Knowledge-driven systems and ecosystems with multiple agents
Multi agent environment
In a multi-agent environment, multiple agents operate within the same context, each making decisions autonomously based on its individual state in order to collectively achieve the goal.
Information Base
a group of formal sentences
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Reasoning entities
utilising internal knowledge representations to inform reasoning
These agents require a database of knowledge.
Add fresh perspectives
deduce the world's hidden characteristics
Emergence
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Patterns of behaviour
Individuals follow simple rules
Macro-level phenomenon
Emergent complexity
Multi-agent environments
In multi-agent environments, planning involves cooperation and coordination among agents, where each agent independently devises its own plan while considering the actions and intentions of other agents to achieve shared or individual goals.
An agent that is knowledge-based
In the realm of knowledge-based agents, these entities possess the capacity to maintain an internal state of knowledge, engage in reasoning processes over that knowledge, update their knowledge based on observations, and subsequently enact actions accordingly.
Cellular automata
Across all kinds of life, from humans to microbes, decision-making is ubiquitous. Neural networks and other adaptive networks depend on rule-based learning, which is different from artificial intelligence because it follows the same guidelines as natural intelligence.
Qualities of an agent depending on knowledge
In delineating the characteristics of a knowledge-based agent, it should possess the capability to represent states, actions, and other pertinent information. Furthermore, it ought to be equipped to seamlessly integrate new insights or precepts into its existing knowledge framework.