Weak vs. Strong Computational Creativity

2013

Swarm intelligence via its infamous struggle to identify a suitable balance between exploration and exploitation phases, provides a valuable mean to approach artificial creativity. This work deploys two swarm intelligence algorithms, one simulating the behaviour of birds flocking and fish schooling (Particle Swarm Optimisation) and the other mimicking the behaviour of ants foraging (Stochastic Diffusion Search) in order to lay the foundation for a discussion addressing the concepts of freedom and constraint within the topic of creativity in general, and more specifically their impact on the artificial creativity of the underlying systems. An analogy is drawn on mapping these two `prerequisites' of creativity onto the two well-known aforementioned phases of exploration and exploitation in swarm intelligence algorithms. This is accompanied by the visualisation of the behaviour of the swarms whose performance are evaluated in the context of the arguments presented. Additionally in ...

Atlantis Thinking Machines, 2014

In the spirit of Searle's definition of weak and strong artificial intelligence, this paper presents a discussion on weak computational creativity in swarm intelligence systems. It addresses the concepts of freedom and constraint and their impact on the creativity of the underlying systems. An analogy is drawn on mapping these two 'prerequisites' of creativity onto the two well-known phases of exploration and exploitation in swarm intelligence algorithms, followed by the visualisation of the behaviour of the swarms whose performance are evaluated in the context of arguments presented. The paper also discusses that the strong computational creativity is presented in ways emphasising that genuine creativity implies 'genuine understanding' and other cognitive states, along with autonomy-asserting that without 'Strong Embodiment', computational systems are not genuinely autonomous.

2012

Abstract This work introduces two swarm intelligence algorithms���one mimicking the behaviour of one species of ants (Leptothorax acervorum) foraging (a 'stochastic diffusion search', SDS) and the other algorithm mimicking the behaviour of birds flocking (a 'particle swarm optimiser', PSO)���and outlines a novel integration strategy exploiting the local search properties of the PSO with global SDS behaviour.

International Journal of Online Engineering (iJOE), 2011

This research work presents a systematic investigational study of an interesting challenging phenomenon observed in natural world. Mainly, presented study concerned with conceptual interdisciplinary analysis and evaluation of quantified learning creativity phenomenon. Associated with diverse aspects of measurable behavioral learning performance.

Swarm intelligence models are referred to as computational models inspired by natural swarm systems. To date, several swarm intelligence models based on different natural swarm systems have been proposed in the literature, and successfully applied in many real-life applications.

Zenodo (CERN European Organization for Nuclear Research), 2021

Swarm intelligence refers to a kind of problem-solving ability that emerges in the interactions of simple information-processing units. The concept of a swarm suggests multiplicity, stochasticity, randomness, and messiness. Advancement of technology has led to problems that are complex and more challenging.Swarm intelligence techniques were mostly developed for solving optimization problems.

International Journal of Advanced Research in Computer Science and Software Engineering

Swarm intelligence is the emergent collective intelligence of groups of simple agents. It belongs to the emerging field of bio-inspired soft computing. It is inspired from the biological entities such as birds, fish, ants, wasps, termites, and bees. Bio-inspired computation is a field of study that is closely related to artificial intelligence. This paper provides a brief introduction to swarm intelligence.

Natural Computing, 2010

Uluslararası yönetim akademisi dergisi, 2023

Teknolojik gelişmeler her geçen gün hayatımızı değiştirmekte ve şekillendirmektedir. İnsanoğlunun en önemli teknolojik keşiflerinden biri de yapay zekâdır. Yapay zekâ, hayatın birçok alanında kullanılan bir teknolojidir. Bilişim, tıp, sanayi ve hukuk gibi alanlarda aktif bir şekilde kullanılan bu teknolojiye artık evimizi süpürürken bile rastlamak mümkündür. Hızla gelişen teknoloji ile birlikte yapay zekâ da kendine yeni alanlar bulmaktadır. Bu çalışmada birçok alanda kullanılan yapay zekâ teknolojisinin uluslararası hukuk alanında kullanılıp kullanılamayacağı araştırılmıştır. Öncelikle yapay zekâ teknolojisi hakkında genel anlamda tanımlamalar yapılmış, devamında ise yapay zekânın, hukuk dâhil mevcut kullanım alanları örnekler ile birlikte değerlendirilmiştir. Bu değerlendirmeler referans alınarak yapay zekânın uluslararası hukuk disiplininde kullanılabileceği alanlar ile bu alanlarda nasıl kullanılabileceğine yönelik aşamalı yöntemler önerilmiştir. Son olarak da yapay zekânın uluslararası hukuk alanında kullanımına ilişkin riskler analiz edilmiştir. Günümüz teknolojisi ile birçok insanın hayatını etkileyecek kararlar verebilecek bir yapay zekâ oluşturmak henüz mümkün değildir. Ancak teknolojik gelişim hızı ve ihtiyaçlar dikkate alındığında konunun tartışılması ve nasıl olacağı konusunda fikirsel üretimlere başlanılması gerektiği düşünülmektedir. Bu çalışma da bu konuda bir altlık görevi üstlenerek genel bir perspektif sunmayı hedeflemiştir.

Three Retellings of the Samaritan Woman Story, 2024

In seeking a fresh reading of John 4, the Three Retellings of the Samaritan Woman Story exposes bias and our tendencies to read into the text what may not be there at all. The document is dramatic and serves prosopopeically to illumine John's literary purpose. This document is intended to complement historical exegesis.