Artificial intelligence is fused with multimedia to make the subjects more “human.” The processes are aimed at making human beings feel comfortable in the company of the creations. The creations create the feeling of cloning human companionship. The articulation of the two, is aimed at stimulating those human actions, e.g. feeling, touching and seeing, that seem complex to replicate. The whole topic of artificial intelligence in multimedia production cannot be described by one project or system. Artificial intelligence is a wide and broad area. To explore all corners of artificial intelligence, the report is mainly focused on the system and projects that expound on artificial intelligence based on multimedia. Several case studies on art project that incorporated artificial intelligence are described below. Case studies Thomas Ray, Tierra (1998) The Tierra is software created to represent natural evolution in the medium that is natural. The software uses artificial intelligence to create a virtual computer that runs on an evolving operating system. The software uses an evolving operating system called Darwinian operating system (Ackley & Littman, 1990). The Darwinian operating system has its architecture based on executable machine codes. The machine codes evolve with each execution. The machine codes can be either be mutated or recombined. Despite the changes in the codes, the resulting codes remain functional. The functionality of the codes is durable. The code evolves through the process of natural selection. The code improves itself with each change in the natural selection. The Darwinian operating system manages the memory that the software uses. Time is shared accordingly among the services that run along with the program. The operating system also controls the factors that tend to affect and distort the course of evolution. The factors include disturbances on the cycles, the mutation rates, and allocation of processor time to each creature that is within the covered ecosystem (Ackley & Littman, 1990). The operating system also records birth and deaths, a sequential code that covers all the creatures, and a gene bank where successful genomes are stored. The program uses artificial intelligence to automate ecological analysis. All types of interactions that take place among the creatures in the simulated ecology are recorded. The system produces synthetic organisms. The synthetic organisms are based on a metaphor of the computer. The CPU time is used as the energy in the ecosystem. The memory is used as the material in each organism within the ecosystem. Mutation is responsible for creating new forms into the ecosystem, a process represented by the evolving machine codes. Evolution precedes the ecosystems natural selection. Natural selection is represented by the competition of the different genotypes for energy (CPU time) and material (memory space) (Ackley & Littman, 1990). The system combines both artificial intelligence and multimedia using digital communities to diversify the ecosystem. The digital communities are used to represent coexistence and competitive exclusion, regulation of the population through parasite/host density, punctuated equilibrium, and enhancement of the community diversity through parasitic effect. The software represents a natural evolution in the digital medium. Kenneth Rinaldo, Autopoeisis (2000) Autopoiesis is an installation of robotic
Artificial intelligence in multimedia production Name: Instructor: Course: Data: Introduction Artificial intelligence an approach used to design intelligent agents. Intelligent agents are systems that are able to perceive their environments and use the perception results to maximize on its chances of success…
From the research it can be comprehended that artificial intelligence is rapidly improving in development and growth. It has been embedded into most systems, to improve performance. The researcher’s analysis and opinion of AI is that the integration of intelligent systems has led to tremendous growth in different industries.
It seems that the time is come to start thinking (and acting) to establish a standard of comparison, that could objectively tell how far we have gone along the road of constructing ever better AI systems. Devising an Intelligence Quotient IQ – for machines or any intelligent system would be, perhaps, advancement but unfortunately, the history of the development of techniques to measure human IQ, the first source checked to find applications to AI, points to a very fuzzy zone.
Sometimes the people get stuck with such challenges that it takes almost ages to solve that challenge; while on the other hand certain challenges can easily be handled. A challenge which has persistently remained a challenge for a number of decades is the process of understanding oneself, decoding what is inside our bodies and brain, the working and mechanism which makes our brain work and makes us so intelligent, the circuitry of our brain and many other such questions which are relevant on the design and working of our minds.
Scientists would perhaps say that artificial intelligence is the attempt to create artificial life by way of enhancing computer capabilities to match those of humans. Today, AI has been introduced to many aspects of life development such as: computer programming, gene programming, image recognition, vision systems, logistic programming and many more.
AI is futuristic as it showcases the rapid advancement of technology facilitating the invention of mechas (robots). However, instead of featuring the sophistication of these machines the movie centered on human aspect-love. AI recounts the story of a mecha who is programmed to love its parents though the real theme is whether human beings can love mechas in return.
This paper follows how the project teams responsible for developing artificial intelligence (AI) and explores the impact of said systems as well as how the impact of AI systems has on society, and proposes enhanced ethical and professional roles for artificial intelligence developers, with an emphasis on interpersonal communication and impact awareness.
The strength of most of the businesses lies in the most appropriate use of technology. This not only gives them the cutting edge but also help them to compete successfully in the marketplace or to streamline current operations.
IT professionals utilise their business-based backgrounds in working with managers and users to specify technology needs that benefits the organisation (England & Finney, 2002).
Many problems in AI are like this one, where members of each "camp" would like to do it their way.
If the aim of human-oriented AI is to develop common sense, an extreme example of the purely symbolic approach is to be seen in the Cyc project (Doug Lenat).
In relation to Picard’s view of the mind/body problem, he exhibits behaviorism. Behaviorism which is more focused learning as only an acquisition of behavior based on environmental conditions. Since Data can learn and acquire a certain behavior through
by researchers in almost the same epoch: Symbolic Artificial Intelligence – SAI – and Connectionist Artificial Intelligence – CAI – based respectively on symbols and rules and in artificial neurons. It seems that the time is come to start thinking (and acting) to
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