation

by Christopher Edward Peters

Peters, C., and O' Sullivan, C. "Bottom-up visual attention for virtual human animation", Proceedings of the 16th International Conference on Computer Animation and Social Agents (CASA), Rutgers University, New York, pp. 111-117, 2003

We present a system for the automatic generation of bottom-up visual attention behaviours in virtual humans. Bottom-up... more We present a system for the automatic generation of bottom-up visual attention behaviours in virtual humans. Bottom-up attention refers to the way in which the environment solicits one’s attention without regard to task-level goals. Our framework is based on the interactions of multiple components: a synthetic vision system for perceiving the virtual world, a model of bottom-up attention for early visual processing of perceived stimuli, a memory system for the storage of previously sensed data and a gaze controller for the generation of resultant behaviours. Our aim is to provide a feeling of presence in inhabited virtual environments by endowing agents with the ability to pay attention to their surroundings.

Fundamentals of agent perception and attention modelling

by Christopher Edward Peters

Peters, C., Castellano, G., Rehm, M., Andre, E., Volpe, G., Camurri, A., Raouzaiou, A., Rapantzikos, K., Karpouzis, K., and Vasalou, A. .
In P. Petta, C. Pelachaud and R. Cowie (Eds.), Emotion-Oriented Systems: The Humaine Handbook, pp. 293-319, Cognitive Technologies Series, Springer, January 2011 isbn:978-3-642-15183-5
Bibtex available here:
http://www.coventry.ac.uk/ec/~cpeters/bibtex/bibtex.html#HandbookPerception2011

Perception and attention mechanisms are of great importance for entities situated within complex dynamic environments.... more Perception and attention mechanisms are of great importance for entities situated within complex dynamic environments. With roles extending greatly beyond passive information services about the external environment, such mechanisms actively prioritise, augment and expedite information to ensure that the potentially relevant is made available so appropriate action can take place. Here, we describe the rationale behind endowing artificial entities, or virtual agents, with real-time perception and attention systems. We cover the fundamentals of designing and building such systems. Once equipped, the resulting agents can achieve a more substantial connection with their environment for the purposes of reacting, planning, decision making and, ultimately, behaving.

Novelty processing and emotion: conceptual developments, empirical findings and virtual environments

by Christopher Edward Peters

Grandjean, D., and Peters, C.
In P. Petta, C. Pelachaud and R. Cowie (Eds.), Emotion-Oriented Systems: The Humaine Handbook, pp. 441-458, Cognitive Technologies Series, Springer, January 2011 isbn:978-3-642-15183-5
Bibtex available here: http://www.coventry.ac.uk/ec/~cpeters/bibtex/bibtex.html#HandbookNovelty2011

Novelty detection is a crucial ability of organisms to detect changes in the environment and to adapt their behaviours... more Novelty detection is a crucial ability of organisms to detect changes in the environment and to adapt their behaviours accordingly. In this chapter we review a conceptual framework of novelty detection informed by cognitive neuroscience and cognitive psychology. The relationship between attentional processes and novelty detection is also discussed and developed, supported by a case study highlighting methods for implementing a novelty detection capability for artificial agents in virtual environments.

The Anatomy of Interstate Conflict

by Tshilidzi Marwala

Monica Lagazio

Emergence of multiagent spatial coordination strategies through artificial coevolution

by Ivan Ricarte

Co-authored with André Coelho, Daniel Weingaertner and Ricardo Gudwin. Published in Computer and Graphics, 2001.

This paper describes research investigating the evolution of coordination strategies in robot soccer teams. Each... more This paper describes research investigating the evolution of coordination strategies in robot soccer teams. Each player (viewed as an agent) is provided with a common set of skills and is assigned to perform over a delimited area inside a soccer field. The idea is to optimize the whole team behavior by means of a spatial coadaptation process in which new players are selected in such a way to comply with the already existing ones. The main results show that, through coevolution, we progressively create teams whose members act on complementary areas of the playing field, being capable of prevailing over a standard opponent team with a fixed formation.

A reference model for intelligent information search

by Ivan Ricarte

Co-authored with Fernando Gomide. FLINT 2001

The paper aims a tutorial review of the current state of the art in the area of Web search to address information... more The paper aims a tutorial review of the current state of the art in the area of Web search to address information retrieval models and a reference model for intelligent information search. We first review current information Web search models and methods, followed by contributions brought by machine learning, artificial and computational intelligence. As a result, a reference model is sketched. Its purpose is to summarize the main relationships between computational intelligence and information search systems as a means to promote innovative, intelligent information search systems development.

