Observing that the creation of certain types of artistic artifacts necessitate intelligence, we present the Lovelace 2.0 Test of creativity as an alternative to the Turing Test as a means of determining whether an agent is intelligent. The Lovelace 2.0 Test builds off prior tests of creativity and additionally provides a means of directly comparing the relative intelligence of different agents.

We argue for "hyper"-logicism, the view, hitherto unarticulated, that AI can succeed in creating a genuine robot agent by building a symbol system of the appropriate sort which has no sub-symbolic interaction whatsoever with the external world.

In this paper we approach both procedural and substantive irrationality of artificial agent cognitive systems and consider that when it is not possible for an agent to make a logical inference (too expensive cognitive effort or not enough knowledge) she might replace certain parts of the logical reasoning with mere associations.

We demonstrate CISpaces, a system for agent-aided collaborative intelligence analysis. CISpaces exploits collaboration to ease the effort of constructing hypotheses from acquired information. Argumentation-based reasoning is employed by a sensemaking agent to identify plausible hypotheses and to compute their likelihood to be justified. Information requirements are handled by a crowdsourcing ag...

Intelligent mobile agent technology is one of the most promising oftbe newer software paradigms for providing solutions to complex, distributed computing problems. Agent properties of autonomy, intelligence and mobility provide a powerful platform for implementations that can utilize techniques involving collaborative problem solving and adaptive behavior. Although the technological tools and c...

Intelligent mobile agent technology is one of the most promising of the newer software paradigms for providing solutions to complex, distributed computing problems. Agent properties of autonomy, intelligence and mobility provide a powerful platform for implementations that can utilize techniques involving collaborative problem solving and adaptive behavior. Although the technological tools and ...

Recent research in distributed artificial intelligence (DAI) has shown that different organizational forms to which agents may organize themselves have beneficial and varying effects on the performance of multiagent systems (MAS) regarding scalability, agent drop-out safety and flexibility. This talk presents a concept to enlarge a spectrum of five organizational forms that has been specified w...

In order for robots to assist and interact with humans, they must be socially intelligent. Social intelligence is the ability to communicate and understand meaning through social interaction. Artificial intelligence can be broadly described, as an effort to describe and simulate the property of human intelligence inside of a computational model. In most cases, this simulation happens in a vacuu...

Agent based systems are a relatively new idea within artificial intelligence. Essentially an agent is a ”system situated within and a part of an environment that senses that environment and acts on it, over time, in pursuit of its own agenda and so as to effect what it senses in the future”[3]. Single agent systems have been the mainstay for a long time but in recent years multi agent systems h...

The concept of an intelligent software agent has emerged from its origins in artificial intelligence laboratories to become an important basis for the development of distributed systems in the mainstream computer science community. This paper provides a review of some of the ideas behind the intelligent agent approach and addresses the question “what is an agent?” Some principle application are...