A Reference Software Model for Intelligent Information Search

by Ivan Ricarte

Co-authored with Fernando Gomide. Book chapter: Enhancing the power of Internet, 2004

This chapter provides a tutorial review of the current state of the art in the area of Web search and addresses... more This chapter provides a tutorial review of the current state of the art in the area of Web search and addresses information retrieval models that induce a reference software model for intelligent search systems. For these purposes, we review current information Web search models and methods from the point of view of information retrieval systems. Next, we present a reference software model which abstracts the search and retrieval process. This abstraction is important to identify the points of adaptation to integrate soft computing techniques into the information search and retrieval. We discuss the contributions that machine learning, artificial and computational intelligence brought to improve information retrieval models to enhance information search effectiveness, and to develop intelligent information search. The purpose of the model is to capture the relationships between computational intelligence and information search systems as a means to promote development and implementation of innovative, intelligent information search systems.

Meta-learning: searching in the model space

by Wlodzislaw Duch

Towards understanding of natural language: Neurocognitive inspirations

by Wlodzislaw Duch

Experiments with computational creativity

by Wlodzislaw Duch

Computational intelligence methods for rule-based data understanding

by Wlodzislaw Duch

A Two-Step Binary Particle Swarm Optimization Approach for Routing in VLSI

by Amar Faiz Zainal Abidin

Zulkifli Md Yusof, Amar Faiz Zainal Abidin, Asrul Adam, Kamal Khalil, Jameel Abdulla Ahmed Mukred, Mohd Saberi Mohamad, M. Khalil Hani, Zuwairie Ibrahim. (2012) A Two-Step Binary Particle Swarm Optimization Approach for Routing in VLSI, 771-776. In ICIC Express Letters 6 (3).

Manipulation of wire sizing, buffer sizing, and buffer insertion are a few techniques that can be used to improve time... more Manipulation of wire sizing, buffer sizing, and buffer insertion are a few techniques that can be used to improve time delay in very large scale integration (VLSI) circuit routing. This paper enhances an existing approach, which is based on Particle Swarm Optimization (PSO) for solving routing problem in VLSI circuits. A two-step Binary Particle Swarm Optimization (BPSO) approach, which is based on BPSO, is chosen in this study to improve time delay through finding the best path of wire placement with buffer insertion from source to sink. The best path of wire placement is found in the first step by the first BPSO and then the second BPSO finds the best location of buffer insertion along the wire. A case study is taken to measure the performance of the proposed model and the result is obtained compared with the previous PSO approach for VLSI routing.

Alleviating Escape Panic with Evolutionary Intelligence

by Shelby Darnell

Auburn University Computer and Software Engineering Master's Project Report

Reducing damage, danger, and panic by evolving room designs is possible with artificial intelligence. Escape panic,... more Reducing damage, danger, and panic by evolving room designs is possible with artificial intelligence. Escape panic, brought on by groups of people being in a life-threatening situation, increases the fatality rate and level of property damage
incurred during unfortunate disasters. Currently buildings are designed to a code that tells how many exits a room should possess, but the code doesn’t specify where to place the doors and exactly how many doors there should be in room designs to help alleviate damages to people and property. A genetic algorithm and particle swarm optimizer will be used to find a room design to help alleviate this problem.

Incidental exposure to no-smoking signs primes craving for cigarettes

by Brian Earp

Earp, B. D., Dill, B., Harris, J., Ackerman, J., and Bargh, J. (2011). Incidental exposure to no-smoking signs primes craving for cigarettes: An ironic effect of unconscious semantic processing? Yale Review of Undergraduate Research in Psychology, Vol 2, No 1, 12-23.

The present study tests whether incidental exposure to no-smoking signs may ironically boost craving for cigarettes in... more The present study tests whether incidental exposure to no-smoking signs may ironically boost craving for cigarettes in smokers. Smokers viewed photographs in which no-smoking signs were either incon- spicuously embedded (prime) or edited out (control). Participants then used a joystick to make quick approach vs. avoid motions while viewing smoking-related and neutral stimuli on a computer screen (Chen & Bargh, 1999). We hypothesized that primed smokers, but not controls, would show an automatic reach bias toward the smoking-related stimuli. The data supported our prediction. Possible mechanisms for the effect are discussed, as well as implications for public health policy, negation-based social campaigns in general, and our understanding of the unconscious processing of semantic information.

Computer intelligence equals formalization

by Andrea Bellucci